Evidence map›Paper›PMID 35778731›Full record

SynthesisCardiovascular diabetology2022

Relationship between the triglyceride-glucose index and risk of cardiovascular diseases and mortality in the general population: a systematic review and meta-analysis.

Xiao Liu, Ziqi Tan, Yuna Huang, Huilei Zhao, Menglu Liu, Peng Yu, Jianyong Ma, Yujie Zhao, Wengen Zhu, Jingfeng Wang

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 276 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
276citing papers in PubMed, 15 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

276 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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  2. Triglyceride-Glucose Index and Mortality Risk in the General Population: A Systematic Review and Meta-analysis of Prospective Studies.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
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216 more citing papers are in PubMed but not listed here.

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

10 authors.

Xiao Liu *Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China. liux587@mail.sysu.edu.cn.
Ziqi Tan *Department of Endocrine, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Yuna HuangDepartment of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Huilei ZhaoDepartment of Anesthesiology, The Third Hospital of Nanchang, Nanchang, 330006, Jiangxi, China.
Menglu LiuDepartment of Cardiology, Seventh People's Hospital of Zhengzhou, Zhengzhou, 334000, Henan, China.
Peng YuDepartment of Endocrine, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Jianyong MaDepartment of Pharmacology and Systems Physiology, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA.
Yujie ZhaoDepartment of Cardiology, Seventh People's Hospital of Zhengzhou, Zhengzhou, 334000, Henan, China.
Wengen ZhuDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China. zhuwg6@mail.sysu.edu.cn.
Jingfeng WangDepartment of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China. wangjf@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index is a new alternative measure for insulin resistance. This meta-analysis was conducted to assess the associations of the TyG index with the risks of cardiovascular diseases and mortality in the general population.

methodsThe PubMed, Cochrane Library and Embase databases were searched for randomized controlled trials or observational cohort studies reporting associations of the TyG index with cardiovascular diseases and mortality from inception to April 16, 2022. Effect sizes were pooled using random-effects models. Robust error meta-regression methods were applied to fit nonlinear dose-response associations. Evidence quality levels and recommendations were assessed using the Grading of Recommendations Assessment, Development and Evaluation system (GRADE).

resultsTwelve cohort studies (6 prospective and 6 retrospective cohorts) involving 6,354,990 participants were included in this meta-analysis. Compared with the lowest TyG index category, the highest TyG index was related to a higher incidence of coronary artery disease (CAD) (3 studies; hazard ratio [HR] = 2.01; 95% confidence interval [CI] 1.68-2.40; I

conclusionsBased on our current evidence, a higher TyG index may be associated with an increased incidence of CAD (moderate certainty), MI (very low certainty) and CVD (very low certainty) in the general population. There is a potential linear association of the TyG index with CAD and the composite CVD incidence. Further prospective studies (especially in non-Asians) are needed to confirm our findings.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseMyocardial InfarctionBlood GlucoseGlucoseHumansProspective StudiesRetrospective StudiesTriglyceridesBlood GlucoseGlucoseTriglyceridesCardiovascular diseaseCoronary artery diseaseMeta-analysisMortalityTriglyceride-glucose index

Identifiers

PMID35778731
PMCPMC9250255

What OpenQuestion holds

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Read underepoch 390

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.