Evidence mapPaperPMID 40759963Full record

ArticleCardiovascular diabetology2025

Predictive value of the combined triglyceride-glucose and frailty index for cardiovascular disease and stroke in two prospective cohorts.

Yi-Chang Zhao, Shi-Qi Wu, Jia-Kai Li, Zhi-Hua Sun, Bi-Kui Zhang, Rao Fu, Miao Yan

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Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi-Chang Zhao *Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan Province, People's Republic of China.
Shi-Qi Wu *Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan Province, People's Republic of China.
Jia-Kai LiDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan Province, People's Republic of China.
Zhi-Hua SunDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan Province, People's Republic of China.
Bi-Kui ZhangDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan Province, People's Republic of China.
Rao FuDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan Province, People's Republic of China.
Miao YanDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan Province, People's Republic of China. yanmiao@csu.edu.cn.

Funding

Additional funding was provided by the Research Project established by the Chinese Pharmaceutical Association Hospital Pharmacy Department CPA-Z05-ZC-2024002Teaching Reform Program for Graduate Education at Central South University 2023JGB039the Hunan Provincial Degree and Graduate Education Reform Project 2023JGYB041the Hunan Provincial Health High-Level Talent Scientific Research Project R2023061the Postgraduate Innovative Project of Central South University 2024XQLH030
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index is a validated surrogate for insulin resistance, while frailty reflects cumulative physiological decline. The combined impact of TyG-Frailty Index (TyGFI) has not been adequately explored. This study aimed to investigate the association between TyGFI and the risk of cardiovascular disease (CVD) and stroke.

methodsA total of 5448 participants from the China Health and Retirement Longitudinal Study (CHARLS) and 1139 participants from the U.S. National Health and Nutrition Examination Survey (NHANES) were included. Multivariable logistic regression models were used to estimate associations with CVD and stroke, adjusting for demographic, clinical, and lifestyle covariates. Restricted cubic spline (RCS) and subgroup analyses were employed to examine dose-response relationships and interaction effects.

resultsHigher TyGFI levels were associated with older age, adverse metabolic parameters, and increased prevalence of hypertension, diabetes, and dyslipidemia. In fully adjusted models, the highest TyGFI quartile was significantly associated with increased risks of CVD (CHARLS: OR 15.09, 95% CI 9.65-23.60; NHANES: OR 4.98, 95% CI 2.04-12.19) and stroke (CHARLS: OR 21.12, 95% CI 6.44-69.23; NHANES: OR 12.98, 95% CI 2.58-65.17), with consistent dose-response trends confirmed by RCS analyses. Subgroup analyses further demonstrated the robustness of these associations across diverse demographic and clinical strata.

conclusionsTyGFI is a strong and independent predictor of CVD and stroke in two nationally representative cohorts. By integrating metabolic and functional risk dimensions, TyGFI provides a more comprehensive risk stratification tool, with significant implications for early identification and prevention of cardiovascular events in aging populations.

Indexed as

Blood GlucoseCardiovascular DiseasesFrail ElderlyFrailtyStrokeTriglyceridesAgedAged, 80 and overAge FactorsBiomarkersChinaFemaleHeart Disease Risk FactorsHumansLongitudinal StudiesMaleBiomarkersBlood GlucoseTriglyceridesCardiovascular diseaseFrailty indexPopulation-based cohortStrokeTriglyceride-glucose index

Identifiers

PMID40759963
PMCPMC12323107

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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 Socratic graph.