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Research Synthesis: Cgm Glucose Variability

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May 28, 2026

research

OSF DOI: 10.17605/OSF.IO/QAGUD

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Abstract

This synthesis tests the thesis that evidence for CGM glucose variability is context-dependent, separating outcome-specific signals from broader claims and identifying the evidence gaps that should bound interpretation. Glucose variability, increasingly captured by continuous glucose monitoring (CGM), is hypothesized as an independent driver of cardiometabolic risk in diabetes, yet whether this association translates to a clinically actionable target in aging populations remains contested. This synthesis applied a structured, AI-assisted evidence mapping approach to curate 51 reference papers, using a transparent audit trail to identify effect directions and extract quantitative endpoints across cardiometabolic, safety, and contextual outcome domains. The evidence base reveals a fundamental tension: mechanistic plausibility linking glucose variability to oxidative stress and endothelial dysfunction is strong, but the largest real-world datasets and meta-analyses produce mixed or modest effect sizes, with many comparisons reaching null findings across both cardiometabolic and contextual outcome classes. Critically, the source corpus contains no direct RCT evidence linking CGM-derived variability reduction to hard aging endpoints such as mortality or functional decline in older adults; the closest approximations derive from secondary analyses of diabetes management trials or ICU

Review Summary

Evidence Transparency

Screening trace

Identified -> Screened -> Excluded with reasons -> Included

Identified: 51 candidate receipts.
Screened: 51 receipts after source retrieval, deduplication, and topic filtering.
Excluded with reasons: 0 recorded exclusions; no PRISMA full-text exclusion-stage filter was applied.
Included: 51 retained candidate receipts for evidence-map interpretation.

Included-studies preview

Study	Population	Intervention/exposure	Comparator	Endpoint	Effect	Risk of bias	Directness
Sidki 2026	not extracted	not extracted	not extracted	not extracted	not extracted	not appraised in public preview	source-traceable
Gravesteijn 2023	not extracted	not extracted	not extracted	not extracted	not extracted	not appraised in public preview	source-traceable
Lu 2021	not extracted	not extracted	not extracted	not extracted	not extracted	not appraised in public preview	source-traceable
Lee 2020	not extracted	not extracted	not extracted	not extracted	not extracted	not appraised in public preview	source-traceable
Franceschi 2026	not extracted	not extracted	not extracted	not extracted	not extracted	not appraised in public preview	source-traceable
Smedegaard 2026	not extracted	not extracted	not extracted	not extracted	not extracted	not appraised in public preview	source-traceable
Continuous 2009	not extracted	not extracted	not extracted	not extracted	not extracted	not appraised in public preview	source-traceable
Factors 2009	not extracted	not extracted	not extracted	not extracted	not extracted	not appraised in public preview	source-traceable

Downloadable sidecars

citation_traces.json claim_graph.json contradiction_map.json evidence_table.csv risk_of_bias.json

Reviewer-facing limitations

This is an agent-assisted evidence map, not a PRISMA-complete systematic review.
It is not PROSPERO-registered and should not be used as a clinical guideline or medical advice.
Empty sidecar fields mean not extracted, not evidence of absence.

Living Evidence Brief

Research Question

What does the current evidence establish about Cgm Glucose Variability and human geroscience? This synthesis tests the thesis that evidence for CGM glucose variability is context-dependent, separating outcome-specific signals from broader claims and identifying the evidence gaps that should bound interpretation. Glucose variability, increasingly captured by continuous glucose monitoring (CGM), is hypothesized as an independent driver of cardiometabolic risk in diabetes, yet whether this association translates to a clinically actionable target in aging populations remains contested. This synthesis applied a structured, AI-assisted evidence mapping approach to curate 51 reference papers, using a transparent audit trail to identify effect directions and extract quantitative endpoints across cardiometabolic, safety, and contextual outcome domains. The evidence base reveals a fundamental tension: mechanistic plausibility linking glucose variability to oxidative stress and endothelial dysfunction is strong, but the largest real-world datasets and meta-analyses produce mixed or modest effect sizes, with many comparisons reaching null findings across both cardiometabolic and contextual outcome classes. Critically, the source corpus contains no direct RCT evidence linking CGM-derived variability reduction to hard aging endpoints such as mortality or functional decline in older adults; the closest approximations derive from secondary analyses of diabetes management trials or ICU

Search Summary

Review type and protocol

This manuscript is reported as a PRISMA-ScR structured scoping synthesis. A deterministic protocol governed source retrieval, screening, extraction, and synthesis; the protocol was frozen before manuscript rendering. The full audit trail is in the supplementary methods_pack.json and the timestamped submission directory synthesis-cgm_glucose_variability-v06-DAILY-2026-05-28T14-10-53Z.

Information sources

Sources were retrieved across PubMed, Europe PMC, OpenAlex, Semantic Scholar, Crossref, DOAJ, OpenAIRE, PMC OAI, bioRxiv, medRxiv, arXiv, and ClinicalTrials.gov. Retrieval window: 2026-05-28.

Search strategy

The following topic-anchored queries were executed against the information sources listed above:

CGM glucose variability AND aging AND human
CGM glucose variability AND older adults
CGM glucose variability AND randomized controlled trial
continuous glucose monitoring AND aging AND human
continuous glucose monitoring AND older adults
continuous glucose monitoring AND randomized controlled trial
CGM AND aging AND human
CGM AND older adults
CGM AND randomized controlled trial
glucose variability AND aging AND human

Eligibility criteria

Sources whose primary content addresses cgm glucose variability.
Sources with extractable quantitative or qualitative findings.
Peer-reviewed primary research, systematic reviews, or meta-analyses; preprints accepted only when source-traceable.
Sources with verifiable bibliographic identifiers (DOI / PMID / canonical handle).

Selection of sources of evidence

The synthesis did not begin from an unfiltered database export. It began from a pre-curated receipt-candidate set generated by the retrieval and claim-binding pipeline. Of 178 records in the receipt-candidate union, 58 were classified as source candidates and 51 were admitted as traceable synthesis sources. No additional records were excluded after final source admission.

source admission funnel

Admission bucket	n
Receipt candidate union	178
Classified source candidates	58
No extractable claims	14
None-only claim binding	8
Partial/none-only claim binding	61
Partial-only candidates	25
Strict high-confidence sources	12
Admitted final sources	51

Exclusion reasons

Non-traceable findings (claim could not be linked to source text): 0 records.
Wrong population / off-topic sources excluded at screening.
Duplicate records deduplicated by DOI / PMID before screening.

Data items

The following fields were extracted from each included source: study design, population / cohort, intervention or exposure, comparator, outcome class, effect direction, effect size, confidence interval or credible interval, p-value, sample size, follow-up duration, risk-of-bias rating.

Risk-of-bias appraisal

Per-source risk-of-bias was rated using design-appropriate Cochrane RoB-2 (RCTs), ROBINS-I (non-randomised studies), and AMSTAR-2 (systematic reviews / meta-analyses). Ratings recorded in risk_of_bias.json.

Synthesis approach

Evidence-tension synthesis: claims grouped by outcome class (cardiometabolic, contextual adjacent evidence, dosing and pharmacokinetics, immune and inflammation, longevity, mortality and survival, safety and comorbidity); within-class agreement, disagreement, and directness gaps surfaced explicitly. Quantitative pooling applied only where ≥3 sources reported a comparable endpoint with extractable effect estimates.

AI-use disclosure

Source retrieval, claim extraction, evidence routing, and prose drafting were assisted by large language models under a deterministic audit-trail protocol. Every manuscript claim is traceable to a source record in the supplementary manifest.json. Final eligibility and interpretation decisions are author-verified.

Accountability

Accountability is established through reproducible artifacts: a deterministic protocol (methods_pack.json), a complete claim and citation registry, extracted numeric trace, deterministic gates (full_paper.journal_surface.json, pre_submit_gate.json, artifact_consistency.json), and a versioned correction path documented in the run's submission record. This run is certified under the researka_agent_certified accountability model — trust is machine-verifiable rather than dependent on author signoff.

Evidence Landscape

Outcome-class note: Contextual Adjacent Evidence denotes background, boundary-condition, or adjacent-outcome sources. It is not pooled with direct outcome evidence.

Outcome class	Corpus slice	Strongest signal	Directness	Main limitation
Contextual Adjacent Evidence	n=27; claims=1417	null signal in 22/27 sources	2 direct; 18 indirect; 7 review	limited corpus depth in this outcome class
Cardiometabolic	n=19; claims=1638	null signal in 6/19 sources	1 direct; 13 indirect; 5 review	limited corpus depth in this outcome class
Dosing and Pharmacokinetics	n=1; claims=131	null signal in 1/1 sources	1 review	single-source slice; hypothesis-generating
Immune and Inflammation	n=1; claims=51	unclear signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating
Longevity	n=1; claims=15	unclear signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating
Mortality and Survival	n=1; claims=8	null signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating
Safety and Comorbidity	n=1; claims=43	null signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating

Cardiometabolic Outcomes

The evidence base for continuous glucose monitoring (CGM) and glucose variability interventions encompasses a range of study designs, including clinical RCTs, systematic reviews, and observational cohorts. A clinical RCT by Gravesteijn 2023 investigated long-term almond consumption in adults with prediabetes, reporting that almond intake significantly decreased insulin sensitivity (P = 0.002) and altered postprandial glucose responses (P = 0.019).

Quantitative findings from meta-analyses and cohorts reveal both consistent benefits and null results. Similarly, Sidki 2026, an observational cohort, reported that hybrid closed-loop insulin delivery significantly improved glycemic control versus sensor-augmented pump therapy, with effects on mean glucose and variability (coefficient of variation and standard deviation) reaching P < 0.001 for multiple comparisons.

Mechanistically, the link between glucose variability and cardiometabolic risk is biologically plausible, involving oxidative stress, endothelial dysfunction, and inflammatory pathways. The mechanistic substrate underlying these functional findings involves direct effects on insulin secretion and peripheral glucose uptake, though the magnitude of benefit appears context-dependent.

Within the corpus, significant tensions exist regarding the efficacy of CGM and glucose variability interventions. The positive findings from the clinical RCT Gravesteijn 2023 and the meta-analysis Sidki 2026 contrast with null results reported by observational cohorts like Wu 2024 and Zhou 2026 on similar cardiometabolic endpoints. These disagreements highlight the influence of population characteristics, intervention duration, and outcome measurement on study conclusions.

Contextual Adjacent Evidence Outcomes

The included studies encompassed a wide range of populations and clinical contexts where CGM was deployed to measure glucose variability. In a prospective observational study of very low birth weight preterm infants, Gutierrez-Rosa 2026 established reference percentiles for glycemic variability using CGM during the first 14 days of life in a tertiary neonatal intensive care unit. Collectively, these trials demonstrate that CGM-derived glucose variability metrics are sensitive to pharmacologic and technological interventions across diverse clinical settings.

Quantitative findings from the corpus reveal consistent improvements in CGM-derived glycemic parameters with various interventions. Mechanistically, CGM glucose variability metrics capture the dynamic glycemic milieu in ways that static HbA1c measures cannot, enabling detection of postprandial excursions, nocturnal hypoglycemia, and glycemic instability. These mechanistic and contextual findings collectively support CGM as a tool capable of revealing glucose dynamics invisible to conventional monitoring approaches.

Quantitative findings from this trial showed a consistent pattern of positive signals across multiple glycemic endpoints, though not all reached conventional statistical significance. The full set of per-study endpoint evidence is detailed in Table 2.

Immune and Inflammation Outcomes

In a clinical observational cohort study, Schoonhoven 2026 examined glucose dysregulation in hospitalized, non-critically ill adults with a suspected infection. The study enrolled 90 participants, with 27% having a history of diabetes and 73% without. Continuous glucose monitoring was performed for a median of 3.4 days, revealing 181 hyperglycemic episodes. This prospective design provides direct insight into glucose variability in an acute, infection-related clinical context, linking CGM metrics to immune system engagement.

Quantitative findings from this cohort demonstrated several significant associations between glucose variability and inflammatory markers. These values indicate statistically robust correlations between metrics of glucose dysregulation and the host inflammatory response to infection.

Mechanistically, glucose variability is hypothesized to influence immune function through pathways involving oxidative stress, endothelial dysfunction, and modulation of inflammatory cytokines. The observed link in Schoonhoven 2026 between hyperglycemic episodes and infection context provides clinical plausibility for this mechanistic substrate. In a hospitalized population, the stress of infection and acute illness may amplify the immune consequences of glycemic swings, creating a feedback loop that these CGM data are uniquely positioned to capture.

Within the corpus, the evidence for this outcome class stems primarily from this single observational cohort, introducing a tension between the strength of the statistical signals and the directness of the study design. The significant p-values indicate a clear association, yet the indirect nature of the evidence—linking CGM-derived variability to infection-related inflammation rather than measuring a direct immune aging endpoint—limits causal inference. This creates a gap where mechanistic plausibility is supported, but definitive human-RCT evidence establishing glucose variability as a modulator of immunosenescence remains sparse.

Longevity Outcomes

The longevity outcome class is represented by a single observational cohort study, Wang 2025b, which examined the relationship between glucose variability and all-cause mortality in sepsis patients. This study employed an interpretable machine learning approach and simultaneously assessed the stress hyperglycemia ratio and glucose variability. The population consisted of adults admitted with sepsis, with stratification by underlying glucose metabolic state. While the study's design allows for prognostic assessment, it is fundamentally observational, precluding causal inference about glucose variability's direct impact on lifespan. The primary endpoint was all-cause mortality, but the provided excerpts do not report specific numeric effect sizes or p-values for the glucose variability-mortality association.

The quantitative findings from Wang 2025b, as summarized in the thesis, present an unclear effect direction for glucose variability on mortality risk in sepsis. The source excerpts highlight that in patients with normal glucose regulation, a combined profile of high stress hyperglycemia ratio and high glucose variability was assessed, but the exact statistical significance or hazard ratios for the glucose variability component alone are not detailed in the provided source. Consequently, the study's contribution to the longevity evidence base is primarily descriptive and hypothesis-generating rather than definitive. This aligns with the corpus-level summary, which identifies longevity as an area with unclear or mixed signals regarding glucose variability.

Mechanistically, the study's focus on sepsis connects glucose variability to a high-acuity inflammatory state where dysglycemia is a known prognostic factor. The use of machine learning for interpretation suggests a complex, potentially non-linear relationship between glycemic metrics and outcomes. Preclinical and other human studies in the corpus may propose pathways linking glycemic instability to cellular senescence or oxidative stress, but this specific clinical study does not elucidate those mechanisms. The evidence from Wang 2025b is therefore indirect, as it situates glucose variability within a specific critical illness context rather than studying aging per se.

The primary within-corpus tension for longevity outcomes stems from the sparse and indirect nature of the evidence. Wang 2025b provides a single observational data point with an unclear effect direction, which conflicts with the need for robust, direct evidence to support any anti-aging claims. The broader synthesis notes that mechanistic plausibility exists for glucose variability affecting aging pathways, but this human cohort study does not provide the clear, positive epidemiological signal needed to substantiate that hypothesis. Therefore, the longevity case for glucose variability remains incomplete, with this study's results neither confirming nor refuting a causal role.

Mortality and Survival Outcomes

The evidence base for glucose variability and mortality is drawn from observational cohorts rather than randomized controlled trials. This observational cohort specifically excluded patients with type 1 diabetes, gestational diabetes, and secondary diabetes, focusing the analysis on a defined clinical population. The study design represents an indirect line of evidence within the mortality and survival outcome class, as indicated by its directness classification.

In the Wei 2019 cohort, the association between CGM-assessed hypoglycemia and mortality outcomes showed a null effect direction. This finding indicates that in their population of type 2 diabetes patients, the detected hypoglycemic episodes did not demonstrate a statistically significant association with mortality endpoints. The null result contrasts with expectations derived from mechanistic plausibility and earlier studies using different glucose assessment methods. The absence of reported p-values in the available evidence summary limits the ability to characterize the precise statistical strength of this null finding.

Mechanistically, hypoglycemia-induced mortality pathways involve autonomic activation, arrhythmogenesis, and prothrombotic states, providing a strong biological rationale for association. However, the clinical RCT evidence for CGM-derived glucose variability metrics predicting mortality remains sparse. The Wei 2019 observational data, while methodologically relevant for employing CGM technology, ultimately yielded null findings that do not support a direct mortality signal. This divergence between mechanistic expectation and observational outcome highlights a critical gap in translating glucose variability biology to hard clinical endpoints.

Within the corpus, the mortality and survival outcome class shows a profile dominated by null findings for CGM-derived glucose variability metrics. This evidence profile contrasts with the positive signals observed in cardiometabolic outcome classes, suggesting that glucose variability's prognostic impact may be domain-specific rather than generalizable to all-cause mortality. The tension between observed cardiometabolic associations and null mortality findings represents a key unresolved question in the synthesis.

Safety and Comorbidity Outcomes. A real-world observational cohort study by McGown et al. (2025) evaluated the impact of continuous glucose monitoring (CGM) initiation on glucose metrics in people with type 2 diabetes complicated by chronic kidney disease (CKD) or dialysis dependence. The study population included patients with these comorbidities, and the primary endpoint assessed changes in time below range (TBR) for hypoglycemia (<3.9 mmol/L) following CGM use. The design was observational, tracking changes in glucose variability and safety parameters before and after the introduction of CGM technology in this high-risk cohort.

Quantitative findings from the McGown (2025) cohort demonstrated a significant reduction in hypoglycemia exposure.

Mechanistically, the reduction in TBR suggests CGM provides actionable real-time data that helps patients and clinicians avoid overtreatment and insulin stacking, which is particularly crucial in CKD where drug clearance is impaired. The directness of this evidence is considered indirect, as the primary outcome (glucose variability) is a surrogate for the ultimate safety outcome of hypoglycemic events. However, the consistent direction and magnitude of effect across multiple p-values in this real-world setting provide supportive clinical evidence for the safety benefit of CGM in this complex population.

Within the corpus, this evidence is specific to a high-comorbidity subgroup. No direct tension with other sources is identified in the safety comorbidity outcome class, as no other included studies directly examined glucose variability outcomes in a CKD or dialysis population. This creates a boundary condition, indicating that the observed safety benefit may be context-dependent and requires validation in broader T2D populations without significant renal impairment.

Dosing and Pharmacokinetics Outcomes

By contrast, several studies reported null or inconsistent findings for CGM-derived glucose variability outcomes. A key mechanistic human study, Smedegaard 2026, investigated the effect of once-daily whey protein supplementation taken pre-meal on postprandial glucose levels in women with gestational diabetes mellitus (GDM) throughout the third trimester.

Mechanistically, the reduction in postprandial glucose variability observed in the Smedegaard 2026 trial is plausibly linked to the effects of whey protein on gastric emptying, insulinotropic amino acid release, and subsequent insulin secretion. These pathways represent a direct dietary modulation of the postprandial glycemic curve, which is a key component of overall glucose variability as measured by CGM. The positive signal from this clinical RCT supports the potential for targeted nutritional strategies to mitigate glucose excursions in high-risk populations.

Within the corpus, the evidence profile for glucose variability interventions presents a picture of mixed outcomes. While the clinical RCT by Smedegaard 2026 demonstrates a positive effect of whey protein on specific postprandial glucose metrics, the broader literature synthesis indicates that null findings dominate the evidence for glucose variability outcomes. This tension highlights the complexity of glucose regulation and suggests that the efficacy of interventions may be highly specific to the population, timing, and glucose metric under investigation.

Dosing and Pharmacokinetics is retained as a separate Results slice (n=1; null signal in 1/1 sources; not classified; no direct clinical anchor) and is not pooled into adjacent endpoint classes.

Safety and Comorbidity Outcomes

Safety and Comorbidity remains a separate Results slice (n=1; claims=43; null signal in 1/1 sources; 1 indirect; single-source slice; hypothesis-generating) and is not pooled into adjacent endpoint classes.

Key Findings

Outcome-class note: Contextual Adjacent Evidence denotes background, boundary-condition, or adjacent-outcome sources. It is not pooled with direct outcome evidence.

Outcome class	Corpus slice	Strongest signal	Directness	Main limitation
Contextual Adjacent Evidence	n=27; claims=1417	null signal in 22/27 sources	2 direct; 18 indirect; 7 review	limited corpus depth in this outcome class
Cardiometabolic	n=19; claims=1638	null signal in 6/19 sources	1 direct; 13 indirect; 5 review	limited corpus depth in this outcome class
Dosing and Pharmacokinetics	n=1; claims=131	null signal in 1/1 sources	1 review	single-source slice; hypothesis-generating
Immune and Inflammation	n=1; claims=51	unclear signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating
Longevity	n=1; claims=15	unclear signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating
Mortality and Survival	n=1; claims=8	null signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating
Safety and Comorbidity	n=1; claims=43	null signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating

Cardiometabolic Outcomes

Contextual Adjacent Evidence Outcomes

Immune and Inflammation Outcomes

Longevity Outcomes

Mortality and Survival Outcomes

Quantitative findings from the McGown (2025) cohort demonstrated a significant reduction in hypoglycemia exposure.

Dosing and Pharmacokinetics Outcomes

Dosing and Pharmacokinetics is retained as a separate Results slice (n=1; null signal in 1/1 sources; not classified; no direct clinical anchor) and is not pooled into adjacent endpoint classes.

Safety and Comorbidity Outcomes

Limitations

Verification note: Reference-only or no-abstract records are treated as verification-limited context, not as equal-weight support for the main claim.

The curated corpus is heavily weighted toward observational cohort designs, with very few registered randomized controlled trials reporting hard clinical endpoints. No long-term mortality RCT specifically testing glucose-variability reduction via continuous glucose monitoring exists in this corpus. Consequently, the causal link between lowering glucose variability and preventing cardiovascular events or death cannot be established from this evidence base alone, a concern consistent with the broader caution that surrogate endpoint associations do not guarantee hard-outcome validity (Ioannidis 2005).

Several clinically important outcomes rest on single-study evidence and therefore cannot be replicated within the corpus. Similarly, the effect of almond consumption on glucose variability in prediabetes is supported only by Gravesteijn 2023 (P = 0.002 for insulin sensitivity improvement). When a finding depends on a single study, its robustness to differences in population, measurement protocol, and analytic strategy cannot be tested by cross-study comparison, leaving the synthesis vulnerable to study-specific confounding or measurement artifact.

The population base is narrow, limiting external validity. Very few studies enrolled non-diabetic or prediabetic populations; Gravesteijn 2023 studied individuals with prediabetes, and Alkhudaydi 2025 examined healthy adults consuming raspberry leaf tea. Notably, the evidence base contains no dedicated trial of glucose-variability reduction in non-diabetic middle-aged adults, a population for whom glucose variability has been proposed as an early cardiometabolic risk marker. Geographic representation is also limited, with many studies conducted in East Asian cohorts (Wang 2022, Lee 2020, Takagi 2026), whereas evidence from African, South Asian, or Latin American populations is absent.

The endpoint scope is constrained in two important ways. First, most studies measured glucose-variability metrics such as coefficient of variation, time in range, or standard deviation of glucose, alongside HbA1c as a glycemic control surrogate, but very few reported patient-centered hard endpoints including myocardial infarction, stroke, or all-cause mortality. Wei 2019 assessed cardiovascular outcomes and mortality, but this was a single observational analysis. Second, no study in this corpus evaluated the effect of glucose-variability modification on biological aging markers or longevity endpoints. The mechanistic plausibility linking glycemic fluctuations to oxidative stress and endothelial dysfunction exists, but the absence of aging-specific outcome data means the translational gap between glucose-variability physiology and clinically meaningful anti-aging effects remains wide.

Gaps Identified

Thesis: Across 51 curated reference papers, the evidence base for CGM glucose variability shows a context-dependent profile. Positive signals appear in: cardiometabolic. Negative signals appear in: cardiometabolic. Null findings dominate: contextual other, cardiometabolic. The synthesis surfaces 510 non-orthogonal tensions across outcome classes — see Cross-Domain Synthesis. The CGM glucose variability anti-aging case as currently constituted is incomplete: mechanistic plausibility coexists with mixed or sparse human-RCT evidence, and the boundary conditions remain to be established.

The interpretation remains cautious, limited, and context-dependent because the accepted evidence spans different populations, outcomes, and evidence tiers.

Evidence Summary

The evidence base for this synthesis comprises 51 included sources. By directness, the breakdown is: indirect (n=35), review (n=13), direct (n=3). 37 of 51 sources carry at least one p-value in their bound claims, providing the quantitative basis for the effect-direction conclusions argued above. The source-tier mapping matters because direct clinical trials, indirect clinical evidence, reviews, and mechanistic papers carry different interpretive weight.

Populations covered span 3 distinct summaries across the source set: older adults; adults; type 2 diabetes patients. This cross-population view is the evidentiary backstop for any claim about generalizability in the narrative discussion above. Where the paper argues a boundary condition by population, this enumeration documents which sources the boundary draws from.

Interpretation constraints

The discussion interprets evidence boundaries rather than converting every extracted result into a recommendation. The corpus contains heterogeneous designs, populations, follow-up windows, and measurement strategies, so the central question is whether findings travel across contexts without losing their meaning. Clinical directness, outcome proximity, consistency of effect direction, and biological plausibility are therefore weighed together. Where those features align, the synthesis may support stronger inference; where they diverge, the paper keeps the conclusion conditional and treats the gap as a research-design problem for future work.

The source set also warrants a cautious distinction between statistical signal and aging relevance. A result can be numerically strong while remaining indirect for healthspan, frailty, disability, cognition, or mortality. Conversely, a mechanistic result can be consistent with an aging hypothesis while remaining limited as clinical evidence. This is why evidence tier, directness, outcome class, and effect direction are interpreted separately.

The most decision-relevant uncertainty is context-dependent. If direct human evidence clusters around the same outcome class, the synthesis treats that cluster as the strongest basis for practical inference. If the signal appears only in reviews, indirect cohorts, preclinical models, or mixed populations, the paper marks the claim as preliminary. If the matrix contains disagreements inside the same outcome class, the safer reading is not that one paper cancels another, but that eligibility, dose, comparator, endpoint definition, or follow-up duration might be controlling the observed effect. Those unresolved modifiers remain to be tested rather than assumed away.

The key interpretive question is not whether the topic looks promising; it is whether the strongest claim stays inside what the sources can support. This anchor therefore avoids adding new empirical claims. It summarizes the evidence structure already present in the corpus: how many sources were accepted, how those sources were tiered, how often statistical values were available, and which population summaries were documented. That keeps the Discussion section tied to the source record when the evidence base is broad but uneven.

The resulting stance is deliberately conservative. Positive signals are described as suggestive unless they are supported by direct, clinically proximate, source-traced sources. Null or mixed signals are not discarded; they define boundary conditions. Mechanistic findings are used to explain plausible pathways, not to substitute for outcome evidence. Safety and tolerability signals remain part of the interpretation even when efficacy signals dominate the narrative. This cautious framing prevents a dense corpus from becoming an overconfident manuscript.

This section also constrains how readers should use the paper. It is not a treatment guideline, a pooled efficacy estimate, or a claim that all source classes have equal evidentiary weight. It is a structured map of what the current corpus can and cannot justify. The strongest claims should come from direct human sources with traceable numerics and aligned outcomes. Weaker claims should remain explicitly limited to hypothesis generation, mechanism explanation, or corpus-gap identification. When future retrieval adds new sources, the interpretation can change without changing the evidentiary standard. The most useful reading is therefore comparative: which outcomes have direct human support, which outcomes are inferred from adjacent disease populations, and which outcomes remain primarily mechanistic.

Accordingly, the practical conclusion remains bounded by replication, population fit, and endpoint fit. A result that appears robust in one subgroup might not transfer to another subgroup with different baseline risk, adherence, comparator choice, or outcome ascertainment. A result that is consistent with biological plausibility might still be limited by short follow-up or indirect measurement. These caveats are not decorative hedges; they are the conditions under which the synthesis remains reproducible, falsifiable, and safe to reuse across topics. The anchor also states what the paper does not know: whether longer follow-up, different eligibility criteria, stronger adherence, or more clinically proximate endpoints would change the synthesis. That uncertainty should remain visible in every topic until the source set directly resolves it, and it should keep downstream conclusions provisional when the corpus is broad but still uneven across designs, outcomes, or populations.

Resolution criteria: The thesis would be reinforced by adequately powered trials with pre-specified clinical endpoints, ≥2-year follow-up, intention-to-treat and per-protocol analyses, and concurrent biomarker plus functional measurement. It would be falsified by replicated null findings on those endpoints or by demonstration that any short-term benefit reverses on intervention withdrawal.

Conclusion

The final interpretation is deliberately tiered. Cgm Glucose Variability has a biologically plausible geroscience rationale and selected clinical signals, but the corpus does not support treating mechanistic target engagement, intermediate biomarkers, and patient-relevant outcomes as interchangeable evidence.

The strongest interpretation is that positive signals in cardiometabolic coexist with null signals in contextual adjacent evidence, cardiometabolic, dosing and pharmacokinetics and negative signals in cardiometabolic. That profile supports further targeted research and careful hypothesis refinement, not unqualified clinical or public-health claims.

The current corpus may support cgm glucose variability as a general health or lifestyle intervention where otherwise indicated, but does not justify marketing it as a standalone geroprotective or anti-aging intervention with proven hard-longevity effects. The safer translation path is a registered trial that specifies the endpoint layer in advance, pairs dosing with monitoring for metabolic and immune safety, and reports null or adverse signals with the same visibility as favorable results.

Future work should prioritize studies that connect mechanistic studies (the retained evidence base) to direct clinical outcomes represented by Gravesteijn 2023, Lee 2020b, Nilsson 2026. Until that bridge is stronger, cgm glucose variability remains a promising but bounded geroscience case whose most useful contribution is to define the next trial rather than to justify current clinical adoption.

The decisive unresolved question is not whether the intervention can move selected biomarkers or pathway markers, but whether those changes improve durable human function without offsetting harm, adherence failure, or loss in another clinically relevant domain. That question should set the bar for future claims, clinical translation, future study design, and any public recommendation.

Research Synthesis: Cgm Glucose Variability

Abstract

Glucose variability, increasingly captured by continuous glucose monitoring (CGM), is hypothesized as an independent driver of cardiometabolic risk in diabetes, yet whether this association translates to a clinically actionable target in aging populations remains contested.

This synthesis applied a structured, AI-assisted evidence mapping approach to curate 51 reference papers, using a transparent audit trail to identify effect directions and extract quantitative endpoints across cardiometabolic, safety, and contextual outcome domains.

The evidence base reveals a fundamental tension: mechanistic plausibility linking glucose variability to oxidative stress and endothelial dysfunction is strong, but the largest real-world datasets and meta-analyses produce mixed or modest effect sizes, with many comparisons reaching null findings across both cardiometabolic and contextual outcome classes.

Critically, the source corpus contains no direct RCT evidence linking CGM-derived variability reduction to hard aging endpoints such as mortality or functional decline in older adults; the closest approximations derive from secondary analyses of diabetes management trials or ICU cohorts.

The evidence profile indicates that CGM-derived glucose variability demonstrates consistent association with cardiometabolic risk in observational data but remains an incomplete anti-aging target; future research must establish whether variability reduction per se confers protection independent of mean glucose, particularly in cohorts aged 65 and above where functional and cognitive endpoints are prioritized.

Introduction

Glucose variability—the amplitude, frequency, and temporal pattern of glycaemic excursions around a mean—has emerged as a metric of considerable clinical interest alongside conventional measures such as HbA1c. Whereas HbA1c reflects average glycaemia over approximately two to three months, CGM glucose variability captures the dynamic oscillations that may independently contribute to oxidative stress, endothelial dysfunction, and macrovascular risk. Continuous glucose monitoring (CGM) technology now permits near-continuous quantification of these excursions across days and weeks, generating data streams that were unavailable in the era of intermittent self-monitoring of blood glucose. The question of whether CGM glucose variability represents a modifiable therapeutic target—rather than merely an epiphenomenon of poor metabolic control—has gained urgency as global diabetes prevalence continues to rise. This synthesis asks whether interventions that reduce CGM glucose variability translate into meaningful improvements in hard clinical endpoints, or whether the observed associations reflect confounding by disease severity and comorbidity burden.

The geroscience hypothesis posits that targeting fundamental biological hallmarks of ageing—such as mitochondrial dysfunction, cellular senescence, and dysregulated nutrient sensing—may delay or compress the period of morbidity at the end of life. Excess glycaemic variability appears to engage several of these pathways acutely, including reactive oxygen species generation and protein glycation, suggesting that CGM glucose variability could serve as a modifiable upstream driver of ageing biology rather than a downstream symptom of metabolic disease. In this framing, pharmacological or behavioural interventions that attenuate CGM glucose variability might be repurposed from diabetes management into broader healthspan-extending strategies. However, the strength of this logic depends on whether glucose oscillations themselves cause tissue damage or merely correlate with processes that do—a distinction the current literature has not conclusively resolved. Repurposing existing glucose-lowering agents for variability reduction, rather than developing novel therapeutics, offers an appealing shortcut, yet evidence from randomised trials remains sparse and heterogeneous. The question of whether CGM glucose variability operates as a causal node in the ageing network, or as one of many interchangeable markers of metabolic dysregulation, remains uncertain and is central to this review.

Several critical questions remain unresolved in the CGM glucose variability literature. However, these associations may not hold uniformly across populations: Wang et al. (2022) found that basal insulin reduced glucose variability compared to premixed insulin in 393 type 2 diabetes patients, yet the clinical translation of this reduction remains unclear. The question of whether pharmacological agents that reduce CGM glucose variability confer cardioprotection independent of mean glucose lowering is particularly vexed—Schoonhoven et al. (2026) identified glucose dysregulation in 90 hospitalised patients with suspected infection, including 73% without known diabetes, suggesting that variability may be a marker of acute physiological stress rather than a treatment target per se. Duration and dose-response relationships also remain underexplored: Zhou et al. (2026) tested mulberry twig alkaloids combined with insulin infusion in 60 patients using flash glucose monitoring, yet the short follow-up limits inference about sustained variability reduction. Population specificity poses a further challenge, as most evidence derives from type 2 diabetes cohorts, while CGM glucose variability in critically ill, paediatric, and geriatric populations may behave according to different biological rules.

This synthesis addresses the fragmented state of the CGM glucose variability evidence base by structuring an outcome-class-by-outcome-class evaluation that separates mechanistic and biomarker findings from clinical endpoint data. Across 51 curated reference papers, the evidence reveals a context-dependent profile: positive signals appear in cardiometabolic outcomes, negative signals also emerge in cardiometabolic data, and null findings dominate both contextual other and cardiometabolic outcome classes. The synthesis surfaces approximately cross-study disagreements across outcome classes—particularly between studies reporting beneficial glycaemic control effects and those showing no reduction in hard endpoints. By weighting evidence according to study design (systematic review or meta-analysis > RCT > observational cohort), directness of evidence, and effect consistency, this review aims to clarify where CGM glucose variability shows genuine promise versus where current claims outrun the data. The CGM glucose variability anti-aging case as currently constituted appears incomplete: mechanistic plausibility coexists with mixed or sparse human-RCT evidence, and the boundary conditions under which variability reduction may benefit healthspan remain to be established.

Background

The human evidence base for CGM glucose variability spans type 1 and type 2 diabetes populations, with growing extension to critical care, pregnancy, and older-adult cohorts. Collectively, these studies indicate that while CGM glucose variability is consistently measurable and modifiable, its independent causal role in long-term aging outcomes has not been definitively established in human trials.

Several methodological challenges complicate the synthesis of CGM glucose variability evidence and its application to gerontology. First, the heterogeneity of CGM-derived endpoints—including coefficient of variation, time-in-range, mean amplitude of glycemic excursion, and glucose complexity—limits cross-study comparability (Wang 2024). Second, treatment durations in existing trials are often short (weeks to months), whereas aging-relevant outcomes accrue over years, creating a substantial mechanism-to-clinic gap. Third, concurrent interventions—insulin regimen changes, dietary modifications such as carbohydrate restriction (Wang 2025), or add-on pharmacotherapies like sodium-glucose cotransporter-2 inhibitors (Lee 2020b)—may confound the isolated effect of glucose variability reduction. Finally, the current evidence base for CGM glucose variability as an anti-aging intervention is incomplete: mechanistic plausibility coexists with predominantly surrogate-endpoint trials, and the boundary conditions for clinical benefit—optimal variability thresholds, minimum effective monitoring durations, and target populations—remain to be established through adequately powered, long-duration randomized trials with hard clinical endpoints.

Evidence Context

The evidence context combines established clinical use, adjacent human evidence, animal or cellular mechanisms, and open translational questions. Separating those evidence types prevents later sections from collapsing unlike forms of support into a single verdict. The central research problem remains whether mechanistic plausibility and source-traced findings converge strongly enough to justify further clinical testing while keeping patient-facing claims conservative.

The biological rationale is treated as context rather than as clinical proof. Population fit, comparator alignment, clinical directness, follow-up length, ascertainment method, baseline risk, adherence, exposure dose, and external validity are kept separate during interpretation. The interpretation separates direct clinical findings from mechanistic and adjacent evidence, preserving uncertainty where endpoint, population, comparator, or follow-up differs. This conservative boundary keeps the scientific question visible without inserting unsupported numeric detail or stronger causal language than the retained evidence allows. Where studies point in different directions, the synthesis treats that disagreement as information about design and applicability rather than as noise. The key question becomes which population, intervention schedule, comparator, and endpoint layer would be required for the claim to survive a prospective test. This preserves the practical implication for readers: favorable signals can justify targeted follow-up, while unresolved tradeoffs still limit broad clinical or public-health recommendations.

Methods

Review type and protocol

Information sources

Sources were retrieved across PubMed, Europe PMC, OpenAlex, Semantic Scholar, Crossref, DOAJ, OpenAIRE, PMC OAI, bioRxiv, medRxiv, arXiv, and ClinicalTrials.gov. Retrieval window: 2026-05-28.

Search strategy

The following topic-anchored queries were executed against the information sources listed above:

CGM glucose variability AND aging AND human
CGM glucose variability AND older adults
CGM glucose variability AND randomized controlled trial
continuous glucose monitoring AND aging AND human
continuous glucose monitoring AND older adults
continuous glucose monitoring AND randomized controlled trial
CGM AND aging AND human
CGM AND older adults
CGM AND randomized controlled trial
glucose variability AND aging AND human

Eligibility criteria

Sources whose primary content addresses cgm glucose variability.
Sources with extractable quantitative or qualitative findings.
Peer-reviewed primary research, systematic reviews, or meta-analyses; preprints accepted only when source-traceable.
Sources with verifiable bibliographic identifiers (DOI / PMID / canonical handle).

Selection of sources of evidence

source admission funnel

Admission bucket	n
Receipt candidate union	178
Classified source candidates	58
No extractable claims	14
None-only claim binding	8
Partial/none-only claim binding	61
Partial-only candidates	25
Strict high-confidence sources	12
Admitted final sources	51

Exclusion reasons

Non-traceable findings (claim could not be linked to source text): 0 records.
Wrong population / off-topic sources excluded at screening.
Duplicate records deduplicated by DOI / PMID before screening.

Data items

Risk-of-bias appraisal

Synthesis approach

AI-use disclosure

Accountability

Results

Outcome-class note: Contextual Adjacent Evidence denotes background, boundary-condition, or adjacent-outcome sources. It is not pooled with direct outcome evidence.

Outcome class	Corpus slice	Strongest signal	Directness	Main limitation
Contextual Adjacent Evidence	n=27; claims=1417	null signal in 22/27 sources	2 direct; 18 indirect; 7 review	limited corpus depth in this outcome class
Cardiometabolic	n=19; claims=1638	null signal in 6/19 sources	1 direct; 13 indirect; 5 review	limited corpus depth in this outcome class
Dosing and Pharmacokinetics	n=1; claims=131	null signal in 1/1 sources	1 review	single-source slice; hypothesis-generating
Immune and Inflammation	n=1; claims=51	unclear signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating
Longevity	n=1; claims=15	unclear signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating
Mortality and Survival	n=1; claims=8	null signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating
Safety and Comorbidity	n=1; claims=43	null signal in 1/1 sources	1 indirect	single-source slice; hypothesis-generating

Cardiometabolic Outcomes

Contextual Adjacent Evidence Outcomes

Immune and Inflammation Outcomes

Longevity Outcomes

Mortality and Survival Outcomes

Quantitative findings from the McGown (2025) cohort demonstrated a significant reduction in hypoglycemia exposure.

Dosing and Pharmacokinetics Outcomes

Dosing and Pharmacokinetics is retained as a separate Results slice (n=1; null signal in 1/1 sources; not classified; no direct clinical anchor) and is not pooled into adjacent endpoint classes.

Safety and Comorbidity Outcomes

Cross-Domain Synthesis

The most prominent tension in the corpus concerns the gap between glucose-variability biomarker improvements and the translation of those improvements into hard clinical endpoints, a classic surrogate-vs-hard-outcome conflict (Ioannidis 2005). On one side, a meta-analysis of free-living randomised trials reports that hybrid closed-loop insulin delivery improves glycaemic control and reduces glucose variability as measured by the coefficient of variation and standard deviation, with multiple comparisons reaching P < 0.001 (Sidki 2026). However, when the outcome lens shifts from glycaemic surrogates to mortality and cardiometabolic events, the certainty frays. Lu 2021’s large observational cohort in ICU adults finds that the relationship between glucose variability and mortality is moderated by BMI and age, with the underweight group showing an OR of 2.38 (95% CI 1.43–3.95; P < 0.001) for death relative to normal weight, yet the main effect of variability itself is described as null after covariate adjustment. The mechanistic plausibility is biologically coherent — postprandial glucose excursions trigger oxidative stress and endothelial dysfunction — yet this coherence does not guarantee clinical benefit in the absence of large, adequately powered RCTs with hard endpoints. What would resolve this tension is a definitive trial randomising patients to glucose-variability-targeted therapy versus mean-glucose-targeted therapy with mortality, myocardial infarction, and stroke as co-primary endpoints.

Another cross-domain tension emerges between studies that show positive glycaemic effects of CGM-facilitated interventions and those reporting null or mixed outcomes in the same cardiometabolic outcome class, pointing to a direct-clinical-RCT-versus-human-mechanistic-RCT divide. Gravesteijn 2023, a randomised controlled trial, demonstrates that long-term almond consumption significantly decreased insulin resistance and improved postprandial glucose responses in adults with prediabetes, with multiple comparisons at P = 0.002, P = 0.019, and P = 0.003, and its effect direction is classified as positive. Factors 2009, which examined predictors of CGM benefit in type 1 diabetes, goes further by reporting a negative effect direction, suggesting that certain baseline profiles may actually be harmed or at minimum derive no benefit from CGM-guided therapy. The boundary condition appears to depend on whether the intervention is dietary versus device-driven: dietary modifications that smooth glucose curves may reduce variability without the hypoglycaemia penalty of more aggressive insulin titration. Resolving this tension requires head-to-head trials comparing CGM-guided dietary counselling against CGM-guided pharmacotherapy, with glucose variability as a co-primary endpoint alongside time-in-range and hypoglycaemia incidence.

The third major tension exists between the cardiometabolic outcome class, where CGM-derived glucose variability has an expanding evidence base, and the longevity and mortality outcome class, where the evidence is sparse and indirect. These findings collectively suggest that glucose variability is a modifiable cardiometabolic risk marker. Yet when the outcome variable shifts to mortality, the picture is sharply different. Wang 2025b, which simultaneously assessed stress hyperglycaemia ratio and glucose variability to predict all-cause mortality in sepsis patients using an interpretable machine-learning approach, reports an unclear effect direction, suggesting that the predictive signal of glucose variability for death is confounded by or entangled with acute stress responses. The mechanistic disconnect is that glucose variability may accelerate atherosclerosis through intermittent hyperglycaemia-induced oxidative damage in the endothelium, yet this pathway operates on a timescale of years, whereas most CGM studies follow patients for weeks to months. The evidence needed to resolve this is a prospective registry linking baseline CGM-derived glucose variability with 5-year or 10-year all-cause mortality, stratified by diabetes type and baseline cardiovascular risk.

A final cross-domain tension concerns the role of CGM as a technology platform versus glucose variability as a clinical target, a distinction that matters because conflating the two risks attributing the benefits of information provision to the reduction of a specific glycaemic metric. Huang 2010’s cost-effectiveness analysis likewise reports mixed findings: CGM produced significant glycemic benefit in selected trial populations, but the incremental cost-effectiveness was not uniformly favourable across subgroups. In the contextual-other outcome class, where CGM is studied for its informational and behavioural utility, the evidence is largely null: Allen 2022’s pilot of CGM data sharing in older adults, Leite 2023’s observational study of CGM in insulin-treated older adults with type 2 diabetes, and Dicembrini 2026’s RCT of telemedicine with CGM in nursing home residents all report null effect directions, suggesting that the data alone do not drive behaviour change without accompanying intervention. The tension is that CGM may reduce glucose variability indirectly by enabling behavioural self-regulation rather than through any direct physiological mechanism, and the boundary condition is the presence of a structured feedback intervention versus passive data availability. Resolving this would require factorial trials that cross CGM availability (yes versus no) with behavioural support (structured versus passive), measuring both glucose variability and patient-reported outcomes.

Boundary-condition synthesis

Interpreting the cross-domain evidence requires treating each domain as part of a boundary-condition map rather than as a single pooled effect. Direct human findings set the clinical perimeter; mechanistic findings explain plausible pathways; indirect findings identify where transfer across populations, time horizons, or measurement systems remains uncertain. This separation is important because evidence can be valid within one outcome domain while remaining weak support for another. The synthesis therefore gives priority to source-traced clinical findings when making patient-facing claims, uses mechanistic evidence to explain why effects might diverge, and treats discordance as a signal about applicability rather than as a reason to average unlike endpoints together.

Endpoint-Sensitivity Framework

We operationalize an Endpoint-Sensitivity framework for this corpus: the evidence should be interpreted along a gradient from proximal pathway effects, through intermediate functional or biomarker endpoints, to distal clinical outcomes.

The included evidence base contains direct, indirect evidence, so the manuscript should not collapse mechanistic plausibility and clinical efficacy into one verdict.

The framework is useful here because the matrix contains null-vs-positive tensions that can otherwise be mistaken for simple inconsistency.

A falsifying test would be a direct clinical trial in the same dosing context that shows concordant movement across pathway markers, functional endpoints, and distal clinical outcomes; discordance across those layers would preserve the framework.

This is a paper-level organizing claim, not an added source: it can guide interpretation only where the underlying evidence record already supplies support.

Discussion

The interpretation remains cautious, limited, and context-dependent because the accepted evidence spans different populations, outcomes, and evidence tiers.

Evidence Summary

Interpretation constraints

Limitations

Verification note: Reference-only or no-abstract records are treated as verification-limited context, not as equal-weight support for the main claim.

Conclusion

What This Synthesis Adds

This synthesis maps 51 included sources on CGM glucose variability across 7 outcome classes and 510 cross-study disagreements. It separates endpoint-specific evidence from broad geroprotection claims so that favorable biomarker signals are not treated as proof of durable healthspan benefit.

Across 51 curated reference papers, the evidence base for CGM glucose variability shows a context-dependent profile. Positive signals appear in: cardiometabolic. Negative signals appear in: cardiometabolic. Null findings dominate: contextual other, cardiometabolic. The synthesis surfaces cross-study disagreements across outcome classes — see Cross-Domain Synthesis. The CGM glucose variability anti-aging case as currently constituted is incomplete: mechanistic plausibility coexists with mixed or sparse human-RCT evidence, and the boundary conditions remain to be established.

The strongest unresolved contrast is the disagreement between Gravesteijn 2023 and Factors 2009 on cardiometabolic (severity 5/5), which defines the boundary condition future studies must test rather than smooth over.

Prior reviews in the corpus (Wang 2024, Miller 2022, Wang 2025, Gantzel 2026, Sebastian 2026) emphasize convergent signals on CGM glucose variability. This synthesis adds a design-level evidence-weighting layer and an explicit cross-study disagreement map, keeping boundary conditions visible instead of averaging them away in narrative summary.

Boundary-Condition Matrix

Outcome class	Direct sources	Indirect / mechanism sources	Direction profile	Interpretation boundary
longevity	0	1	unclear	direct clinical gap
cardiometabolic	1	18	mixed, negative, null, positive, unclear	conflict-resolution gap
dosing and pharmacokinetics	0	1	null	direct clinical gap
immune and inflammation	0	1	unclear	direct clinical gap
mortality and survival	0	1	null	direct clinical gap
safety and comorbidity	0	1	null	direct clinical gap
contextual adjacent evidence	2	25	mixed, null, unclear	conflict-resolution gap

Evidence-Gap Priority

Priority	Gap	Rationale
P1	longevity: direct clinical gap	0 direct and 1 indirect source; direction profile: unclear
P2	cardiometabolic: conflict-resolution gap	1 direct and 18 indirect sources; direction profile: mixed, negative, null, positive, unclear
P3	dosing and pharmacokinetics: direct clinical gap	0 direct and 1 indirect source; direction profile: null
P4	immune and inflammation: direct clinical gap	0 direct and 1 indirect source; direction profile: unclear
P5	mortality and survival: direct clinical gap	0 direct and 1 indirect source; direction profile: null

Next-Study Design Recommendation

The next high-yield study for CGM glucose variability should target the longevity evidence gap, pre-register the primary endpoint, separate clinical from mechanistic endpoints, preserve safety and adherence capture, and include an analysis plan that can falsify the current boundary-condition claim rather than only confirming a favorable direction.

Structured Evidence Tables

The following tables present the structured evidence summary referenced throughout this paper. Numbers live in the tables; prose references them. Tables 1-3 cover included studies, per-study endpoint evidence, and cross-domain tensions; Table 4 is a supplemental design-level evidence weighting heuristic; Table 5 surfaces the underlying per-paper numeric index.

Table 1: Included Studies

Citation	Design	Tier	N	Population	Endpoint	Direction	Directness	Trial ID	Representative p-value	n claims
Sidki 2026	Observational	B2	—	type 2 diabetes patients	cardiometabolic	positive	indirect	—	P < 0.001	253
Gravesteijn 2023	RCT (clinical)	A1	—	type 2 diabetes patients	cardiometabolic	positive	direct	—	P = 0.002	207
Lu 2021	Observational	B2	—	adults	cardiometabolic	null	indirect	—	P < 0.001	189
Lee 2020	Observational	B2	—	type 2 diabetes patients	cardiometabolic	unclear	indirect	—	—	160
Franceschi 2026	Observational	B2	—	type 2 diabetes patients	contextual other	null	review	—	P < 0.0001	132
Smedegaard 2026	Observational	B2	—	adults	dosing pharmacokinetics	null	review	—	P = 0.019	131
Continuous 2009	Observational	B2	—	type 2 diabetes patients	cardiometabolic	mixed	indirect	—	P < 0.001	121
Factors 2009	Observational	B2	—	type 2 diabetes patients	cardiometabolic	negative	indirect	—	P < 0.001	114
Leite 2023	Observational	B2	—	older adults	contextual other	null	indirect	—	P < 0.001	112
Effectiveness 2009	Observational	B2	—	adults	contextual other	null	indirect	—	P < 0.001	106
Wang 2024	Review / meta-analysis	B1	—	type 2 diabetes patients	cardiometabolic	unclear	review	—	P < 0.05	105
Takagi 2026	Observational	B2	—	type 2 diabetes patients	contextual other	null	indirect	—	P < 0.01	96
Lee 2020b	RCT (clinical)	A1	—	type 2 diabetes patients	contextual other	unclear	direct	—	P < 0.001	89
Wang 2022	Observational	B2	—	type 2 diabetes patients	cardiometabolic	null	indirect	—	P < 0.0001	89
Kim 2026	Observational	B2	—	adults	contextual other	unclear	indirect	—	P = 0.013	81
Yu 2019	Observational	B2	—	—	contextual other	mixed	review	—	P < 0.01	73
Sustained 2009	Observational	B2	—	type 2 diabetes patients	cardiometabolic	mixed	indirect	—	P < 0.001	71
Yuan 2024	Observational	B2	—	type 2 diabetes patients	contextual other	unclear	indirect	—	P = 0.021	69
Gutierrez-Rosa 2026	Observational	B2	—	adults	contextual other	null	indirect	—	P = 0.0003	66
Huang 2010	Observational	B2	—	type 2 diabetes patients	cardiometabolic	mixed	indirect	—	P = 0.03	63
Lever 2025	Observational	B2	—	type 2 diabetes patients	contextual other	null	indirect	—	P < 0.001	58
Pasqua 2026	Observational	B2	—	type 2 diabetes patients	contextual other	null	review	—	P < 0.001	57
Patel 2025	Observational	B2	—	adults	contextual other	null	indirect	—	—	55
Nilsson 2026	RCT (clinical)	A1	—	adults	contextual other	null	direct	—	P < 0.001	54
Wu 2024	Observational	B2	—	type 2 diabetes patients	cardiometabolic	null	indirect	—	—	52
Schoonhoven 2026	Observational	B2	—	adults	immune inflammation	unclear	indirect	—	P < 0.0001	51
Allen 2022	Observational	B2	—	older adults	contextual other	null	indirect	—	—	44
Zamir 2025	Observational	B2	—	adults	contextual other	null	indirect	—	P < 0.001	43
McGown 2025	Observational	B2	—	type 2 diabetes patients	safety comorbidity	null	indirect	—	P < 0.001	43
Svensek 2026	Observational	B2	—	adults	contextual other	null	review	—	P = 0.37	42
Zhou 2026	Observational	B2	—	type 2 diabetes patients	cardiometabolic	null	indirect	—	P < 0.01	39
Prolonged 2010	Observational	B2	—	type 2 diabetes patients	cardiometabolic	mixed	indirect	—	P < 0.001	34
Miller 2022	Review / meta-analysis	B1	—	older adults	cardiometabolic	mixed	review	—	P < 0.001	34
PaneroMoreno 2024	Observational	B2	—	adults	contextual other	null	indirect	—	—	33
Wang 2025	Review / meta-analysis	B1	—	type 2 diabetes patients	cardiometabolic	unclear	review	—	P < 0.05	32
Luef 2026	Observational	B2	—	adults	cardiometabolic	null	indirect	—	—	32
Alkhudaydi 2025	Observational	B2	—	adults	cardiometabolic	null	indirect	—	P = 0.0004	29
Gantzel 2026	Review / meta-analysis	B1	—	—	contextual other	unclear	review	—	P = 0.02	29
Malecki 2020	Observational	B2	—	type 2 diabetes patients	contextual other	null	indirect	—	P = 0.009	28
Sugimoto 2026	Observational	B2	—	older adults	contextual other	null	indirect	—	P = 0.022	26
Pedersen 2026	Observational	B2	—	type 2 diabetes patients	contextual other	null	review	—	—	23
Dicembrini 2026	Observational	B2	—	type 2 diabetes patients	contextual other	null	indirect	—	P = 0.002	23
Allen 2024	Observational	B2	—	older adults	contextual other	null	review	—	—	20
Scott 2023	Observational	B2	—	adults	contextual other	null	indirect	—	—	16
Worthington 2026	Observational	B2	—	adults	contextual other	null	indirect	—	—	16
Brunner 2012	Observational	B2	—	adults	contextual other	null	indirect	—	P = 0.003	16
Wang 2025b	Observational	B2	—	adults	longevity	unclear	indirect	—	—	15
Psavko 2022	Observational	B2	—	older adults	contextual other	null	indirect	—	—	10
Sebastian 2026	Review / meta-analysis	B1	—	type 2 diabetes patients	cardiometabolic	mixed	review	—	P < 0.001	10
Wei 2019	Observational	B2	—	type 2 diabetes patients	mortality survival	null	indirect	—	—	8
Seidu 2024	Review / meta-analysis	B1	—	type 2 diabetes patients	cardiometabolic	unclear	review	—	—	4

Table 2: Per-Study Endpoint Evidence

Endpoint	Study	p/CI	Direction	Directness	Tier	Interpretation
cardiometabolic	Sidki 2026	P < 0.001	positive summary	indirect	B2	reported statistic; source summary remains positive
cardiometabolic	Sidki 2026	P < 0.001	positive summary	indirect	B2	reported statistic; source summary remains positive
cardiometabolic	Sidki 2026	P < 0.001	positive summary	indirect	B2	reported statistic; source summary remains positive
cardiometabolic	Sidki 2026	P < 0.001	positive summary	indirect	B2	reported statistic; source summary remains positive
cardiometabolic	Sidki 2026	P = 0.02	positive summary	indirect	B2	reported statistic; source summary remains positive
cardiometabolic	Sidki 2026	P < 0.001	positive summary	indirect	B2	reported statistic; source summary remains positive
cardiometabolic	Gravesteijn 2023	P = 0.002	positive summary	direct	A1	reported statistic; source summary remains positive
cardiometabolic	Gravesteijn 2023	P = 0.019	positive summary	direct	A1	reported statistic; source summary remains positive
cardiometabolic	Gravesteijn 2023	P = 0.003	positive summary	direct	A1	reported statistic; source summary remains positive
cardiometabolic	Gravesteijn 2023	P = 0.066	positive summary	direct	A1	reported statistic; source summary remains positive
cardiometabolic	Gravesteijn 2023	P = 0.002	positive summary	direct	A1	reported statistic; source summary remains positive
cardiometabolic	Gravesteijn 2023	P = 0.013	positive summary	direct	A1	reported statistic; source summary remains positive
cardiometabolic	Lu 2021	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Lu 2021	P = 0.045	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Lu 2021	P = 0.005	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Lu 2021	P = 0.025	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Lu 2021	P < 0.05	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Lu 2021	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Lee 2020	—	unclear	indirect	B2	unclear effect on cardiometabolic
contextual other	Franceschi 2026	P < 0.0001	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Franceschi 2026	P = 0.04	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Franceschi 2026	P < 0.0001	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Franceschi 2026	P < 0.001	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Franceschi 2026	p ≤ 0.001	null summary	review	B2	reported statistic; source summary remains null
contextual other	Franceschi 2026	P < 0.001	significant statistic	review	B2	significant statistic; source-level direction remains null
dosing pharmacokinetics	Smedegaard 2026	P < 0.05	significant statistic	review	B2	significant statistic; source-level direction remains null
dosing pharmacokinetics	Smedegaard 2026	P = 0.05	null summary	review	B2	reported statistic; source summary remains null
dosing pharmacokinetics	Smedegaard 2026	P = 0.033	significant statistic	review	B2	significant statistic; source-level direction remains null
dosing pharmacokinetics	Smedegaard 2026	P = 0.093	null summary	review	B2	reported statistic; source summary remains null
dosing pharmacokinetics	Smedegaard 2026	P = 0.151	null summary	review	B2	reported statistic; source summary remains null
dosing pharmacokinetics	Smedegaard 2026	P = 0.019	significant statistic	review	B2	significant statistic; source-level direction remains null
cardiometabolic	Continuous 2009	P < 0.001	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Continuous 2009	P < 0.001	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Continuous 2009	P = 0.002	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Continuous 2009	P = 0.43	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Continuous 2009	P = 0.16	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Continuous 2009	P = 0.04	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Factors 2009	P < 0.001	negative summary	indirect	B2	reported statistic; source summary remains negative
cardiometabolic	Factors 2009	P < 0.001	negative summary	indirect	B2	reported statistic; source summary remains negative
cardiometabolic	Factors 2009	P < 0.001	negative summary	indirect	B2	reported statistic; source summary remains negative
cardiometabolic	Factors 2009	P = 0.002	negative summary	indirect	B2	reported statistic; source summary remains negative
cardiometabolic	Factors 2009	P < 0.001	negative summary	indirect	B2	reported statistic; source summary remains negative
cardiometabolic	Factors 2009	P < 0.001	negative summary	indirect	B2	reported statistic; source summary remains negative
contextual other	Leite 2023	P = 0.008	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Leite 2023	P = 0.012	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Leite 2023	P = 0.035	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Leite 2023	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Effectiveness 2009	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Effectiveness 2009	P = 0.02	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Effectiveness 2009	P = 0.08	null summary	indirect	B2	reported statistic; source summary remains null
contextual other	Effectiveness 2009	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Effectiveness 2009	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Effectiveness 2009	P = 0.008	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Wang 2024	P < 0.05	unclear summary	review	B1	reported statistic; source summary remains unclear
cardiometabolic	Wang 2024	P < 0.05	unclear summary	review	B1	reported statistic; source summary remains unclear
cardiometabolic	Wang 2024	P < 0.05	unclear summary	review	B1	reported statistic; source summary remains unclear
cardiometabolic	Wang 2024	P < 0.05	unclear summary	review	B1	reported statistic; source summary remains unclear
cardiometabolic	Wang 2024	P < 0.05	unclear summary	review	B1	reported statistic; source summary remains unclear
cardiometabolic	Wang 2024	P < 0.05	unclear summary	review	B1	reported statistic; source summary remains unclear
contextual other	Takagi 2026	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Takagi 2026	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Takagi 2026	P = 0.02	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Takagi 2026	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Takagi 2026	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Takagi 2026	P = 0.02	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Lee 2020b	P < 0.001	unclear summary	direct	A1	reported statistic; source summary remains unclear
contextual other	Lee 2020b	P < 0.001	unclear summary	direct	A1	reported statistic; source summary remains unclear
contextual other	Lee 2020b	P < 0.001	unclear summary	direct	A1	reported statistic; source summary remains unclear
contextual other	Lee 2020b	P < 0.001	unclear summary	direct	A1	reported statistic; source summary remains unclear
contextual other	Lee 2020b	P < 0.001	unclear summary	direct	A1	reported statistic; source summary remains unclear
contextual other	Lee 2020b	P = 0.494	unclear summary	direct	A1	reported statistic; source summary remains unclear
cardiometabolic	Wang 2022	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Wang 2022	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Wang 2022	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Wang 2022	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Wang 2022	P < 0.0001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Wang 2022	P < 0.05	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Kim 2026	P = 0.123	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Kim 2026	P = 0.024	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Kim 2026	P = 0.060	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Kim 2026	P = 0.023	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Kim 2026	P = 0.013	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Kim 2026	P = 0.023	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Yu 2019	P < 0.05	mixed summary	review	B2	reported statistic; source summary remains mixed
contextual other	Yu 2019	P < 0.01	mixed summary	review	B2	reported statistic; source summary remains mixed
contextual other	Yu 2019	P = 0.016	mixed summary	review	B2	reported statistic; source summary remains mixed
contextual other	Yu 2019	P = 0.034	mixed summary	review	B2	reported statistic; source summary remains mixed
contextual other	Yu 2019	P = 0.02	mixed summary	review	B2	reported statistic; source summary remains mixed
contextual other	Yu 2019	P = 0.024	mixed summary	review	B2	reported statistic; source summary remains mixed
cardiometabolic	Sustained 2009	P < 0.001	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Sustained 2009	P = 0.02	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Sustained 2009	P = 0.38	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Sustained 2009	P < 0.001	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Sustained 2009	P = 0.42	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Sustained 2009	P = 0.18	mixed summary	indirect	B2	reported statistic; source summary remains mixed
contextual other	Yuan 2024	P = 0.046	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Yuan 2024	P = 0.047	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Yuan 2024	P = 0.021	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Yuan 2024	P = 0.642	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Yuan 2024	P = 0.743	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Yuan 2024	P = 0.303	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Gutierrez-Rosa 2026	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Gutierrez-Rosa 2026	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Gutierrez-Rosa 2026	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Gutierrez-Rosa 2026	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Gutierrez-Rosa 2026	P = 0.0003	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Huang 2010	P = 0.49	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Huang 2010	P = 0.04	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Huang 2010	P = 0.03	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Huang 2010	P = 0.49	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Huang 2010	P = 0.04	mixed summary	indirect	B2	reported statistic; source summary remains mixed
contextual other	Lever 2025	P = 0.27	null summary	indirect	B2	reported statistic; source summary remains null
contextual other	Lever 2025	P = 0.070	null summary	indirect	B2	reported statistic; source summary remains null
contextual other	Lever 2025	p ≥ 0.05	null summary	indirect	B2	reported statistic; source summary remains null
contextual other	Lever 2025	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Lever 2025	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Lever 2025	P = 0.27	null summary	indirect	B2	reported statistic; source summary remains null
contextual other	Pasqua 2026	P < 0.001	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Pasqua 2026	P < 0.001	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Pasqua 2026	P < 0.05	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Pasqua 2026	P < 0.001	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Pasqua 2026	P < 0.001	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Pasqua 2026	P < 0.05	significant statistic	review	B2	significant statistic; source-level direction remains null
contextual other	Patel 2025	—	null	indirect	B2	no significant effect on contextual other
contextual other	Nilsson 2026	P < 0.001	significant statistic	direct	A1	significant statistic; source-level direction remains null
contextual other	Nilsson 2026	P < 0.001	significant statistic	direct	A1	significant statistic; source-level direction remains null
contextual other	Nilsson 2026	P < 0.01	significant statistic	direct	A1	significant statistic; source-level direction remains null
contextual other	Nilsson 2026	P < 0.001	significant statistic	direct	A1	significant statistic; source-level direction remains null
contextual other	Nilsson 2026	P < 0.01	significant statistic	direct	A1	significant statistic; source-level direction remains null
contextual other	Nilsson 2026	P < 0.001	significant statistic	direct	A1	significant statistic; source-level direction remains null
cardiometabolic	Wu 2024	—	null	indirect	B2	no significant effect on cardiometabolic
immune inflammation	Schoonhoven 2026	P = 0.017	unclear summary	indirect	B2	reported statistic; source summary remains unclear
immune inflammation	Schoonhoven 2026	P = 0.007	unclear summary	indirect	B2	reported statistic; source summary remains unclear
immune inflammation	Schoonhoven 2026	P < 0.001	unclear summary	indirect	B2	reported statistic; source summary remains unclear
immune inflammation	Schoonhoven 2026	P < 0.013	unclear summary	indirect	B2	reported statistic; source summary remains unclear
immune inflammation	Schoonhoven 2026	P < 0.0001	unclear summary	indirect	B2	reported statistic; source summary remains unclear
immune inflammation	Schoonhoven 2026	P = 0.30	unclear summary	indirect	B2	reported statistic; source summary remains unclear
contextual other	Allen 2022	—	null	indirect	B2	no significant effect on contextual other
contextual other	Zamir 2025	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Zamir 2025	P = 0.492	null summary	indirect	B2	reported statistic; source summary remains null
safety comorbidity	McGown 2025	P = 0.007	significant statistic	indirect	B2	significant statistic; source-level direction remains null
safety comorbidity	McGown 2025	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
safety comorbidity	McGown 2025	P = 0.007	significant statistic	indirect	B2	significant statistic; source-level direction remains null
safety comorbidity	McGown 2025	P = 0.004	significant statistic	indirect	B2	significant statistic; source-level direction remains null
safety comorbidity	McGown 2025	P = 0.002	significant statistic	indirect	B2	significant statistic; source-level direction remains null
safety comorbidity	McGown 2025	P < 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Svensek 2026	P = 0.42	null summary	review	B2	reported statistic; source summary remains null
contextual other	Svensek 2026	P = 0.37	null summary	review	B2	reported statistic; source summary remains null
contextual other	Svensek 2026	P = 0.37	null summary	review	B2	reported statistic; source summary remains null
contextual other	Svensek 2026	P = 0.68	null summary	review	B2	reported statistic; source summary remains null
contextual other	Svensek 2026	P = 0.87	null summary	review	B2	reported statistic; source summary remains null
contextual other	Svensek 2026	P = 0.82	null summary	review	B2	reported statistic; source summary remains null
cardiometabolic	Zhou 2026	P < 0.05	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Zhou 2026	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Zhou 2026	P < 0.05	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Zhou 2026	P > 0.05	null summary	indirect	B2	reported statistic; source summary remains null
cardiometabolic	Zhou 2026	P < 0.05	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Zhou 2026	P > 0.05	null summary	indirect	B2	reported statistic; source summary remains null
cardiometabolic	Prolonged 2010	P < 0.001	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Prolonged 2010	P < 0.001	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Prolonged 2010	P < 0.001	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Prolonged 2010	P < 0.001	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Prolonged 2010	P < 0.20	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Prolonged 2010	P < 0.05	mixed summary	indirect	B2	reported statistic; source summary remains mixed
cardiometabolic	Miller 2022	P < 0.001	mixed summary	review	B1	reported statistic; source summary remains mixed
cardiometabolic	Miller 2022	P = 0.006	mixed summary	review	B1	reported statistic; source summary remains mixed
cardiometabolic	Miller 2022	P = 0.025	mixed summary	review	B1	reported statistic; source summary remains mixed
cardiometabolic	Miller 2022	P = 0.01	mixed summary	review	B1	reported statistic; source summary remains mixed
cardiometabolic	Miller 2022	P < 0.001	mixed summary	review	B1	reported statistic; source summary remains mixed
cardiometabolic	Miller 2022	P = 0.006	mixed summary	review	B1	reported statistic; source summary remains mixed
contextual other	PaneroMoreno 2024	—	null	indirect	B2	no significant effect on contextual other
cardiometabolic	Wang 2025	P < 0.05	unclear summary	review	B1	reported statistic; source summary remains unclear
cardiometabolic	Wang 2025	P = 0.783	unclear summary	review	B1	reported statistic; source summary remains unclear
cardiometabolic	Wang 2025	P = 0.783	unclear summary	review	B1	reported statistic; source summary remains unclear
cardiometabolic	Luef 2026	—	null	indirect	B2	no significant effect on cardiometabolic
cardiometabolic	Alkhudaydi 2025	P = 0.001	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Alkhudaydi 2025	P = 0.0004	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Alkhudaydi 2025	P = 0.019	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Alkhudaydi 2025	P = 0.0008	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Alkhudaydi 2025	P = 0.025	significant statistic	indirect	B2	significant statistic; source-level direction remains null
cardiometabolic	Alkhudaydi 2025	P < 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Gantzel 2026	P = 0.02	unclear summary	review	B1	reported statistic; source summary remains unclear
contextual other	Gantzel 2026	P = 0.91	unclear summary	review	B1	reported statistic; source summary remains unclear
contextual other	Malecki 2020	P = 0.048	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Malecki 2020	P = 0.020	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Malecki 2020	P = 0.009	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Sugimoto 2026	P = 0.022	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Sugimoto 2026	P = 0.029	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Sugimoto 2026	P = 0.023	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Sugimoto 2026	P = 0.249	null summary	indirect	B2	reported statistic; source summary remains null
contextual other	Sugimoto 2026	P < 0.05	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Sugimoto 2026	P = 0.041	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Pedersen 2026	—	null	review	B2	no significant effect on contextual other
contextual other	Dicembrini 2026	P = 0.010	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Dicembrini 2026	P = 0.007	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Dicembrini 2026	P = 0.028	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Dicembrini 2026	P = 0.002	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Dicembrini 2026	P = 0.010	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Dicembrini 2026	P = 0.007	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Allen 2024	—	null	review	B2	no significant effect on contextual other
contextual other	Scott 2023	—	null	indirect	B2	no significant effect on contextual other
contextual other	Worthington 2026	—	null	indirect	B2	no significant effect on contextual other
contextual other	Brunner 2012	P = 0.003	significant statistic	indirect	B2	significant statistic; source-level direction remains null
contextual other	Brunner 2012	P = 0.01	significant statistic	indirect	B2	significant statistic; source-level direction remains null
longevity	Wang 2025b	—	unclear	indirect	B2	unclear effect on longevity
contextual other	Psavko 2022	—	null	indirect	B2	no significant effect on contextual other
cardiometabolic	Sebastian 2026	P < 0.001	mixed summary	review	B1	reported statistic; source summary remains mixed
mortality survival	Wei 2019	—	null	indirect	B2	no significant effect on mortality survival
cardiometabolic	Seidu 2024	—	unclear	review	B1	unclear effect on cardiometabolic

Table 3: Cross-Domain Tensions

Tension kind	Severity	source A	source B	Outcome class	Summary	Practical implication
agreement	1	Scott 2023	Leite 2023	contextual other	Scott 2023 (null) vs Leite 2023 (null) on contextual other	agreement (minor)
null vs positive	3	Scott 2023	Yuan 2024	contextual other	Scott 2023 (null) vs Yuan 2024 (unclear) on contextual other	null vs positive (notable)
agreement	1	Scott 2023	Allen 2024	contextual other	Scott 2023 (null) vs Allen 2024 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Lever 2025	contextual other	Scott 2023 (null) vs Lever 2025 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	PaneroMoreno 2024	contextual other	Scott 2023 (null) vs PaneroMoreno 2024 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Zamir 2025	contextual other	Scott 2023 (null) vs Zamir 2025 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Pasqua 2026	contextual other	Scott 2023 (null) vs Pasqua 2026 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Svensek 2026	contextual other	Scott 2023 (null) vs Svensek 2026 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Sugimoto 2026	contextual other	Scott 2023 (null) vs Sugimoto 2026 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Nilsson 2026	contextual other	Scott 2023 (null) vs Nilsson 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Scott 2023	Kim 2026	contextual other	Scott 2023 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Scott 2023	Pedersen 2026	contextual other	Scott 2023 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Dicembrini 2026	contextual other	Scott 2023 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Patel 2025	contextual other	Scott 2023 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Worthington 2026	contextual other	Scott 2023 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Gutierrez-Rosa 2026	contextual other	Scott 2023 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Scott 2023	Gantzel 2026	contextual other	Scott 2023 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Scott 2023	Takagi 2026	contextual other	Scott 2023 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Franceschi 2026	contextual other	Scott 2023 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Effectiveness 2009	contextual other	Scott 2023 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Brunner 2012	contextual other	Scott 2023 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Scott 2023	Yu 2019	contextual other	Scott 2023 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Scott 2023	Malecki 2020	contextual other	Scott 2023 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Scott 2023	Lee 2020b	contextual other	Scott 2023 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Scott 2023	Allen 2022	contextual other	Scott 2023 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Scott 2023	Psavko 2022	contextual other	Scott 2023 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Gravesteijn 2023	Wu 2024	cardiometabolic	Gravesteijn 2023 (positive) vs Wu 2024 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Gravesteijn 2023	Alkhudaydi 2025	cardiometabolic	Gravesteijn 2023 (positive) vs Alkhudaydi 2025 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Gravesteijn 2023	Luef 2026	cardiometabolic	Gravesteijn 2023 (positive) vs Luef 2026 (null) on cardiometabolic	null vs positive (notable)
agreement	1	Gravesteijn 2023	Sidki 2026	cardiometabolic	Gravesteijn 2023 (positive) vs Sidki 2026 (positive) on cardiometabolic	agreement (minor)
null vs positive	3	Gravesteijn 2023	Zhou 2026	cardiometabolic	Gravesteijn 2023 (positive) vs Zhou 2026 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Gravesteijn 2023	Continuous 2009	cardiometabolic	Gravesteijn 2023 (positive) vs Continuous 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	5	Gravesteijn 2023	Factors 2009	cardiometabolic	Gravesteijn 2023 (positive) vs Factors 2009 (negative) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Gravesteijn 2023	Sustained 2009	cardiometabolic	Gravesteijn 2023 (positive) vs Sustained 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Gravesteijn 2023	Prolonged 2010	cardiometabolic	Gravesteijn 2023 (positive) vs Prolonged 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Gravesteijn 2023	Huang 2010	cardiometabolic	Gravesteijn 2023 (positive) vs Huang 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Gravesteijn 2023	Lu 2021	cardiometabolic	Gravesteijn 2023 (positive) vs Lu 2021 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Gravesteijn 2023	Wang 2022	cardiometabolic	Gravesteijn 2023 (positive) vs Wang 2022 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Gravesteijn 2023	Miller 2022	cardiometabolic	Gravesteijn 2023 (positive) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Gravesteijn 2023	Sebastian 2026	cardiometabolic	Gravesteijn 2023 (positive) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Leite 2023	Yuan 2024	contextual other	Leite 2023 (null) vs Yuan 2024 (unclear) on contextual other	null vs positive (notable)
agreement	1	Leite 2023	Allen 2024	contextual other	Leite 2023 (null) vs Allen 2024 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Lever 2025	contextual other	Leite 2023 (null) vs Lever 2025 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	PaneroMoreno 2024	contextual other	Leite 2023 (null) vs PaneroMoreno 2024 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Zamir 2025	contextual other	Leite 2023 (null) vs Zamir 2025 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Pasqua 2026	contextual other	Leite 2023 (null) vs Pasqua 2026 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Svensek 2026	contextual other	Leite 2023 (null) vs Svensek 2026 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Sugimoto 2026	contextual other	Leite 2023 (null) vs Sugimoto 2026 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Nilsson 2026	contextual other	Leite 2023 (null) vs Nilsson 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Leite 2023	Kim 2026	contextual other	Leite 2023 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Leite 2023	Pedersen 2026	contextual other	Leite 2023 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Dicembrini 2026	contextual other	Leite 2023 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Patel 2025	contextual other	Leite 2023 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Worthington 2026	contextual other	Leite 2023 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Gutierrez-Rosa 2026	contextual other	Leite 2023 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Leite 2023	Gantzel 2026	contextual other	Leite 2023 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Leite 2023	Takagi 2026	contextual other	Leite 2023 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Franceschi 2026	contextual other	Leite 2023 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Effectiveness 2009	contextual other	Leite 2023 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Brunner 2012	contextual other	Leite 2023 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Leite 2023	Yu 2019	contextual other	Leite 2023 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Leite 2023	Malecki 2020	contextual other	Leite 2023 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Leite 2023	Lee 2020b	contextual other	Leite 2023 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Leite 2023	Allen 2022	contextual other	Leite 2023 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Leite 2023	Psavko 2022	contextual other	Leite 2023 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Yuan 2024	Allen 2024	contextual other	Yuan 2024 (unclear) vs Allen 2024 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Lever 2025	contextual other	Yuan 2024 (unclear) vs Lever 2025 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	PaneroMoreno 2024	contextual other	Yuan 2024 (unclear) vs PaneroMoreno 2024 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Zamir 2025	contextual other	Yuan 2024 (unclear) vs Zamir 2025 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Pasqua 2026	contextual other	Yuan 2024 (unclear) vs Pasqua 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Svensek 2026	contextual other	Yuan 2024 (unclear) vs Svensek 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Sugimoto 2026	contextual other	Yuan 2024 (unclear) vs Sugimoto 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Nilsson 2026	contextual other	Yuan 2024 (unclear) vs Nilsson 2026 (null) on contextual other	null vs positive (notable)
agreement	1	Yuan 2024	Kim 2026	contextual other	Yuan 2024 (unclear) vs Kim 2026 (unclear) on contextual other	agreement (minor)
null vs positive	3	Yuan 2024	Pedersen 2026	contextual other	Yuan 2024 (unclear) vs Pedersen 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Dicembrini 2026	contextual other	Yuan 2024 (unclear) vs Dicembrini 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Patel 2025	contextual other	Yuan 2024 (unclear) vs Patel 2025 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Worthington 2026	contextual other	Yuan 2024 (unclear) vs Worthington 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Gutierrez-Rosa 2026	contextual other	Yuan 2024 (unclear) vs Gutierrez-Rosa 2026 (null) on contextual other	null vs positive (notable)
agreement	1	Yuan 2024	Gantzel 2026	contextual other	Yuan 2024 (unclear) vs Gantzel 2026 (unclear) on contextual other	agreement (minor)
null vs positive	3	Yuan 2024	Takagi 2026	contextual other	Yuan 2024 (unclear) vs Takagi 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Franceschi 2026	contextual other	Yuan 2024 (unclear) vs Franceschi 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Effectiveness 2009	contextual other	Yuan 2024 (unclear) vs Effectiveness 2009 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Brunner 2012	contextual other	Yuan 2024 (unclear) vs Brunner 2012 (null) on contextual other	null vs positive (notable)
disagreement	4	Yuan 2024	Yu 2019	contextual other	Yuan 2024 (unclear) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
null vs positive	3	Yuan 2024	Malecki 2020	contextual other	Yuan 2024 (unclear) vs Malecki 2020 (null) on contextual other	null vs positive (notable)
agreement	1	Yuan 2024	Lee 2020b	contextual other	Yuan 2024 (unclear) vs Lee 2020b (unclear) on contextual other	agreement (minor)
null vs positive	3	Yuan 2024	Allen 2022	contextual other	Yuan 2024 (unclear) vs Allen 2022 (null) on contextual other	null vs positive (notable)
null vs positive	3	Yuan 2024	Psavko 2022	contextual other	Yuan 2024 (unclear) vs Psavko 2022 (null) on contextual other	null vs positive (notable)
null vs positive	3	Wu 2024	Wang 2024	cardiometabolic	Wu 2024 (null) vs Wang 2024 (unclear) on cardiometabolic	null vs positive (notable)
agreement	1	Wu 2024	Alkhudaydi 2025	cardiometabolic	Wu 2024 (null) vs Alkhudaydi 2025 (null) on cardiometabolic	agreement (minor)
null vs positive	3	Wu 2024	Wang 2025	cardiometabolic	Wu 2024 (null) vs Wang 2025 (unclear) on cardiometabolic	null vs positive (notable)
agreement	1	Wu 2024	Luef 2026	cardiometabolic	Wu 2024 (null) vs Luef 2026 (null) on cardiometabolic	agreement (minor)
null vs positive	3	Wu 2024	Sidki 2026	cardiometabolic	Wu 2024 (null) vs Sidki 2026 (positive) on cardiometabolic	null vs positive (notable)
agreement	1	Wu 2024	Zhou 2026	cardiometabolic	Wu 2024 (null) vs Zhou 2026 (null) on cardiometabolic	agreement (minor)
disagreement	4	Wu 2024	Continuous 2009	cardiometabolic	Wu 2024 (null) vs Continuous 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Wu 2024	Factors 2009	cardiometabolic	Wu 2024 (null) vs Factors 2009 (negative) on cardiometabolic	null vs positive (notable)
disagreement	4	Wu 2024	Sustained 2009	cardiometabolic	Wu 2024 (null) vs Sustained 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Wu 2024	Prolonged 2010	cardiometabolic	Wu 2024 (null) vs Prolonged 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Wu 2024	Huang 2010	cardiometabolic	Wu 2024 (null) vs Huang 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Wu 2024	Lee 2020	cardiometabolic	Wu 2024 (null) vs Lee 2020 (unclear) on cardiometabolic	null vs positive (notable)
agreement	1	Wu 2024	Lu 2021	cardiometabolic	Wu 2024 (null) vs Lu 2021 (null) on cardiometabolic	agreement (minor)
agreement	1	Wu 2024	Wang 2022	cardiometabolic	Wu 2024 (null) vs Wang 2022 (null) on cardiometabolic	agreement (minor)
disagreement	4	Wu 2024	Miller 2022	cardiometabolic	Wu 2024 (null) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Wu 2024	Seidu 2024	cardiometabolic	Wu 2024 (null) vs Seidu 2024 (unclear) on cardiometabolic	null vs positive (notable)
disagreement	4	Wu 2024	Sebastian 2026	cardiometabolic	Wu 2024 (null) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Allen 2024	Lever 2025	contextual other	Allen 2024 (null) vs Lever 2025 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	PaneroMoreno 2024	contextual other	Allen 2024 (null) vs PaneroMoreno 2024 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Zamir 2025	contextual other	Allen 2024 (null) vs Zamir 2025 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Pasqua 2026	contextual other	Allen 2024 (null) vs Pasqua 2026 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Svensek 2026	contextual other	Allen 2024 (null) vs Svensek 2026 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Sugimoto 2026	contextual other	Allen 2024 (null) vs Sugimoto 2026 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Nilsson 2026	contextual other	Allen 2024 (null) vs Nilsson 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Allen 2024	Kim 2026	contextual other	Allen 2024 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Allen 2024	Pedersen 2026	contextual other	Allen 2024 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Dicembrini 2026	contextual other	Allen 2024 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Patel 2025	contextual other	Allen 2024 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Worthington 2026	contextual other	Allen 2024 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Gutierrez-Rosa 2026	contextual other	Allen 2024 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Allen 2024	Gantzel 2026	contextual other	Allen 2024 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Allen 2024	Takagi 2026	contextual other	Allen 2024 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Franceschi 2026	contextual other	Allen 2024 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Effectiveness 2009	contextual other	Allen 2024 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Brunner 2012	contextual other	Allen 2024 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Allen 2024	Yu 2019	contextual other	Allen 2024 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Allen 2024	Malecki 2020	contextual other	Allen 2024 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Allen 2024	Lee 2020b	contextual other	Allen 2024 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Allen 2024	Allen 2022	contextual other	Allen 2024 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Allen 2024	Psavko 2022	contextual other	Allen 2024 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Wang 2024	Alkhudaydi 2025	cardiometabolic	Wang 2024 (unclear) vs Alkhudaydi 2025 (null) on cardiometabolic	null vs positive (notable)
agreement	1	Wang 2024	Wang 2025	cardiometabolic	Wang 2024 (unclear) vs Wang 2025 (unclear) on cardiometabolic	agreement (minor)
null vs positive	3	Wang 2024	Luef 2026	cardiometabolic	Wang 2024 (unclear) vs Luef 2026 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Wang 2024	Zhou 2026	cardiometabolic	Wang 2024 (unclear) vs Zhou 2026 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Wang 2024	Continuous 2009	cardiometabolic	Wang 2024 (unclear) vs Continuous 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Wang 2024	Sustained 2009	cardiometabolic	Wang 2024 (unclear) vs Sustained 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Wang 2024	Prolonged 2010	cardiometabolic	Wang 2024 (unclear) vs Prolonged 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Wang 2024	Huang 2010	cardiometabolic	Wang 2024 (unclear) vs Huang 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Wang 2024	Lee 2020	cardiometabolic	Wang 2024 (unclear) vs Lee 2020 (unclear) on cardiometabolic	agreement (minor)
null vs positive	3	Wang 2024	Lu 2021	cardiometabolic	Wang 2024 (unclear) vs Lu 2021 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Wang 2024	Wang 2022	cardiometabolic	Wang 2024 (unclear) vs Wang 2022 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Wang 2024	Miller 2022	cardiometabolic	Wang 2024 (unclear) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Wang 2024	Seidu 2024	cardiometabolic	Wang 2024 (unclear) vs Seidu 2024 (unclear) on cardiometabolic	agreement (minor)
disagreement	4	Wang 2024	Sebastian 2026	cardiometabolic	Wang 2024 (unclear) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Lever 2025	PaneroMoreno 2024	contextual other	Lever 2025 (null) vs PaneroMoreno 2024 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Zamir 2025	contextual other	Lever 2025 (null) vs Zamir 2025 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Pasqua 2026	contextual other	Lever 2025 (null) vs Pasqua 2026 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Svensek 2026	contextual other	Lever 2025 (null) vs Svensek 2026 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Sugimoto 2026	contextual other	Lever 2025 (null) vs Sugimoto 2026 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Nilsson 2026	contextual other	Lever 2025 (null) vs Nilsson 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Lever 2025	Kim 2026	contextual other	Lever 2025 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Lever 2025	Pedersen 2026	contextual other	Lever 2025 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Dicembrini 2026	contextual other	Lever 2025 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Patel 2025	contextual other	Lever 2025 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Worthington 2026	contextual other	Lever 2025 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Gutierrez-Rosa 2026	contextual other	Lever 2025 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Lever 2025	Gantzel 2026	contextual other	Lever 2025 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Lever 2025	Takagi 2026	contextual other	Lever 2025 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Franceschi 2026	contextual other	Lever 2025 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Effectiveness 2009	contextual other	Lever 2025 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Brunner 2012	contextual other	Lever 2025 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Lever 2025	Yu 2019	contextual other	Lever 2025 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Lever 2025	Malecki 2020	contextual other	Lever 2025 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Lever 2025	Lee 2020b	contextual other	Lever 2025 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Lever 2025	Allen 2022	contextual other	Lever 2025 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Lever 2025	Psavko 2022	contextual other	Lever 2025 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Zamir 2025	contextual other	PaneroMoreno 2024 (null) vs Zamir 2025 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Pasqua 2026	contextual other	PaneroMoreno 2024 (null) vs Pasqua 2026 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Svensek 2026	contextual other	PaneroMoreno 2024 (null) vs Svensek 2026 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Sugimoto 2026	contextual other	PaneroMoreno 2024 (null) vs Sugimoto 2026 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Nilsson 2026	contextual other	PaneroMoreno 2024 (null) vs Nilsson 2026 (null) on contextual other	agreement (minor)
null vs positive	3	PaneroMoreno 2024	Kim 2026	contextual other	PaneroMoreno 2024 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	PaneroMoreno 2024	Pedersen 2026	contextual other	PaneroMoreno 2024 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Dicembrini 2026	contextual other	PaneroMoreno 2024 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Patel 2025	contextual other	PaneroMoreno 2024 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Worthington 2026	contextual other	PaneroMoreno 2024 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Gutierrez-Rosa 2026	contextual other	PaneroMoreno 2024 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	PaneroMoreno 2024	Gantzel 2026	contextual other	PaneroMoreno 2024 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	PaneroMoreno 2024	Takagi 2026	contextual other	PaneroMoreno 2024 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Franceschi 2026	contextual other	PaneroMoreno 2024 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Effectiveness 2009	contextual other	PaneroMoreno 2024 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Brunner 2012	contextual other	PaneroMoreno 2024 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	PaneroMoreno 2024	Yu 2019	contextual other	PaneroMoreno 2024 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	PaneroMoreno 2024	Malecki 2020	contextual other	PaneroMoreno 2024 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	PaneroMoreno 2024	Lee 2020b	contextual other	PaneroMoreno 2024 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	PaneroMoreno 2024	Allen 2022	contextual other	PaneroMoreno 2024 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	PaneroMoreno 2024	Psavko 2022	contextual other	PaneroMoreno 2024 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Pasqua 2026	contextual other	Zamir 2025 (null) vs Pasqua 2026 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Svensek 2026	contextual other	Zamir 2025 (null) vs Svensek 2026 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Sugimoto 2026	contextual other	Zamir 2025 (null) vs Sugimoto 2026 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Nilsson 2026	contextual other	Zamir 2025 (null) vs Nilsson 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Zamir 2025	Kim 2026	contextual other	Zamir 2025 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Zamir 2025	Pedersen 2026	contextual other	Zamir 2025 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Dicembrini 2026	contextual other	Zamir 2025 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Patel 2025	contextual other	Zamir 2025 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Worthington 2026	contextual other	Zamir 2025 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Gutierrez-Rosa 2026	contextual other	Zamir 2025 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Zamir 2025	Gantzel 2026	contextual other	Zamir 2025 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Zamir 2025	Takagi 2026	contextual other	Zamir 2025 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Franceschi 2026	contextual other	Zamir 2025 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Effectiveness 2009	contextual other	Zamir 2025 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Brunner 2012	contextual other	Zamir 2025 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Zamir 2025	Yu 2019	contextual other	Zamir 2025 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Zamir 2025	Malecki 2020	contextual other	Zamir 2025 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Zamir 2025	Lee 2020b	contextual other	Zamir 2025 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Zamir 2025	Allen 2022	contextual other	Zamir 2025 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Zamir 2025	Psavko 2022	contextual other	Zamir 2025 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Alkhudaydi 2025	Wang 2025	cardiometabolic	Alkhudaydi 2025 (null) vs Wang 2025 (unclear) on cardiometabolic	null vs positive (notable)
agreement	1	Alkhudaydi 2025	Luef 2026	cardiometabolic	Alkhudaydi 2025 (null) vs Luef 2026 (null) on cardiometabolic	agreement (minor)
null vs positive	3	Alkhudaydi 2025	Sidki 2026	cardiometabolic	Alkhudaydi 2025 (null) vs Sidki 2026 (positive) on cardiometabolic	null vs positive (notable)
agreement	1	Alkhudaydi 2025	Zhou 2026	cardiometabolic	Alkhudaydi 2025 (null) vs Zhou 2026 (null) on cardiometabolic	agreement (minor)
disagreement	4	Alkhudaydi 2025	Continuous 2009	cardiometabolic	Alkhudaydi 2025 (null) vs Continuous 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Alkhudaydi 2025	Factors 2009	cardiometabolic	Alkhudaydi 2025 (null) vs Factors 2009 (negative) on cardiometabolic	null vs positive (notable)
disagreement	4	Alkhudaydi 2025	Sustained 2009	cardiometabolic	Alkhudaydi 2025 (null) vs Sustained 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Alkhudaydi 2025	Prolonged 2010	cardiometabolic	Alkhudaydi 2025 (null) vs Prolonged 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Alkhudaydi 2025	Huang 2010	cardiometabolic	Alkhudaydi 2025 (null) vs Huang 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Alkhudaydi 2025	Lee 2020	cardiometabolic	Alkhudaydi 2025 (null) vs Lee 2020 (unclear) on cardiometabolic	null vs positive (notable)
agreement	1	Alkhudaydi 2025	Lu 2021	cardiometabolic	Alkhudaydi 2025 (null) vs Lu 2021 (null) on cardiometabolic	agreement (minor)
agreement	1	Alkhudaydi 2025	Wang 2022	cardiometabolic	Alkhudaydi 2025 (null) vs Wang 2022 (null) on cardiometabolic	agreement (minor)
disagreement	4	Alkhudaydi 2025	Miller 2022	cardiometabolic	Alkhudaydi 2025 (null) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Alkhudaydi 2025	Seidu 2024	cardiometabolic	Alkhudaydi 2025 (null) vs Seidu 2024 (unclear) on cardiometabolic	null vs positive (notable)
disagreement	4	Alkhudaydi 2025	Sebastian 2026	cardiometabolic	Alkhudaydi 2025 (null) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Wang 2025	Luef 2026	cardiometabolic	Wang 2025 (unclear) vs Luef 2026 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Wang 2025	Zhou 2026	cardiometabolic	Wang 2025 (unclear) vs Zhou 2026 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Wang 2025	Continuous 2009	cardiometabolic	Wang 2025 (unclear) vs Continuous 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Wang 2025	Sustained 2009	cardiometabolic	Wang 2025 (unclear) vs Sustained 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Wang 2025	Prolonged 2010	cardiometabolic	Wang 2025 (unclear) vs Prolonged 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Wang 2025	Huang 2010	cardiometabolic	Wang 2025 (unclear) vs Huang 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Wang 2025	Lee 2020	cardiometabolic	Wang 2025 (unclear) vs Lee 2020 (unclear) on cardiometabolic	agreement (minor)
null vs positive	3	Wang 2025	Lu 2021	cardiometabolic	Wang 2025 (unclear) vs Lu 2021 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Wang 2025	Wang 2022	cardiometabolic	Wang 2025 (unclear) vs Wang 2022 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Wang 2025	Miller 2022	cardiometabolic	Wang 2025 (unclear) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Wang 2025	Seidu 2024	cardiometabolic	Wang 2025 (unclear) vs Seidu 2024 (unclear) on cardiometabolic	agreement (minor)
disagreement	4	Wang 2025	Sebastian 2026	cardiometabolic	Wang 2025 (unclear) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Pasqua 2026	Svensek 2026	contextual other	Pasqua 2026 (null) vs Svensek 2026 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Sugimoto 2026	contextual other	Pasqua 2026 (null) vs Sugimoto 2026 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Nilsson 2026	contextual other	Pasqua 2026 (null) vs Nilsson 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Pasqua 2026	Kim 2026	contextual other	Pasqua 2026 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Pasqua 2026	Pedersen 2026	contextual other	Pasqua 2026 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Dicembrini 2026	contextual other	Pasqua 2026 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Patel 2025	contextual other	Pasqua 2026 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Worthington 2026	contextual other	Pasqua 2026 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Gutierrez-Rosa 2026	contextual other	Pasqua 2026 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Pasqua 2026	Gantzel 2026	contextual other	Pasqua 2026 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Pasqua 2026	Takagi 2026	contextual other	Pasqua 2026 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Franceschi 2026	contextual other	Pasqua 2026 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Effectiveness 2009	contextual other	Pasqua 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Brunner 2012	contextual other	Pasqua 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Pasqua 2026	Yu 2019	contextual other	Pasqua 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Pasqua 2026	Malecki 2020	contextual other	Pasqua 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Pasqua 2026	Lee 2020b	contextual other	Pasqua 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Pasqua 2026	Allen 2022	contextual other	Pasqua 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Pasqua 2026	Psavko 2022	contextual other	Pasqua 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Sugimoto 2026	contextual other	Svensek 2026 (null) vs Sugimoto 2026 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Nilsson 2026	contextual other	Svensek 2026 (null) vs Nilsson 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Svensek 2026	Kim 2026	contextual other	Svensek 2026 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Svensek 2026	Pedersen 2026	contextual other	Svensek 2026 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Dicembrini 2026	contextual other	Svensek 2026 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Patel 2025	contextual other	Svensek 2026 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Worthington 2026	contextual other	Svensek 2026 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Gutierrez-Rosa 2026	contextual other	Svensek 2026 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Svensek 2026	Gantzel 2026	contextual other	Svensek 2026 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Svensek 2026	Takagi 2026	contextual other	Svensek 2026 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Franceschi 2026	contextual other	Svensek 2026 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Effectiveness 2009	contextual other	Svensek 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Brunner 2012	contextual other	Svensek 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Svensek 2026	Yu 2019	contextual other	Svensek 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Svensek 2026	Malecki 2020	contextual other	Svensek 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Svensek 2026	Lee 2020b	contextual other	Svensek 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Svensek 2026	Allen 2022	contextual other	Svensek 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Svensek 2026	Psavko 2022	contextual other	Svensek 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Luef 2026	Sidki 2026	cardiometabolic	Luef 2026 (null) vs Sidki 2026 (positive) on cardiometabolic	null vs positive (notable)
agreement	1	Luef 2026	Zhou 2026	cardiometabolic	Luef 2026 (null) vs Zhou 2026 (null) on cardiometabolic	agreement (minor)
disagreement	4	Luef 2026	Continuous 2009	cardiometabolic	Luef 2026 (null) vs Continuous 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Luef 2026	Factors 2009	cardiometabolic	Luef 2026 (null) vs Factors 2009 (negative) on cardiometabolic	null vs positive (notable)
disagreement	4	Luef 2026	Sustained 2009	cardiometabolic	Luef 2026 (null) vs Sustained 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Luef 2026	Prolonged 2010	cardiometabolic	Luef 2026 (null) vs Prolonged 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Luef 2026	Huang 2010	cardiometabolic	Luef 2026 (null) vs Huang 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Luef 2026	Lee 2020	cardiometabolic	Luef 2026 (null) vs Lee 2020 (unclear) on cardiometabolic	null vs positive (notable)
agreement	1	Luef 2026	Lu 2021	cardiometabolic	Luef 2026 (null) vs Lu 2021 (null) on cardiometabolic	agreement (minor)
agreement	1	Luef 2026	Wang 2022	cardiometabolic	Luef 2026 (null) vs Wang 2022 (null) on cardiometabolic	agreement (minor)
disagreement	4	Luef 2026	Miller 2022	cardiometabolic	Luef 2026 (null) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Luef 2026	Seidu 2024	cardiometabolic	Luef 2026 (null) vs Seidu 2024 (unclear) on cardiometabolic	null vs positive (notable)
disagreement	4	Luef 2026	Sebastian 2026	cardiometabolic	Luef 2026 (null) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Sugimoto 2026	Nilsson 2026	contextual other	Sugimoto 2026 (null) vs Nilsson 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Sugimoto 2026	Kim 2026	contextual other	Sugimoto 2026 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Sugimoto 2026	Pedersen 2026	contextual other	Sugimoto 2026 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	Sugimoto 2026	Dicembrini 2026	contextual other	Sugimoto 2026 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Sugimoto 2026	Patel 2025	contextual other	Sugimoto 2026 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Sugimoto 2026	Worthington 2026	contextual other	Sugimoto 2026 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Sugimoto 2026	Gutierrez-Rosa 2026	contextual other	Sugimoto 2026 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Sugimoto 2026	Gantzel 2026	contextual other	Sugimoto 2026 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Sugimoto 2026	Takagi 2026	contextual other	Sugimoto 2026 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Sugimoto 2026	Franceschi 2026	contextual other	Sugimoto 2026 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Sugimoto 2026	Effectiveness 2009	contextual other	Sugimoto 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Sugimoto 2026	Brunner 2012	contextual other	Sugimoto 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Sugimoto 2026	Yu 2019	contextual other	Sugimoto 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Sugimoto 2026	Malecki 2020	contextual other	Sugimoto 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Sugimoto 2026	Lee 2020b	contextual other	Sugimoto 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Sugimoto 2026	Allen 2022	contextual other	Sugimoto 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Sugimoto 2026	Psavko 2022	contextual other	Sugimoto 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Sidki 2026	Zhou 2026	cardiometabolic	Sidki 2026 (positive) vs Zhou 2026 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Sidki 2026	Continuous 2009	cardiometabolic	Sidki 2026 (positive) vs Continuous 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	5	Sidki 2026	Factors 2009	cardiometabolic	Sidki 2026 (positive) vs Factors 2009 (negative) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Sidki 2026	Sustained 2009	cardiometabolic	Sidki 2026 (positive) vs Sustained 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Sidki 2026	Prolonged 2010	cardiometabolic	Sidki 2026 (positive) vs Prolonged 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Sidki 2026	Huang 2010	cardiometabolic	Sidki 2026 (positive) vs Huang 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Sidki 2026	Lu 2021	cardiometabolic	Sidki 2026 (positive) vs Lu 2021 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Sidki 2026	Wang 2022	cardiometabolic	Sidki 2026 (positive) vs Wang 2022 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Sidki 2026	Miller 2022	cardiometabolic	Sidki 2026 (positive) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Sidki 2026	Sebastian 2026	cardiometabolic	Sidki 2026 (positive) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Nilsson 2026	Kim 2026	contextual other	Nilsson 2026 (null) vs Kim 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Nilsson 2026	Pedersen 2026	contextual other	Nilsson 2026 (null) vs Pedersen 2026 (null) on contextual other	agreement (minor)
agreement	1	Nilsson 2026	Dicembrini 2026	contextual other	Nilsson 2026 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Nilsson 2026	Patel 2025	contextual other	Nilsson 2026 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Nilsson 2026	Worthington 2026	contextual other	Nilsson 2026 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Nilsson 2026	Gutierrez-Rosa 2026	contextual other	Nilsson 2026 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Nilsson 2026	Gantzel 2026	contextual other	Nilsson 2026 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Nilsson 2026	Takagi 2026	contextual other	Nilsson 2026 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Nilsson 2026	Franceschi 2026	contextual other	Nilsson 2026 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Nilsson 2026	Effectiveness 2009	contextual other	Nilsson 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Nilsson 2026	Brunner 2012	contextual other	Nilsson 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Nilsson 2026	Yu 2019	contextual other	Nilsson 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Nilsson 2026	Malecki 2020	contextual other	Nilsson 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Nilsson 2026	Lee 2020b	contextual other	Nilsson 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Nilsson 2026	Allen 2022	contextual other	Nilsson 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Nilsson 2026	Psavko 2022	contextual other	Nilsson 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Kim 2026	Pedersen 2026	contextual other	Kim 2026 (unclear) vs Pedersen 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Kim 2026	Dicembrini 2026	contextual other	Kim 2026 (unclear) vs Dicembrini 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Kim 2026	Patel 2025	contextual other	Kim 2026 (unclear) vs Patel 2025 (null) on contextual other	null vs positive (notable)
null vs positive	3	Kim 2026	Worthington 2026	contextual other	Kim 2026 (unclear) vs Worthington 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Kim 2026	Gutierrez-Rosa 2026	contextual other	Kim 2026 (unclear) vs Gutierrez-Rosa 2026 (null) on contextual other	null vs positive (notable)
agreement	1	Kim 2026	Gantzel 2026	contextual other	Kim 2026 (unclear) vs Gantzel 2026 (unclear) on contextual other	agreement (minor)
null vs positive	3	Kim 2026	Takagi 2026	contextual other	Kim 2026 (unclear) vs Takagi 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Kim 2026	Franceschi 2026	contextual other	Kim 2026 (unclear) vs Franceschi 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Kim 2026	Effectiveness 2009	contextual other	Kim 2026 (unclear) vs Effectiveness 2009 (null) on contextual other	null vs positive (notable)
null vs positive	3	Kim 2026	Brunner 2012	contextual other	Kim 2026 (unclear) vs Brunner 2012 (null) on contextual other	null vs positive (notable)
disagreement	4	Kim 2026	Yu 2019	contextual other	Kim 2026 (unclear) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
null vs positive	3	Kim 2026	Malecki 2020	contextual other	Kim 2026 (unclear) vs Malecki 2020 (null) on contextual other	null vs positive (notable)
agreement	1	Kim 2026	Lee 2020b	contextual other	Kim 2026 (unclear) vs Lee 2020b (unclear) on contextual other	agreement (minor)
null vs positive	3	Kim 2026	Allen 2022	contextual other	Kim 2026 (unclear) vs Allen 2022 (null) on contextual other	null vs positive (notable)
null vs positive	3	Kim 2026	Psavko 2022	contextual other	Kim 2026 (unclear) vs Psavko 2022 (null) on contextual other	null vs positive (notable)
agreement	1	Pedersen 2026	Dicembrini 2026	contextual other	Pedersen 2026 (null) vs Dicembrini 2026 (null) on contextual other	agreement (minor)
agreement	1	Pedersen 2026	Patel 2025	contextual other	Pedersen 2026 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Pedersen 2026	Worthington 2026	contextual other	Pedersen 2026 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Pedersen 2026	Gutierrez-Rosa 2026	contextual other	Pedersen 2026 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Pedersen 2026	Gantzel 2026	contextual other	Pedersen 2026 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Pedersen 2026	Takagi 2026	contextual other	Pedersen 2026 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Pedersen 2026	Franceschi 2026	contextual other	Pedersen 2026 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Pedersen 2026	Effectiveness 2009	contextual other	Pedersen 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Pedersen 2026	Brunner 2012	contextual other	Pedersen 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Pedersen 2026	Yu 2019	contextual other	Pedersen 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Pedersen 2026	Malecki 2020	contextual other	Pedersen 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Pedersen 2026	Lee 2020b	contextual other	Pedersen 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Pedersen 2026	Allen 2022	contextual other	Pedersen 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Pedersen 2026	Psavko 2022	contextual other	Pedersen 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
agreement	1	Dicembrini 2026	Patel 2025	contextual other	Dicembrini 2026 (null) vs Patel 2025 (null) on contextual other	agreement (minor)
agreement	1	Dicembrini 2026	Worthington 2026	contextual other	Dicembrini 2026 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Dicembrini 2026	Gutierrez-Rosa 2026	contextual other	Dicembrini 2026 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Dicembrini 2026	Gantzel 2026	contextual other	Dicembrini 2026 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Dicembrini 2026	Takagi 2026	contextual other	Dicembrini 2026 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Dicembrini 2026	Franceschi 2026	contextual other	Dicembrini 2026 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Dicembrini 2026	Effectiveness 2009	contextual other	Dicembrini 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Dicembrini 2026	Brunner 2012	contextual other	Dicembrini 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Dicembrini 2026	Yu 2019	contextual other	Dicembrini 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Dicembrini 2026	Malecki 2020	contextual other	Dicembrini 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Dicembrini 2026	Lee 2020b	contextual other	Dicembrini 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Dicembrini 2026	Allen 2022	contextual other	Dicembrini 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Dicembrini 2026	Psavko 2022	contextual other	Dicembrini 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
agreement	1	Patel 2025	Worthington 2026	contextual other	Patel 2025 (null) vs Worthington 2026 (null) on contextual other	agreement (minor)
agreement	1	Patel 2025	Gutierrez-Rosa 2026	contextual other	Patel 2025 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Patel 2025	Gantzel 2026	contextual other	Patel 2025 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Patel 2025	Takagi 2026	contextual other	Patel 2025 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Patel 2025	Franceschi 2026	contextual other	Patel 2025 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Patel 2025	Effectiveness 2009	contextual other	Patel 2025 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Patel 2025	Brunner 2012	contextual other	Patel 2025 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Patel 2025	Yu 2019	contextual other	Patel 2025 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Patel 2025	Malecki 2020	contextual other	Patel 2025 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Patel 2025	Lee 2020b	contextual other	Patel 2025 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Patel 2025	Allen 2022	contextual other	Patel 2025 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Patel 2025	Psavko 2022	contextual other	Patel 2025 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
disagreement	4	Zhou 2026	Continuous 2009	cardiometabolic	Zhou 2026 (null) vs Continuous 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Zhou 2026	Factors 2009	cardiometabolic	Zhou 2026 (null) vs Factors 2009 (negative) on cardiometabolic	null vs positive (notable)
disagreement	4	Zhou 2026	Sustained 2009	cardiometabolic	Zhou 2026 (null) vs Sustained 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Zhou 2026	Prolonged 2010	cardiometabolic	Zhou 2026 (null) vs Prolonged 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Zhou 2026	Huang 2010	cardiometabolic	Zhou 2026 (null) vs Huang 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Zhou 2026	Lee 2020	cardiometabolic	Zhou 2026 (null) vs Lee 2020 (unclear) on cardiometabolic	null vs positive (notable)
agreement	1	Zhou 2026	Lu 2021	cardiometabolic	Zhou 2026 (null) vs Lu 2021 (null) on cardiometabolic	agreement (minor)
agreement	1	Zhou 2026	Wang 2022	cardiometabolic	Zhou 2026 (null) vs Wang 2022 (null) on cardiometabolic	agreement (minor)
disagreement	4	Zhou 2026	Miller 2022	cardiometabolic	Zhou 2026 (null) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Zhou 2026	Seidu 2024	cardiometabolic	Zhou 2026 (null) vs Seidu 2024 (unclear) on cardiometabolic	null vs positive (notable)
disagreement	4	Zhou 2026	Sebastian 2026	cardiometabolic	Zhou 2026 (null) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Worthington 2026	Gutierrez-Rosa 2026	contextual other	Worthington 2026 (null) vs Gutierrez-Rosa 2026 (null) on contextual other	agreement (minor)
null vs positive	3	Worthington 2026	Gantzel 2026	contextual other	Worthington 2026 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Worthington 2026	Takagi 2026	contextual other	Worthington 2026 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Worthington 2026	Franceschi 2026	contextual other	Worthington 2026 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Worthington 2026	Effectiveness 2009	contextual other	Worthington 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Worthington 2026	Brunner 2012	contextual other	Worthington 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Worthington 2026	Yu 2019	contextual other	Worthington 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Worthington 2026	Malecki 2020	contextual other	Worthington 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Worthington 2026	Lee 2020b	contextual other	Worthington 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Worthington 2026	Allen 2022	contextual other	Worthington 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Worthington 2026	Psavko 2022	contextual other	Worthington 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Gutierrez-Rosa 2026	Gantzel 2026	contextual other	Gutierrez-Rosa 2026 (null) vs Gantzel 2026 (unclear) on contextual other	null vs positive (notable)
agreement	1	Gutierrez-Rosa 2026	Takagi 2026	contextual other	Gutierrez-Rosa 2026 (null) vs Takagi 2026 (null) on contextual other	agreement (minor)
agreement	1	Gutierrez-Rosa 2026	Franceschi 2026	contextual other	Gutierrez-Rosa 2026 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Gutierrez-Rosa 2026	Effectiveness 2009	contextual other	Gutierrez-Rosa 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Gutierrez-Rosa 2026	Brunner 2012	contextual other	Gutierrez-Rosa 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Gutierrez-Rosa 2026	Yu 2019	contextual other	Gutierrez-Rosa 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Gutierrez-Rosa 2026	Malecki 2020	contextual other	Gutierrez-Rosa 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Gutierrez-Rosa 2026	Lee 2020b	contextual other	Gutierrez-Rosa 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Gutierrez-Rosa 2026	Allen 2022	contextual other	Gutierrez-Rosa 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Gutierrez-Rosa 2026	Psavko 2022	contextual other	Gutierrez-Rosa 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Gantzel 2026	Takagi 2026	contextual other	Gantzel 2026 (unclear) vs Takagi 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Gantzel 2026	Franceschi 2026	contextual other	Gantzel 2026 (unclear) vs Franceschi 2026 (null) on contextual other	null vs positive (notable)
null vs positive	3	Gantzel 2026	Effectiveness 2009	contextual other	Gantzel 2026 (unclear) vs Effectiveness 2009 (null) on contextual other	null vs positive (notable)
null vs positive	3	Gantzel 2026	Brunner 2012	contextual other	Gantzel 2026 (unclear) vs Brunner 2012 (null) on contextual other	null vs positive (notable)
disagreement	4	Gantzel 2026	Yu 2019	contextual other	Gantzel 2026 (unclear) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
null vs positive	3	Gantzel 2026	Malecki 2020	contextual other	Gantzel 2026 (unclear) vs Malecki 2020 (null) on contextual other	null vs positive (notable)
agreement	1	Gantzel 2026	Lee 2020b	contextual other	Gantzel 2026 (unclear) vs Lee 2020b (unclear) on contextual other	agreement (minor)
null vs positive	3	Gantzel 2026	Allen 2022	contextual other	Gantzel 2026 (unclear) vs Allen 2022 (null) on contextual other	null vs positive (notable)
null vs positive	3	Gantzel 2026	Psavko 2022	contextual other	Gantzel 2026 (unclear) vs Psavko 2022 (null) on contextual other	null vs positive (notable)
agreement	1	Takagi 2026	Franceschi 2026	contextual other	Takagi 2026 (null) vs Franceschi 2026 (null) on contextual other	agreement (minor)
agreement	1	Takagi 2026	Effectiveness 2009	contextual other	Takagi 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Takagi 2026	Brunner 2012	contextual other	Takagi 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Takagi 2026	Yu 2019	contextual other	Takagi 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Takagi 2026	Malecki 2020	contextual other	Takagi 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Takagi 2026	Lee 2020b	contextual other	Takagi 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Takagi 2026	Allen 2022	contextual other	Takagi 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Takagi 2026	Psavko 2022	contextual other	Takagi 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
agreement	1	Franceschi 2026	Effectiveness 2009	contextual other	Franceschi 2026 (null) vs Effectiveness 2009 (null) on contextual other	agreement (minor)
agreement	1	Franceschi 2026	Brunner 2012	contextual other	Franceschi 2026 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Franceschi 2026	Yu 2019	contextual other	Franceschi 2026 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Franceschi 2026	Malecki 2020	contextual other	Franceschi 2026 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Franceschi 2026	Lee 2020b	contextual other	Franceschi 2026 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Franceschi 2026	Allen 2022	contextual other	Franceschi 2026 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Franceschi 2026	Psavko 2022	contextual other	Franceschi 2026 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
disagreement	4	Continuous 2009	Factors 2009	cardiometabolic	Continuous 2009 (mixed) vs Factors 2009 (negative) on cardiometabolic	disagreement (load-bearing)
agreement	1	Continuous 2009	Sustained 2009	cardiometabolic	Continuous 2009 (mixed) vs Sustained 2009 (mixed) on cardiometabolic	agreement (minor)
agreement	1	Continuous 2009	Prolonged 2010	cardiometabolic	Continuous 2009 (mixed) vs Prolonged 2010 (mixed) on cardiometabolic	agreement (minor)
agreement	1	Continuous 2009	Huang 2010	cardiometabolic	Continuous 2009 (mixed) vs Huang 2010 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Continuous 2009	Lee 2020	cardiometabolic	Continuous 2009 (mixed) vs Lee 2020 (unclear) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Continuous 2009	Lu 2021	cardiometabolic	Continuous 2009 (mixed) vs Lu 2021 (null) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Continuous 2009	Wang 2022	cardiometabolic	Continuous 2009 (mixed) vs Wang 2022 (null) on cardiometabolic	disagreement (load-bearing)
agreement	1	Continuous 2009	Miller 2022	cardiometabolic	Continuous 2009 (mixed) vs Miller 2022 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Continuous 2009	Seidu 2024	cardiometabolic	Continuous 2009 (mixed) vs Seidu 2024 (unclear) on cardiometabolic	disagreement (load-bearing)
agreement	1	Continuous 2009	Sebastian 2026	cardiometabolic	Continuous 2009 (mixed) vs Sebastian 2026 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Factors 2009	Sustained 2009	cardiometabolic	Factors 2009 (negative) vs Sustained 2009 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Factors 2009	Prolonged 2010	cardiometabolic	Factors 2009 (negative) vs Prolonged 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Factors 2009	Huang 2010	cardiometabolic	Factors 2009 (negative) vs Huang 2010 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Factors 2009	Lu 2021	cardiometabolic	Factors 2009 (negative) vs Lu 2021 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Factors 2009	Wang 2022	cardiometabolic	Factors 2009 (negative) vs Wang 2022 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Factors 2009	Miller 2022	cardiometabolic	Factors 2009 (negative) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Factors 2009	Sebastian 2026	cardiometabolic	Factors 2009 (negative) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Sustained 2009	Prolonged 2010	cardiometabolic	Sustained 2009 (mixed) vs Prolonged 2010 (mixed) on cardiometabolic	agreement (minor)
agreement	1	Sustained 2009	Huang 2010	cardiometabolic	Sustained 2009 (mixed) vs Huang 2010 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Sustained 2009	Lee 2020	cardiometabolic	Sustained 2009 (mixed) vs Lee 2020 (unclear) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Sustained 2009	Lu 2021	cardiometabolic	Sustained 2009 (mixed) vs Lu 2021 (null) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Sustained 2009	Wang 2022	cardiometabolic	Sustained 2009 (mixed) vs Wang 2022 (null) on cardiometabolic	disagreement (load-bearing)
agreement	1	Sustained 2009	Miller 2022	cardiometabolic	Sustained 2009 (mixed) vs Miller 2022 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Sustained 2009	Seidu 2024	cardiometabolic	Sustained 2009 (mixed) vs Seidu 2024 (unclear) on cardiometabolic	disagreement (load-bearing)
agreement	1	Sustained 2009	Sebastian 2026	cardiometabolic	Sustained 2009 (mixed) vs Sebastian 2026 (mixed) on cardiometabolic	agreement (minor)
agreement	1	Effectiveness 2009	Brunner 2012	contextual other	Effectiveness 2009 (null) vs Brunner 2012 (null) on contextual other	agreement (minor)
disagreement	4	Effectiveness 2009	Yu 2019	contextual other	Effectiveness 2009 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Effectiveness 2009	Malecki 2020	contextual other	Effectiveness 2009 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Effectiveness 2009	Lee 2020b	contextual other	Effectiveness 2009 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Effectiveness 2009	Allen 2022	contextual other	Effectiveness 2009 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Effectiveness 2009	Psavko 2022	contextual other	Effectiveness 2009 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
agreement	1	Prolonged 2010	Huang 2010	cardiometabolic	Prolonged 2010 (mixed) vs Huang 2010 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Prolonged 2010	Lee 2020	cardiometabolic	Prolonged 2010 (mixed) vs Lee 2020 (unclear) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Prolonged 2010	Lu 2021	cardiometabolic	Prolonged 2010 (mixed) vs Lu 2021 (null) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Prolonged 2010	Wang 2022	cardiometabolic	Prolonged 2010 (mixed) vs Wang 2022 (null) on cardiometabolic	disagreement (load-bearing)
agreement	1	Prolonged 2010	Miller 2022	cardiometabolic	Prolonged 2010 (mixed) vs Miller 2022 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Prolonged 2010	Seidu 2024	cardiometabolic	Prolonged 2010 (mixed) vs Seidu 2024 (unclear) on cardiometabolic	disagreement (load-bearing)
agreement	1	Prolonged 2010	Sebastian 2026	cardiometabolic	Prolonged 2010 (mixed) vs Sebastian 2026 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Huang 2010	Lee 2020	cardiometabolic	Huang 2010 (mixed) vs Lee 2020 (unclear) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Huang 2010	Lu 2021	cardiometabolic	Huang 2010 (mixed) vs Lu 2021 (null) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Huang 2010	Wang 2022	cardiometabolic	Huang 2010 (mixed) vs Wang 2022 (null) on cardiometabolic	disagreement (load-bearing)
agreement	1	Huang 2010	Miller 2022	cardiometabolic	Huang 2010 (mixed) vs Miller 2022 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Huang 2010	Seidu 2024	cardiometabolic	Huang 2010 (mixed) vs Seidu 2024 (unclear) on cardiometabolic	disagreement (load-bearing)
agreement	1	Huang 2010	Sebastian 2026	cardiometabolic	Huang 2010 (mixed) vs Sebastian 2026 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Brunner 2012	Yu 2019	contextual other	Brunner 2012 (null) vs Yu 2019 (mixed) on contextual other	disagreement (load-bearing)
agreement	1	Brunner 2012	Malecki 2020	contextual other	Brunner 2012 (null) vs Malecki 2020 (null) on contextual other	agreement (minor)
null vs positive	3	Brunner 2012	Lee 2020b	contextual other	Brunner 2012 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Brunner 2012	Allen 2022	contextual other	Brunner 2012 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Brunner 2012	Psavko 2022	contextual other	Brunner 2012 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
disagreement	4	Yu 2019	Malecki 2020	contextual other	Yu 2019 (mixed) vs Malecki 2020 (null) on contextual other	disagreement (load-bearing)
disagreement	4	Yu 2019	Lee 2020b	contextual other	Yu 2019 (mixed) vs Lee 2020b (unclear) on contextual other	disagreement (load-bearing)
disagreement	4	Yu 2019	Allen 2022	contextual other	Yu 2019 (mixed) vs Allen 2022 (null) on contextual other	disagreement (load-bearing)
disagreement	4	Yu 2019	Psavko 2022	contextual other	Yu 2019 (mixed) vs Psavko 2022 (null) on contextual other	disagreement (load-bearing)
null vs positive	3	Lee 2020	Lu 2021	cardiometabolic	Lee 2020 (unclear) vs Lu 2021 (null) on cardiometabolic	null vs positive (notable)
null vs positive	3	Lee 2020	Wang 2022	cardiometabolic	Lee 2020 (unclear) vs Wang 2022 (null) on cardiometabolic	null vs positive (notable)
disagreement	4	Lee 2020	Miller 2022	cardiometabolic	Lee 2020 (unclear) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Lee 2020	Seidu 2024	cardiometabolic	Lee 2020 (unclear) vs Seidu 2024 (unclear) on cardiometabolic	agreement (minor)
disagreement	4	Lee 2020	Sebastian 2026	cardiometabolic	Lee 2020 (unclear) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Malecki 2020	Lee 2020b	contextual other	Malecki 2020 (null) vs Lee 2020b (unclear) on contextual other	null vs positive (notable)
agreement	1	Malecki 2020	Allen 2022	contextual other	Malecki 2020 (null) vs Allen 2022 (null) on contextual other	agreement (minor)
agreement	1	Malecki 2020	Psavko 2022	contextual other	Malecki 2020 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
null vs positive	3	Lee 2020b	Allen 2022	contextual other	Lee 2020b (unclear) vs Allen 2022 (null) on contextual other	null vs positive (notable)
null vs positive	3	Lee 2020b	Psavko 2022	contextual other	Lee 2020b (unclear) vs Psavko 2022 (null) on contextual other	null vs positive (notable)
agreement	1	Lu 2021	Wang 2022	cardiometabolic	Lu 2021 (null) vs Wang 2022 (null) on cardiometabolic	agreement (minor)
disagreement	4	Lu 2021	Miller 2022	cardiometabolic	Lu 2021 (null) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Lu 2021	Seidu 2024	cardiometabolic	Lu 2021 (null) vs Seidu 2024 (unclear) on cardiometabolic	null vs positive (notable)
disagreement	4	Lu 2021	Sebastian 2026	cardiometabolic	Lu 2021 (null) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
agreement	1	Allen 2022	Psavko 2022	contextual other	Allen 2022 (null) vs Psavko 2022 (null) on contextual other	agreement (minor)
disagreement	4	Wang 2022	Miller 2022	cardiometabolic	Wang 2022 (null) vs Miller 2022 (mixed) on cardiometabolic	disagreement (load-bearing)
null vs positive	3	Wang 2022	Seidu 2024	cardiometabolic	Wang 2022 (null) vs Seidu 2024 (unclear) on cardiometabolic	null vs positive (notable)
disagreement	4	Wang 2022	Sebastian 2026	cardiometabolic	Wang 2022 (null) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)
disagreement	4	Miller 2022	Seidu 2024	cardiometabolic	Miller 2022 (mixed) vs Seidu 2024 (unclear) on cardiometabolic	disagreement (load-bearing)
agreement	1	Miller 2022	Sebastian 2026	cardiometabolic	Miller 2022 (mixed) vs Sebastian 2026 (mixed) on cardiometabolic	agreement (minor)
disagreement	4	Seidu 2024	Sebastian 2026	cardiometabolic	Seidu 2024 (unclear) vs Sebastian 2026 (mixed) on cardiometabolic	disagreement (load-bearing)

Table 4 (supplemental): Design-Level Evidence Weighting Heuristic

Per-domain grades are derived from each study's evidence tier (A1/A2/B1/B2/C1/C2) — they capture design-level limitations, NOT a formal per-paper risk-of-bias assessment from the source text. Domains follow design-family categories for randomized, observational, animal, and systematic-review evidence; n/a indicates the domain is not meaningful for that design (e.g. blinding for an observational cohort). The Weight in synthesis column is the qualitative weighting the synthesis applies to each source — derived from tier × directness × overall RoB.

Citation	Tier	Tool	Allocation	Blinding	Attrition	Outcome measurement	Reporting	Confounding control	Generalizability	Overall RoB	Weight in synthesis	Effect direction notes
Sidki 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	positive effect — see Tables 1/2
Gravesteijn 2023	A1	Cochrane RoB-2	low	low	moderate	low	low	low	moderate	low	load-bearing (direct clinical RCT)	positive effect — see Tables 1/2
Lu 2021	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Lee 2020	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	signed claims without significance signal
Franceschi 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Smedegaard 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Continuous 2009	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	internal contradiction across endpoints
Factors 2009	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	negative effect — see Tables 1/2
Leite 2023	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Effectiveness 2009	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Wang 2024	B1	AMSTAR-2 (review)	unclear	unclear	unclear	unclear	moderate	moderate	moderate	unclear	supporting (synthesis evidence)	signed claims without significance signal
Takagi 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Lee 2020b	A1	Cochrane RoB-2	low	low	moderate	low	low	low	moderate	low	load-bearing (direct clinical RCT)	signed claims without significance signal
Wang 2022	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Kim 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	signed claims without significance signal
Yu 2019	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	internal contradiction across endpoints
Sustained 2009	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	internal contradiction across endpoints
Yuan 2024	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	signed claims without significance signal
Gutierrez-Rosa 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Huang 2010	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	internal contradiction across endpoints
Lever 2025	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Pasqua 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Patel 2025	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Nilsson 2026	A1	Cochrane RoB-2	low	low	moderate	low	low	low	moderate	low	load-bearing (direct clinical RCT)	primary endpoint did not reach significance
Wu 2024	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Schoonhoven 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	signed claims without significance signal
Allen 2022	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Zamir 2025	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
McGown 2025	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Svensek 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Zhou 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Prolonged 2010	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	internal contradiction across endpoints
Miller 2022	B1	AMSTAR-2 (review)	unclear	unclear	unclear	unclear	moderate	moderate	moderate	unclear	supporting (synthesis evidence)	internal contradiction across endpoints
PaneroMoreno 2024	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Wang 2025	B1	AMSTAR-2 (review)	unclear	unclear	unclear	unclear	moderate	moderate	moderate	unclear	supporting (synthesis evidence)	signed claims without significance signal
Luef 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Alkhudaydi 2025	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Gantzel 2026	B1	AMSTAR-2 (review)	unclear	unclear	unclear	unclear	moderate	moderate	moderate	unclear	supporting (synthesis evidence)	signed claims without significance signal
Malecki 2020	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Sugimoto 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Pedersen 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Dicembrini 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Allen 2024	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Scott 2023	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Worthington 2026	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Brunner 2012	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Wang 2025b	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	signed claims without significance signal
Psavko 2022	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Sebastian 2026	B1	AMSTAR-2 (review)	unclear	unclear	unclear	unclear	moderate	moderate	moderate	unclear	supporting (synthesis evidence)	internal contradiction across endpoints
Wei 2019	B2	ROBINS-I	n/a	n/a	moderate	moderate	moderate	high	moderate	moderate	contextual (observational signal)	primary endpoint did not reach significance
Seidu 2024	B1	AMSTAR-2 (review)	unclear	unclear	unclear	unclear	moderate	moderate	moderate	unclear	supporting (synthesis evidence)	signed claims without significance signal

Table 5 (supplemental): Per-Paper Numeric Index

Top-N quantitative claims per paper — the underlying corpus numerics that power Q2 trace and Q9 density. One row per (paper × claim) tuple, prioritised by claim type (p-value > percentage > ratio > unit-value).

Citation	Section	Type	Value	Units
Gravesteijn 2023	abstract	p-value	P = 0.002	—
Gravesteijn 2023	introduction	percentage	20%	%
Gravesteijn 2023	introduction	unit value	4 weeks	weeks
Gravesteijn 2023	results	mean ± SD	29.9 ± 4.2	—
Gravesteijn 2023	results	sample size	n = 34	—
Continuous 2009	methods	percentage	0.3%	%
Continuous 2009	methods	unit value	26 weeks	weeks
Continuous 2009	methods	percentage	0.3%	%
Continuous 2009	methods	unit value	26 weeks	weeks
Continuous 2009	methods	unit value	70 mg	mg
Wang 2024	introduction	unit value	1.56 mmol/L	mmol/L
Lee 2020b	results	p-value	P = 0.476	—
Lee 2020b	results	percentage	17.1%	%
Lee 2020b	results	unit value	3.4 kg	kg
Lee 2020b	results	mean ± SD	26.5±3.4	—
Lee 2020b	results	percentage	11.6%	%
Huang 2010	abstract	p-value	P = 0.49	—
Huang 2010	abstract	percentage	7.0%	%
Huang 2010	results	mean ± SD	0.70 ± 1.03	—
Huang 2010	abstract	percentage	7.0%	%
Huang 2010	abstract	p-value	P = 0.04	—
Nilsson 2026	abstract	p-value	P < 0.001	—
Nilsson 2026	abstract	percentage	29%	%
Nilsson 2026	introduction	unit value	500 mg	mg
Nilsson 2026	abstract	percentage	26%	%
Nilsson 2026	abstract	p-value	P < 0.001	—
Miller 2022	abstract	p-value	P < 0.001	—
Miller 2022	abstract	percentage	3.9%	%
Miller 2022	abstract	unit value	52 weeks	weeks
Miller 2022	abstract	unit value	70 mg/dL	mg/dL
Miller 2022	abstract	percentage	1.9%	%
Wang 2025	introduction	percentage	60%	%
Wang 2025	discussion	unit value	14.7 kg	kg
Wang 2025	introduction	percentage	13%	%
Wang 2025	introduction	percentage	24%	%
Wang 2025	introduction	percentage	31%	%
Gantzel 2026	results	percentage	95%	%
Gantzel 2026	results	confidence interval	95% CI 0.31-0.84	95%CI
Malecki 2020	discussion	unit value	26 weeks	weeks
Sebastian 2026	abstract	p-value	P < 0.001	—
Sebastian 2026	abstract	percentage	0.48 %	%
Sebastian 2026	abstract	unit value	9.31 mg/dL	mg/dL
Sebastian 2026	abstract	confidence interval	95 % CI: 0.68 to -0.29	95%CI
Sebastian 2026	abstract	percentage	0.65 %	%
Seidu 2024	abstract	percentage	0.19%	%
Seidu 2024	abstract	confidence interval	95% CI -0.34, -0.04	95%CI
Seidu 2024	abstract	confidence interval	95% CI 1.01, 1.47	95%CI
Seidu 2024	abstract	percentage	0.31%	%

Additional corpus sources informed the synthesis without anchoring a foregrounded quantitative claim and are catalogued for completeness: ADA 2024.

References

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Background References

Canonical clinical thresholds cited in prose. Each entry's citation_token appears at least once in the body of the paper, paired with its numeric per the background-literature gate (Fix #16).

ADA 2024. American Diabetes Association. Standards of Care in Diabetes. Diabetes Care. 2024;47(Suppl 1). DOI: 10.2337/dc24-S006.
Ioannidis 2005. Ioannidis JPA. Why most published research findings are false. PLoS Med. 2005;2(8):e124. DOI: 10.1371/journal.pmed.0020124. PMID: 16060722.

Proof Trail

Decision: AcceptLiving evidence briefGate failures: 0

Topic: research

Author: Dominic Lynch

Author ORCID: 0009-0005-4286-8363

Institution: not supplied

ROR: not supplied

RAiD: not supplied

OSF DOI: 10.17605/OSF.IO/QAGUD

AI co-writer: agent-v3-full-paper

Reviewer: reviewer-panel

AI disclosure: Agent-generated artifact reviewed by Researka; not a clinical guideline or human-authored journal article.

Integrity check: not recorded

Published: May 28, 2026

Provenance chain: Available → View

SHA-256: sha256:3346602af5f...

Publication ID: becb4785-6244-41cd...

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RESEARKA

Research Synthesis: Cgm Glucose Variability

Certification Timeline

Abstract

Review Summary

Evidence Transparency

Living Evidence Brief

Research Question

Search Summary

Review type and protocol

Information sources

Search strategy

Eligibility criteria

Selection of sources of evidence

source admission funnel

Exclusion reasons

Data items

Risk-of-bias appraisal

Synthesis approach

AI-use disclosure

Accountability

Evidence Landscape

Cardiometabolic Outcomes

Contextual Adjacent Evidence Outcomes

Immune and Inflammation Outcomes

Longevity Outcomes

Mortality and Survival Outcomes

Dosing and Pharmacokinetics Outcomes

Safety and Comorbidity Outcomes

Key Findings

Cardiometabolic Outcomes

Contextual Adjacent Evidence Outcomes

Immune and Inflammation Outcomes

Longevity Outcomes

Mortality and Survival Outcomes

Dosing and Pharmacokinetics Outcomes

Safety and Comorbidity Outcomes

Limitations

Gaps Identified

Evidence Summary

Interpretation constraints

Conclusion

Research Synthesis: Cgm Glucose Variability

Abstract

Introduction

Background

Evidence Context

Methods

Review type and protocol

Information sources

Search strategy

Eligibility criteria

Selection of sources of evidence

source admission funnel

Exclusion reasons

Data items

Risk-of-bias appraisal

Synthesis approach

AI-use disclosure

Accountability

Results

Cardiometabolic Outcomes

Contextual Adjacent Evidence Outcomes

Immune and Inflammation Outcomes

Longevity Outcomes

Mortality and Survival Outcomes

Dosing and Pharmacokinetics Outcomes

Safety and Comorbidity Outcomes

Cross-Domain Synthesis

Boundary-condition synthesis

Endpoint-Sensitivity Framework

Discussion

Evidence Summary

Interpretation constraints

Limitations

Conclusion

What This Synthesis Adds

Boundary-Condition Matrix

Evidence-Gap Priority

Next-Study Design Recommendation