Peripheral artery disease and clinical outcomes in patients with atrial fibrillation: A systematic review and meta‐analysis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac rhythm disturbance and leads to morbidity and mortality. Peripheral artery disease (PAD) is associated with atherosclerotic risk factors and always classified as a vascular disease and deemed to be a bad complication of AF. In patients with AF, the risk and prognostic value of PAD have not been estimated comprehensively. HYPOTHESIS: PAD is associated with all-cause mortality, cardiovascular (CV) mortality, and other outcomes in patients with AF. METHODS: statistic. The fixed-effects model was used for low to moderate heterogeneity studies, and the random-effects model was used for high heterogeneity studies. RESULTS: Eight prospective studies (Newcastle-Ottawa score range, 7-8) with 39 654 patients were enrolled. We found a significant association between PAD and all-cause mortality (hazard ratio [HR], 1.42; 95% confidence interval [CI], 1.25-1.62; p < .001), CV mortality (HR, 1.64; 95% CI, 1.32-2.05; p < .001) and MACE (HR, 1.75; 95% CI, 1.38-2.22; p < .001) in patients with AF. No significant relationship was found in major bleeding (HR, 1.22; 95% CI, 0.95-1.57; p = 0.118), myocardial infarction (MI) (HR, 2.07; 95% CI, 1.17-3.67; p = .038), and stroke (HR, 1.14; 95% CI, 0.87-1.50, p = 0.351). CONCLUSIONS: PAD is associated with an increased risk of all-cause mortality, CV mortality, and MACE in patients with AF. However, no significant association was found with major bleeding, MI, and stroke.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.022 | 0.008 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it