Evidence map›Paper›PMID 42839230›Full record

SynthesisBMC cardiovascular disorders2026

Association between triglyceride-glucose-related indices and cardiovascular disease risk in population with cardio-kidney-metabolic syndrome stages 0-3: a systematic review and meta-analysis.

Yanxu Chen, Bo Dai, Jieyu Zhang, Zhenru Liu, Haotian Qi, Yang Xiao, Hezeng Dong, Ziqiang Chen, Qinghai Long, Shengxian Xu and 1 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yanxu Chen *College of Science and Technology Changchun, Changchun, China.
Bo Dai *Changchun University of Chinese Medicine, Changchun, China.
Jieyu ZhangChangchun University of Chinese Medicine, Changchun, China.
Zhenru LiuChangchun University of Chinese Medicine, Changchun, China.
Haotian QiChangchun University of Chinese Medicine, Changchun, China.
Yang XiaoChangchun University of Chinese Medicine, Changchun, China.
Hezeng DongChangchun University of Chinese Medicine, Changchun, China.
Ziqiang ChenChangchun University of Chinese Medicine, Changchun, China.
Qinghai LongChangchun University of Chinese Medicine, Changchun, China.
Shengxian XuChangchun University of Chinese Medicine, Changchun, China.
Jian SunChangchun University of Chinese Medicine, Changchun, China. sunjian8911@163.com.

Funding

Department of Science and Technology of Jilin Province YDZJ202401684ZYTS
6 · The paper itself

Abstract

objectiveThis systematic review and meta-analysis aimed to compare the associations of four triglyceride-glucose (TyG)-derived indices (TyG, TyG-BMI, TyG-WC, TyG-WHtR) with incident cardiovascular disease (CVD) risk among individuals with stage 0-3 cardio-kidney-metabolic (CKM) syndrome, and explore potential sources of inter-study heterogeneity using pre-specified subgroup analyses and exploratory meta-regression analyses.

methodsWe systematically searched PubMed, Embase, Web of Science, and the Cochrane Library from database inception to May 1, 2026. Two independent reviewers completed study screening, data extraction, and quality assessment using the Newcastle-Ottawa Scale (NOS). Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were synthesized using fixed- or random-effects models according to between-study heterogeneity, which was quantified by Cochran's Q test and the I² statistic. Subgroup analyses, exploratory univariable meta-regression analyses, leave-one-out sensitivity analyses, and publication bias assessments were performed to investigate potential sources of heterogeneity and evaluate the robustness of the findings.

resultsNine high-quality prospective cohort studies were ultimately included. Participants in the highest versus lowest quantiles of each index had significantly elevated CVD risk: TyG (HR = 1.24, 95% CI 1.16-1.33, I² = 76%), TyG-BMI (HR = 1.44, 95% CI 1.26-1.66, I² = 93%), TyG-WC (HR = 1.42, 95% CI 1.21-1.67, I² = 96%), and TyG-WHtR (HR = 1.45, 95% CI 1.28-1.65, I² = 91%). Exploratory meta-regression suggested that follow-up duration may contribute to heterogeneity in TyG, whereas age may contribute to heterogeneity in TyG-WHtR; substantial residual heterogeneity remained for TyG-WC and TyG-WHtR. Sensitivity analyses supported the robustness of the findings. No significant publication bias was detected, but statistical power was limited by fewer than 10 studies per index.

conclusionsThis meta-analysis suggests that elevated TyG-derived indices are significantly associated with increased incident CVD risk among individuals with stage 0-3 CKM syndrome. Composite TyG-derived indices showed numerically higher pooled effect estimates than the TyG index; however, overlapping confidence intervals and the absence of direct statistical comparisons prevent conclusions regarding the superiority of any specific index. Given the observational nature of the included studies, limited population diversity, and substantial residual heterogeneity, these findings should be interpreted cautiously. TyG-derived indices may represent potential auxiliary markers for CVD risk stratification, and further large-scale multi-ethnic prospective studies are warranted to evaluate their clinical utility.

Indexed as

Blood GlucoseCardiovascular DiseasesKidney DiseasesMetabolic SyndromeTriglyceridesAdultAgedBiomarkersFemaleHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPrognosisRisk AssessmentBiomarkersBlood GlucoseTriglyceridesCardiovascular diseasesCardiovascular riskCKM syndromeCohort studiesInsulin resistanceTriglyceride-glucose index

Identifiers

PMID42839230
PMCPMC13644149

What OpenQuestion holds

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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.