Rhythm vs Rate Control Strategies for Perioperative Atrial Fibrillation After Noncardiac Surgery: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Background: For patients with perioperative atrial fibrillation (POAF) after noncardiac surgery, earlier conversion to sinus rhythm might improve outcomes. The efficacy of a rhythm vs rate control strategy for the acute management of POAF remains uncertain. Methods: We searched databases for randomized controlled trials (RCTs) and observational studies that included patients with POAF after noncardiac surgery and reported outcomes for patients acutely treated with a rhythm control strategy vs either a rate control or no treatment strategy. Studies were pooled using random effects models. Results: Of the observational studies, a rhythm control strategy was associated with higher conversion rates to sinus rhythm compared with a rate control or no treatment strategy (risk ratio [RR], 1.93; 95% confidence interval [CI], 1.25-2.97; 9 studies; N = 591). Compared with a rate control or no treatment strategy, a rhythm control strategy was not associated with differences in length of hospital stay (mean difference, -1.67 days; 95% CI, -7.10 to 3.76; 2 studies), length of intensive care stay (mean difference, -1.90 days; 95% CI, -7.62 to 3.82; 1 study), or all-cause mortality (RR, 1.12; 95% CI, 0.62-2.00; 5 studies). In an RCT that compared amiodarone vs magnesium, the RR was 0.56 for conversion to sinus rhythm (95% CI, 0.31-1.03; N = 34). Conclusions: A rhythm control strategy was associated with greater success rates for conversion to sinus rhythm compared with a rate control or no treatment strategy. However, the observational studies were of low quality and only 1 small RCT was identified, and few data were available for other outcomes.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.035 | 0.016 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".