ArticleScientific reports2025
Association between the triglyceride-glucose index and silent myocardial infarction in the general population.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Silent Myocardial Infarction Revisited: Immuno-metabolic Mechanisms, Multimodal Biomarkers, and Translational Diagnostics.Journal of cardiovascular translational research · 2026Review
- The Correlation Between Triglyceride-Glucose-Body Mass Index, and the Risk of Silent Myocardial Infarction: Construction of a Predictive Model.Reviews in cardiovascular medicine · 2025Article
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to explore the relationship between the triglyceride-glucose (TyG) index and silent myocardial infarction (SMI) in the general population, with a focus on elucidating potential links and contributing to the understanding of risk factors for undetected cardiac events. This prospective cohort study was carried out within a community-based population, using data from the Atherosclerosis Risk in Communities study in the United States. The dataset included information on demographics, cardiovascular risk factors, blood lipids, liver and kidney function, and other variables. Participants were categorized into four quartiles based on their TyG index scores. Cox regression analysis was used to examine the relationship between the different ranges of TyG indices and SMI. In total, 14,211 community residents were enrolled and followed up for 36 years. Among them, 7,316 (51.48%) developed SMI. TyG index measurements were divided into quartiles: Q1 (≤ 8.26), Q2 (8.26-8.62), Q3 (8.62-9.02), and Q4 (≥ 9.02). Restricted cubic spline curves indicated that higher TyG indices correlated with a greater risk of SMI. Results of the Kaplan-Meier analysis suggested that participants with a higher TyG index had a lower cumulative survival rate for SMI (P < 0.001). Through multivariate Cox regression analysis, the TyG index was identified as an independent predictor of SMI risk (P < 0.001). Further stratified analyses reinforced the link between the TyG index and the risk of SMI, demonstrating its consistent influence across diverse population subsets. Mediation analysis revealed significant effects of hypertension, diabetes, body mass index and sex on SMI risk. The overall effect sizes ranged from 1.77 to 1.95, with direct effects accounting for 52.7-99.6% and mediation effects ranging from 0.4 to 47.3%. In the general population, the TyG index as an independent predictor of SMI risk, emphasizing its importance in cardiovascular disease assessment.
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Registered trials
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