Effect of Radiofrequency Catheter Ablation for Atrial Fibrillation on Morbidity and Mortality
Bibliographic record
Abstract
BACKGROUND: This study examined the effect of radiofrequency catheter ablation (RFA) on reducing morbidity and mortality among patients with atrial fibrillation (AF). METHODS AND RESULTS: A retrospective cohort of patients with AF without prior stroke or heart failure (HF) who underwent RFA between 2003 and 2009 was identified using Taiwan's National Health Insurance claims database. Outpatients with AF who met the same enrollment criteria but did not receive RFA were matched (≤1:20) by hospitals and dates to serve as controls. Outcomes of interest were death, stroke, or hospitalization for HF. A proportional hazard Cox regression model adjusted by propensity scores (based on age, sex, hypertension, diabetes mellitus, comorbidities, medications, and medical resource utilization) was applied to estimate the hazard ratio and 95% confidence interval. A total of 846 patients with AF who received RFA and 11 324 matched AF controls were included, with a mean follow-up of 3.74 and 3.96 years, respectively. RFA was associated with a lower hazard for stroke (hazard ratio, 0.57; 95% confidence interval, 0.35-0.94; P=0.026). The reduction in the hazard for death and HF did not reach statistical significance (hazard ratio, 0.88; 95% confidence interval, 0.62-1.23; P=0.451 and hazard ratio, 0.78; 95% confidence interval, 0.55-1.12; P=0.185, respectively). Additional analysis using death as a competing risk showed similar results for stroke and HF. CONCLUSIONS: RFA did not reduce mortality or hospitalization for HF during the immediate 3.5-year follow-up. Although a beneficial effect on stroke prevention associated with RFA was suggested, residual confounding attributable to unmeasured factors remains a concern.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".