Catheter and Surgical Ablation for Atrial Fibrillation
Bibliographic record
Abstract
BACKGROUND: Ablation of atrial fibrillation can restore normal heart rhythm, but its effect on clinical outcomes is uncertain. PURPOSE: To determine the effect of ablation on ischemic stroke at more than 30 days (primary outcome). DATA SOURCES: Search of 9 databases without language restrictions from 1 January 1987 to 13 September 2024, and bridge search of 2 databases to 1 May 2025. STUDY SELECTION: Randomized controlled trials of catheter or surgical ablation versus no ablation that had at least 1 month of follow-up and reported stroke and/or mortality. DATA EXTRACTION: Dual independent data extraction and risk-of-bias assessment. DATA SYNTHESIS: Compared with medical therapy, catheter ablation reduced risks for ischemic stroke after 30 days (relative risk [RR], 0.63 [95% CI, 0.43 to 0.92]), mortality (RR, 0.73 [CI, 0.60 to 0.88]), and heart failure (HF) hospitalization (RR, 0.68 [CI, 0.55 to 0.85]). However, catheter ablation increased the RR for ischemic stroke at or before 30 days (6.81 [CI, 1.56 to 29.8]) such that the RRs were 0.77 (CI, 0.55 to 1.09) for any ischemic stroke and 0.77 (CI, 0.57 to 1.05) for all strokes. Surgical ablation reduced the RRs for ischemic stroke (0.54 [CI, 0.34 to 0.86]) and stroke from any cause (0.54 [CI, 0.35 to 0.82]) but had uncertain benefit for other outcomes; RRs were 0.63 (CI, 0.37 to 1.06) for ischemic stroke after 30 days, 0.90 (CI, 0.70 to 1.15) for mortality, and 0.90 (CI, 0.60 to 1.35) for HF hospitalization. LIMITATIONS: Clinical heterogeneity of trials, lack of participant-level data, and inclusion of unblinded trials. CONCLUSION: Catheter ablation reduced the risks for ischemic stroke at more than 30 days, mortality, and HF hospitalization. Surgical ablation had uncertain benefit, except for stroke. PRIMARY FUNDING SOURCE: National Center for Advancing Translational Sciences of the National Institutes of Health (Awards TL1TR002344 and UL1TR002345). (PROSPERO: CRD42023409751).
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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 | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".