Evidence map›Paper›PMID 37845738›Full record

ArticleDiabetology & metabolic syndrome2023

Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study.

Yiming Wan, Ziliang Zhang, Yong Ling, Hui Cui, Zihan Tao, Jianfeng Pei, Aikedan Maimaiti, Haifan Bai, Yiling Wu, Jing Li and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
12.3field-weighted citation impact, top 1% of its field
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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Yiming WanDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Ziliang ZhangShanghai Depeac Biotechnology Co., Ltd, Shanghai, China.
Yong LingDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Hui CuiDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Zihan TaoDepartment of Plastic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China.
Jianfeng PeiDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Aikedan MaimaitiDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Haifan BaiDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Yiling WuSongjiang Center for Disease Control and Prevention, Shanghai, China.
Jing LiSongjiang District Zhongshan Street Community Healthcare Center, Shanghai, China.
Genming ZhaoDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Maryam ZaidDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China. maryzaid@fudan.edu.cn.
Fudan University · CNSongjiang District Central Hospital · CNChanghai Hospital · CNShanghai Public Health Clinical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of triglyceride-glucose (TyG) index, a surrogate marker for insulin resistance, on the risk of cardiovascular disease (CVD) in general populations remains controversial. We aimed to comprehensively study the relationship between TyG index with the risk of incident CVD events in the general population in Shanghai.

methodsA total of 42,651 participants without previous history of CVD events from Shanghai Suburban Adult Cohort and Biobank (SSACB) were included. SSACB was a community-based natural population cohort study using multistage cluster sampling method. TyG index was calculated as Ln [fasting serum triglyceride (mg/dL) * fasting blood glucose (mg/dL)/2]. Kaplan-Meier curves, log-rank test and cox proportional hazards model were used to calculate the association between TyG index and incident CVD, including stroke and coronary heart disease (CHD). Restricted cubic spline analyses were used to determine whether there was a non-linear relationship between TyG index and CVD events.

resultsDuring a median follow-up of 4.7 years, 1,422 (3.3%) individuals developed CVD, including 674 (1.6%) cases of stroke and 732 (1.7%) cases of CHD. A one unit increment higher TyG index was associated with [HR(95%CI)] 1.16(1.04-1.29) in CVD and with 1.39(1.19-1.61) in stroke. Only linear relationships between TyG and CVD/stroke were observed, while no relationship was observed with CHD after adjustments for confounders. In subgroup analyses, younger (< 50y) and diabetic participants had higher risk of CVD than their counterpart groups, while hypertensive and dyslipidemic participants depicted lower risks than their counterparts.

conclusionElevated TyG index was associated with a higher risk of incident CVD and stroke. TyG index may help in the early stage of identifying people at high risk of CVD.

Indexed as

Cardiovascular diseaseCohort studiesTriglyceride-glucose index

Identifiers

PMID37845738
PMCPMC10580532
OpenAlexW4387663954

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.