ArticleFrontiers in cardiovascular medicine2023
Association of predicted body composition with occurrence of atrial fibrillation.
Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Association between sarcopenia and atrial fibrillation: a meta-analysis.Frontiers in medicine · 2026Pooled it
- Effect of sarcopenia on risk of atrial fibrillation: a systematic review and meta-analysis of observational studies.Frontiers in cardiovascular medicine · 2026Review
- Improvement in proteinuria attenuates the occurrence of venous thromboembolism: A population-based cohort study.Scientific reports · 2025Article
- Evaluation of a Computed Tomography-based Technique for Predicting Atrial Fibrillation Recurrence Following Ablation Using an Adjusted Skeletal Muscle Index.Reviews in cardiovascular medicine · 2025Article
- Elucidating the Linkage Between Obesity-Related Body Fat Indicators and Atrial Fibrillation: Supported by Evidence From Mendelian Randomization and Mediation Analyses.Clinical cardiology · 2025Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Body mass index (BMI) is insufficient evidence as a risk factor for numerous health disorders. Body composition may be more appropriate for confirming the association with cardiovascular diseases, including atrial fibrillation (AF). This study aimed to examine the association between body composition and the occurrence of AF. Methods: A total of 2,673,108 participants (48.6% women) without AF at baseline from the Korean national health insurance data were included. Body composition including appendicular skeletal muscle mass, body fat mass, and lean body mass were indirectly measured through validated anthropometric prediction equations. The diagnosis of AF and comorbidities were defined. Results: With a median of 9.5 (interquartile range 9.2-10.1) years' follow-up, 25,841 (0.96%) cases of incident AF were included. In multivariable analysis, higher appendicular skeletal muscle was related to low risk of AF [hazard ratio (HR) 0.829, 95% confidence interval (CI) 0.753-0.912 for men (fifth quintile) and HR 0.888, 95% CI 0.792-0.995 for women (fifth quintile)]. In contrast, a higher body fat mass [HR 1.345, 95% CI 1.221-1.483 for men (fifth quintile) and HR 1.420, 95% CI 1.274-1.591 for women (fifth quintile)] and lean body mass [HR 2.241, 95% CI 2.182-2.303 for men (fifth quintile) and HR 1.516, 95% CI 1.368-1.667 for women (fifth quintile)] were associated with the occurrence of AF. Conclusions: In this study, body composition parameters were associated with the occurrence of AF. It should be noted that when appendicular skeletal muscle mass decreases and body fat mass and lean body mass increase, the risk of AF may be increased in general population except underweighted BMI group.
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