Evidence map›Paper›PMID 38017519›Full record

ArticleCardiovascular diabetology2023

Triglyceride-glucose index, renal function and cardiovascular disease: a national cohort study.

Cancan Cui, Lin Liu, Te Zhang, Ling Fang, Zhanhao Mo, Yitian Qi, Jia Zheng, Zhijia Wang, Haikun Xu, Han Yan and 3 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 2 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

107 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. [Causal relationship between the triglycerideZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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47 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

13 authors.

Cancan CuiChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Lin LiuChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Te ZhangChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Ling FangChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Zhanhao MoChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Yitian QiChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Jia ZhengChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Zhijia WangChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Haikun XuChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Han YanChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Siqi YueChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Xuekui WangChina-Japan Union Hospital of Jilin University, Jilin University, Changchun, China. wangxuekui@jlu.edu.cn.
Zhiyuan WuCentre for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia. zwu0@our.ecu.edu.au.ORCID 0000-0001-5694-2441

Funding

Jilin Province Science and technology Foundation 20200201312JCJilin Province Science and technology Foundation 20200901019SFNational Natural Science Foundation of China 82072911
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index is a predictor of cardiovascular diseases; however, to what extent the TyG index is associated with cardiovascular diseases through renal function is unclear. This study aimed to evaluate the complex association of the TyG index and renal function with cardiovascular diseases using a cohort design.

methodsThis study included participants from the China Health and Retirement Longitudinal Study (CHARLS) free of cardiovascular diseases at baseline. We performed adjusted regression analyses and mediation analyses using Cox models. The TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Renal function was defined by the estimated glomerular filtration rate (eGFR).

resultsA total of 6 496 participants were included in this study. The mean age of the participants was 59.6 ± 9.5 years, and 2996 (46.1%) were females. During a maximum follow-up of 7.0 years, 1 996 (30.7%) people developed cardiovascular diseases, including 1 541 (23.7%) cases of heart diseases and 651 (10.0%) cases of stroke. Both the TyG index and eGFR level were significantly associated with cardiovascular diseases. Compared with people with a lower TyG index (median level) and eGFR ≥ 60 ml/minute/1.73 m

conclusionsThe combination of a higher TyG index and lower eGFR level was associated with the highest risk of cardiovascular diseases. Renal function could mediate the association between the TyG index and cardiovascular risk.

Indexed as

Cardiovascular DiseasesGlucoseAgedBiomarkersBlood GlucoseCohort StudiesFemaleHumansKidneyLongitudinal StudiesMaleMiddle AgedRisk AssessmentRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesCardiovascular diseaseeGFRMediation analysisRenal functionTriglyceride-glucose (TyG) index

Identifiers

PMID38017519
PMCPMC10685637

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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.