SynthesisEuropean journal of medical research2025
The correlation between triglyceride glucose index and atrial fibrillation risk: a meta-analysis.
Synthesis in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
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.
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Who cites it
1 citing paper in PubMed.
- Development and validation of an interpretable machine learning model for predicting atrial fibrillation risk in middle-aged and older patients with coronary heart disease.Frontiers in cardiovascular medicine · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe correlation between the triglyceride glucose (TyG) index and atrial fibrillation (AF) risk has been a subject of debate, with existing studies yielding conflicting results. This study aims to explore the effect of the TyG index on the AF risk from a meta-analysis.
methodsA comprehensive literature search was performed in Web of Science, EMBASE, and PubMed from their inception to December 14, 2024. A meta-analysis was conducted on observational studies that reported on the relationship between the TyG index and AF risk. The subgroup analysis and sensitivity analysis were also performed.
resultsIn the meta-analysis, seven studies categorized the TyG index and found that those in the highest category had an elevated AF risk ([hazard ratio]HR = 1.96, 95% [confidence interval]CI 1.23-3.11, I
conclusionAn elevated TyG index is independently and consistently associated with a higher risk of AF. These findings support incorporating the TyG index into routine cardiovascular risk assessment to aid in the early identification and prevention of AF.
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