Evidence map›Paper›PMID 42490800›Full record

ArticleJournal of clinical medicine research2026

The Association Between Triglyceride-Glucose Index and Mortality Risk in Cardiovascular Disease Patients: A Meta-Analysis.

Ren Jie Wu, Jie Yu, Ying Zhao, Jie Han, Xing Liang Shi, Jia Bing Wang, Ming Wu Hu, Ting Li

Abstract read
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Article in Journal of clinical medicine research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ren Jie WuDepartment of Cardiovascular Diseases, Hangzhou Xiaoshan Second People's Hospital, Xiaoshan District, Hangzhou, Zhejiang Province, China.
Jie YuDepartment of Cardiovascular Diseases, Hangzhou Xiaoshan Second People's Hospital, Xiaoshan District, Hangzhou, Zhejiang Province, China.
Ying ZhaoHangzhou Ninth People's Hospital, Hangzhou, Zhejiang Province, China.
Jie HanDepartment of Cardiovascular Diseases, Hangzhou Xiaoshan Second People's Hospital, Xiaoshan District, Hangzhou, Zhejiang Province, China.
Xing Liang ShiDepartment of Cardiovascular Diseases, Hangzhou Xiaoshan Second People's Hospital, Xiaoshan District, Hangzhou, Zhejiang Province, China.
Jia Bing WangDepartment of Cardiovascular Diseases, Hangzhou Xiaoshan Second People's Hospital, Xiaoshan District, Hangzhou, Zhejiang Province, China.
Ming Wu HuDepartment of Cardiovascular Diseases, Hangzhou Xiaoshan Second People's Hospital, Xiaoshan District, Hangzhou, Zhejiang Province, China.
Ting LiDepartment of Cardiovascular Diseases, Hangzhou Xiaoshan Second People's Hospital, Xiaoshan District, Hangzhou, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The triglyceride-glucose (TyG) index was proposed as a possible indicator with regard to projecting cardiovascular disease (CVD) outcomes. Nevertheless, its capacity to project outcomes in various CVD patient groups, particularly those without type 2 diabetes mellitus (T2DM), remains uncertain. This meta-analysis is intended to assess the relationship that exists between baseline TyG levels and mortality outcomes in hospitalized CVD patients while examining potential variations in this association across different subgroups. Methods: The authors systematically searched the Embase, PubMed and Web of Science databases for studies evaluating the connection between TyG levels and mortality outcomes in CVD patients. Seventeen studies, including a total of 26,464 participants, were included. The primary findings analyzed were all-cause mortality and cardiovascular mortality. Stratified and sensitivity analyses were performed to evaluate the robustness and generalizability of the findings. Results: Elevated TyG levels were significantly associated with higher risks of both all-cause mortality (hazard ratio (HR) = 1.43; 95% CI, 1.27-1.62; P < 0.001) and cardiovascular mortality (HR = 1.62; 95% CI, 1.33-1.97; P < 0.001) in patients with acute and chronic CVD. However, this association was not significant in patients without T2DM. Dose-response meta-analysis indicated a linear increase in all-cause mortality risk with higher TyG levels. Sensitivity analyses confirmed the robustness of the results, and no significant publication bias was detected. Conclusions: TyG could potentially predict mortality risk in CVD patients, particularly within the Asian population. Additional high-quality, large-scale studies across diverse ethnic groups (such as Caucasians) are needed to validate these results' global generalizability.

Indexed as

Cardiovascular diseaseMeta-analysisMortalityPrognostic markerTriglyceride-glucose indexType 2 diabetes mellitus

Identifiers

PMID42490800
PMCPMC13375415

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