Evidence map›Paper›PMID 40087495›Full record

ArticleScientific reports2025

Association between TyG index with obesity indicators and coronary heart disease: a cohort study.

Ying Miao, Yu Wang, Qin Wan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline 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

3 authors.

Ying MiaoDepartment of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Yu WangDepartment of Cardiology, Luzhou People's Hospital, Luzhou, China.
Qin WanDepartment of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, China. wanqin3@126.com.

Funding

Health Commission of Sichuan Province 2023-1501Luzhou Medical Association 2024-YXXM-011Southwest Medical University 2019SQN013
6 · The paper itself

Abstract

The potential of utilizing the Triglyceride Glucose Index (TyG), along with its combination with obesity indicators, for predicting the risk of coronary heart disease (CHD) in the middle-aged and elderly population remains uncertain. This research aims to conduct a cohort study to assess the predictive capacity of the TyG and its combination with obesity indicators in forecasting the 10-year incidence of new-onset CHD among the middle-aged and elderly population in the Luzhou region. The study population was derived from the The China Cardiometabolic Disease and Cancer Cohort (4C) Study, comprising 8647 ordinary residents meeting specific criteria. The subjects were grouped based on quartiles of TyG, TyG-WC, TyG-WtHR, TyG-BMI, and TyG-WHR, and the occurrence of new-onset coronary heart disease was observed over a 10-year period. The study comprised 8647 participants, with 484 developing new-onset CHD, resulting in an incidence rate of 5.5% of the overall follow-up population. The comparison of new-onset CHD across quartiles of different indicators revealed a statistically significant difference (P < 0.001), with the order being the 4th quartile > 3rd quartile > 2nd quartile > 1st quartile. Cox proportional hazards regression analysis results indicated that, after adjusting for multiple influencing factors, the risk of new-onset CHD gradually increased with the quartiles of the 5 indicators. Specifically, when grouped according to TyG and TyG-WC quartiles, a statistically significant difference (P < 0.05) was observed between the 3rd and 4th quartiles compared to the 1st quartile. The ROC curve analysis results demonstrate that TyG-WC (area under the curve 0.608, P < 0.001) and TyG-WtHR (area under the curve 0.608, P < 0.001) exhibit superior predictive value for new-onset coronary heart disease compared to TyG (area under the curve 0.568, P < 0.001), TyG-BMI (area under the curve 0.576, P < 0.001), and TyG-WHR (area under the curve 0.595, P < 0.001). 1. TyG, TyG-WC, TyG-WtHR, TyG-BMI, and TyG-WHR demonstrate varying degrees of correlation with the incidence of new-onset coronary heart disease in the middle-aged and elderly population. 2. Specifically, TyG-WC may serve as a significant predictive factor for the occurrence of coronary heart disease in the elderly population.

Indexed as

Blood GlucoseCoronary DiseaseObesityTriglyceridesAgedBody Mass IndexChinaCohort StudiesFemaleHumansIncidenceMaleMiddle AgedRisk FactorsBlood GlucoseTriglyceridesCoronary heart diseaseInsulin resistanceObesityTriglyceride glucose indexTyG-WC

Identifiers

PMID40087495
PMCPMC11909264

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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.