Evidence map›Paper›PMID 42569452›Full record

ArticleFrontiers in cardiovascular medicine2026

Reassessing of the incremental predictive value of triglyceride-glucose index beyond traditional cardiovascular risk factors: a cohort study based on the China health and nutrition survey and meta-analysis.

Fang Liu, Zhipeng Zhao, Haidan Zhao

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 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

What it found

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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

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Fang LiuDepartment of Nephrology, Peking University Shougang Hospital, Peking, China.
Zhipeng ZhaoDepartment of Nephrology, Peking University Shougang Hospital, Peking, China.
Haidan ZhaoDepartment of Nephrology, Peking University Shougang Hospital, Peking, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to explore whether incorporating the triglyceride-glucose (TyG) index into the Framingham Risk Score (FRS) can enhance discriminative performance using raw data from the China Health and Nutrition Survey (CHNS) cohort, and to systematically quantify its incremental predictive value through a meta-analysis. Methods: Participants were adults aged 45 to 80 years without baseline cardiovascular disease (CVD). Incident CVD was defined as new diagnoses of myocardial infarction or stroke. Cox regression was used to examine the association between TyG and CVD, and the results were expressed as hazard ratios (HR) with 95% confidence intervals (CI). While the incremental predictive value of TyG added to FRS was assessed via C-index, integrated discrimination improvement (IDI) and net reclassification improvement (NRI). Restricted cubic splines in Poisson models explored non-linearity. For the meta-analysis, we included effect estimates for the incremental value of the TyG index. Results: The highest TyG quartile was significantly associated with higher risks of CVD (HR = 2.073; 95% CI: 1.233 to 3.488) and stroke (HR = 2.078; 95% CI: 1.428 to 5.521), with a non-linear dose-response relationship ( Conclusions: While the TyG index shows a significant statistical association with CVD risk, its incremental predictive value beyond established FRS factors is minimal at the cohort level and negligible at the meta-analytic level. These findings suggest that the TyG index, despite being a significant risk marker, may not materially improve the predictive performance of existing cardiovascular risk scores.

Indexed as

cardiovascular diseaseframingham risk scoreinsulin resistancemeta analysistriglyceride-glucose index

Identifiers

PMID42569452
PMCPMC13449919

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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.