Triglyceride-glucose index and its related factors may be predictors for cardiovascular disease among Chinese postmenopausal women: a 12-year cohort study

The TyG index and its correlated factors can effectively predict CVD in Chinese postmenopausal women. TyG-WHtR has the most potent ability to predict CVD among postmenopausal women.

Authors

Institutions

Publication Details

Journal
Lipids in Health and Disease
Published
2025-06-19
DOI
https://doi.org/10.1186/s12944-025-02643-1
Citations
8
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
10.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Triglyceride-glucose index and its related factors may be predictors for cardiovascular disease among Chinese postmenopausal women: a 12-year cohort study

Rongdi Xu, Meijing Wu, Weiyan Tu, Na Luo et al.
8 citations
Lipids in Health and Disease
Diabetes, Cardiovascular Risks, and Lipoproteins
10.36
article

Triglyceride-glucose index and its related factors may be predictors for cardiovascular disease among Chinese postmenopausal women: a 12-year cohort study

Rongdi Xu, Meijing Wu, Weiyan Tu, Na Luo, Dan Wang, Yong Zhou, Jing Ning
article en
8 citations

Abstract

The TyG index and its correlated factors can effectively predict CVD in Chinese postmenopausal women. TyG-WHtR has the most potent ability to predict CVD among postmenopausal women.

Lipids in Health and DiseaseVol. 24(1)
Shanghai Jiao Tong University (CN), Shanghai First People's Hospital (CN), Shanghai First Maternity and Infant Hospital (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 2%
Diabetes, Cardiovascular Risks, and Lipoproteins
10.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.