Evidence map›Paper›PMID 41246021›Full record

ArticleFrontiers in cardiovascular medicine2025

Association between the triglyceride-glucose index and the risk of left ventricular aneurysm formation among patients with acute ST-segment elevation myocardial infarction.

Dong Hu, Jing Zhao, Tin Huang, Qinshuo Zhao, Man-Hua Chen

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Dong HuDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jing ZhaoDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tin HuangDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qinshuo ZhaoDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Man-Hua ChenDepartment of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The triglyceride-glucose (TyG) index has been closely associated with a range of cardiovascular diseases. However, the association between the TyG index and left ventricular aneurysm (LVA) formation in patients with acute ST-segment elevation myocardial infarction (STEMI) who underwent primary percutaneous coronary intervention (PCI) remains unknown. Methods: This study recruited 551 patients in the first cohort and 471 patients in the validation cohort. To determine the independent risk factors associated with LVA formation, a multivariable logistic regression analysis was conducted. The predictive capability of both the TyG index and the composite variable for LVA formation was evaluated through the use of ROC curve analysis. Results: The prevalence of LVA was found to be 14.5% in the first cohort and 13.6% in the validation cohort. In both cohorts, a higher TyG index correlated with an increased incidence of LVA (20.5% vs. 8.0%, Discussion: A higher TyG index was independently linked to the development of LVA in patients with acute STEMI who received primary PCI.

Indexed as

acute ST-segment elevation myocardial infarctionleft ventricular aneurysmprimary percutaneous coronary interventionrisk predictiontriglyceride-glucose index

Identifiers

PMID41246021
PMCPMC12611940

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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.