Evidence map›Paper›PMID 41888845›Full record

SynthesisCardiovascular diabetology2026

Associations of triglyceride-glucose-related composite obesity indices with cardiovascular diseases and mortality: a systematic review and meta-analysis.

Hui Liu, Feng Guo, Hongjia Fu, Xin Xu, Zengyu Wang, Jialu Kang, Jiangxue Feng, Yongqing Shen, Wei Liu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Cardiovascular diabetology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hui Liu *Faculty of Nursing, Hebei University of Chinese Medicine, Shijiazhuang, 050200, Hebei, China.
Feng Guo *Faculty of Nursing, Hebei University of Chinese Medicine, Shijiazhuang, 050200, Hebei, China.
Hongjia FuFaculty of Nursing, Hebei University of Chinese Medicine, Shijiazhuang, 050200, Hebei, China.
Xin XuHebei General Hospital, Shijiazhuang, 050051, Hebei, China.
Zengyu WangFaculty of Nursing, Hebei University of Chinese Medicine, Shijiazhuang, 050200, Hebei, China.
Jialu KangThe First Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Jiangxue FengThe First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, 050013, Hebei, China.
Yongqing ShenFaculty of Nursing, Hebei University of Chinese Medicine, Shijiazhuang, 050200, Hebei, China. shenyongqing@hebcm.edu.cn.
Wei LiuFaculty of Nursing, Hebei University of Chinese Medicine, Shijiazhuang, 050200, Hebei, China. liuwei000430@hebcm.edu.cn.

Funding

the Education and Teaching Reform Research Project of Hebei University of Traditional Chinese Medicine 24yb-1the Major Research Project of Humanities and Social Sciences in Higher Education Institutions of Hebei Province ZD2026014the Project of Provincial Colleges and Universities' Basic Scientific Research Operating Expenses TDSK2024001the Teaching Reform Research Project of Postgraduate Education XYJG2024004the Yanzhao Medical Research Project of Hebei University of Traditional Chinese Medicine YZSY2024005
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index is a surrogate marker of insulin resistance. TyG-based composite adiposity indices (e.g., TyG-WHtR and TyG-WC) have been used for cardiovascular risk assessment. However, the evidence has not been systematically synthesized, and differences in risk increments across indices, as well as their dose-response relationships, remain unclear.

methodsWe searched PubMed, EMBASE, and Web of Science through October 8, 2025, for observational studies evaluating associations of TyG-based composite adiposity indices (TyG-BMI, TyG-WC, TyG-WHtR, TyG-ABSI, and TyG-BRI) with major cardiovascular and mortality outcomes. Random-effects models were used to pool effect estimates from continuous analyses (per 1-SD increase) and categorical comparisons (highest vs lowest quantile). Within each outcome, we additionally synthesized between-index differences in risk increments. In addition, we conducted linear and non-linear dose-response meta-analyses for the primary outcomes. Subgroup and sensitivity analyses were performed to explore heterogeneity and robustness, and publication bias was assessed using Egger's regression test.

resultsA total of 85 studies were included (15 cross-sectional and 70 cohort studies). In continuous analyses, per 1-SD increase, cardiovascular disease (CVD) risk increased by 17%, 20%, and 19% for TyG-BMI, TyG-WC, and TyG-WHtR, respectively (28 studies), whereas TyG-BRI was not significantly associated with CVD. For stroke (19 studies), the corresponding increases were 18%, 18%, 37%, and 17% for TyG-BMI, TyG-WC, TyG-WHtR, and TyG-BRI, respectively. For coronary artery disease (CAD) (11 studies), risk increased by 17%, 18%, and 22% per 1-SD for TyG-BMI, TyG-WC, and TyG-WHtR, respectively. For mortality outcomes, per 1-SD increase, cardiovascular mortality increased by 22%, 24%, 32%, and 31% for TyG-BMI, TyG-WC, TyG-WHtR, and TyG-ABSI (24 studies), and all-cause mortality increased by 5%, 18%, 21%, and 23% (37 studies). In categorical analyses, the highest vs lowest quantile was associated with higher risk for most indices, except that TyG-BMI was not significantly associated with all-cause mortality. Between-index comparisons suggested slightly greater risk increments for TyG-WHtR and TyG-WC than for TyG-BMI for some outcomes. Dose-response analyses further indicated non-linear increasing associations of TyG-BMI, TyG-WC, and TyG-WHtR with incident CVD and cardiovascular mortality, whereas TyG-BMI showed a U-shaped association with all-cause mortality. TyG-BRI was linearly associated with CVD, and TyG-ABSI was linearly associated with cardiovascular mortality. Region, population type, and sample size were potential sources of heterogeneity.

conclusionsTyG-based composite obesity indices are associated with various cardiovascular outcomes and mortality risk, suggesting they may serve as a supplement to traditional risk assessment for risk stratification and early identification in primary prevention. Future multicenter prospective studies are still needed to further validate their causal associations and generalizability across diverse populations.

Indexed as

AdiposityBlood GlucoseCardiovascular DiseasesObesityTriglyceridesAgedBiomarkersFemaleHeart Disease Risk FactorsHumansInsulin ResistanceMaleMiddle AgedObservational Studies as TopicPrognosisRisk AssessmentBiomarkersBlood GlucoseTriglyceridesCardiovascular diseaseMeta-analysisMortalityTriglyceride-glucose indexTyG-related obesity indices

Identifiers

PMID41888845
PMCPMC13141572

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Registered trials

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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.