Association of sarcopenia with atrial fibrillation: protocol for a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Sarcopenia is a clinical syndrome characterized by a significant reduction in muscle mass and strength, typically associated with the ageing process. In recent years, an increasing number of studies have shown that sarcopenia not only affects functional health in the elderly but may also be closely associated with the onset of cardiovascular diseases, particularly atrial fibrillation. However, the association between sarcopenia and atrial fibrillation has not yet been adequately systematically evaluated. Therefore, this study aims to investigate the relationship between sarcopenia and atrial fibrillation through a systematic review and meta-analysis. METHODS: The study will adhere to the PRISMA-P guidelines to ensure a transparent and rigorous methodology and will conduct a comprehensive literature search using databases PubMed, Embase, the Cochrane Library, and Web of Science, with the search period spanning from the establishment of the databases to 15 May 2025. Included will be clinical observational studies that meet the criteria, including prospective cohort studies, and case-control studies. The included studies must explicitly assess the association between sarcopenia and the occurrence of atrial fibrillation. We will assess the risk of bias of all included studies using the Newcastle-Ottawa Scale (NOS) and the AHRQ quality assessment tool. The data for this study will be analyzed using Stata 15. We will employ random-effects models for statistical analysis, along with subgroup analysis, to further explore the potential influence of factors such as age, gender, and disease status on the results. DISCUSSION: The primary objective of this study is to assess the impact of sarcopenia on atrial fibrillation and to analyze their potential association. This study is expected to reveal the potential association between sarcopenia and atrial fibrillation and provide evidence-based support for clinical prevention and treatment. The study results will help promote early identification and intervention for sarcopenia, thereby reducing the risk of atrial fibrillation and improving health outcomes for the elderly population. SYSTEMATIC REVIEW REGISTRATION: Prospero CRD420251054023.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.067 | 0.111 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.023 | 0.033 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.054 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".