Evidence map›Paper›PMID 42676437›Full record

SynthesisFrontiers in endocrinology2026

Mortality and cardiovascular risk of triglyceride-glucose and derived indices in cardiovascular-kidney-metabolic syndrome stages 0-3: a dose-response meta-analysis.

Jun-Qiao An, Xue He, Qian-Ying Hao, Yan Wu, Qing-Yong He

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jun-Qiao AnGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xue HeGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Qian-Ying HaoGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yan WuGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Qing-Yong HeGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The associations of the triglyceride-glucose (TyG) index and its derived indices with the progression of cardiovascular-kidney-metabolic (CKM) syndrome remain poorly elucidated. Methods: We conducted a systematic review and dose-response meta-analysis of 80 observational studies encompassing populations within CKM stages 0-3, evaluating TyG, TyG-BMI, TyG-WC, TyG-WHtR, and CTI for all-cause mortality, cardiovascular disease (CVD) mortality, and CVD incidence (including stroke, coronary heart disease, heart failure and major adverse cardiovascular events). A one-stage mixed-effects approach was used, supplemented by subgroup, meta-regression, leave-one-out, and trim-and-fill analyses. Results: In both continuous (per 1-SD increment) and categorical (highest vs. lowest) analyses, TyG-derived indices generally demonstrated stronger risk associations with target outcomes than TyG alone. Notably, CTI, TyG-WC, and TyG-WHtR exhibited higher risk associations. In the highest-category analysis, TyG-WC yielded the most pronounced risk for CVD mortality (RR = 1.52, 95% CI: 1.35-1.70, 95% PI: 1.26-1.82). CTI was associated with a 57% increase in incident CVD (RR = 1.57, 95% CI: 1.33-1.85, 95% PI: 1.00-2.46). Conversely, TyG-BMI showed non-significant associations with mortality-related outcomes (P > 0.05), though it predicted a 51% risk increase for incident CVD (RR = 1.51, 95% CI: 1.36-1.67, 95% PI: 1.05-2.16). Subgroup analysis indicated that these positive associations were pronounced in CKM stages 1-3 but entirely non-significant in stage 0 and the obesity subgroup had a significant impact on the risk of mortality. Dose-response analyses revealed a significant non-linear U-shaped association of the TyG index with all-cause mortality (Pnon-linearity < 0.0001; nadir = 8.90). For CVD mortality, the overall association was significant (Poverall = 0.005; nadir = 8.91), whereas a monotonic increasing trend was observed for CVD incidence (Poverall = 0.0014). In sensitivity analyses excluding participants with cancer or consumptive diseases at baseline, as well as those in CKM stage 0, the U-shaped patterns remained stable (mortality nadir shifted to 9.1). Conclusions: TyG-derived indices, particularly TyG-WC, TyG-WHtR, and CTI, show stronger risk associations than the TyG index for cardiovascular risk assessment in CKM populations, whereas the clinical utility of TyG-BMI is relatively limited. Moderate elevations in TyG were associated with lower mortality risk within a certain range, though the non-linear association was confirmed only for all-cause mortality. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251111362, identifier CRD420251111362.

Indexed as

Blood GlucoseCardio-Renal SyndromeCardiovascular DiseasesMetabolic SyndromeTriglyceridesHumansRisk FactorsBlood GlucoseTriglyceridesinsulin resistancenon-linear associationrisk stratificationTyGvisceral adiposity

Identifiers

PMID42676437
PMCPMC13526669

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.