Improvement in hard outcomes following catheter ablation for atrial fibrillation: the debate is far from over
Bibliographic record
Abstract
We write to inquire about three aspects of the ‘Long-term observation of catheter ablation vs. pharmacotherapy in the management of persistent and long-standing persistent atrial fibrillation’ trial from Dr Wu and colleagues.1 In this randomized controlled trial (RCT), the authors found that a catheter ablation (CA)-based strategy in patients with persistent atrial fibrillation (AF) was associated with a significantly lower incidence of arrhythmia recurrence, as well as lower rates of stroke and new-onset heart failure when compared to pharmacological therapy. While these findings are consistent with recent data from the EAST AFNET 4 trial, which also found benefit in cardiovascular outcomes from rhythm control, there were several notable observations in Wu et al that warrant further discussion. There is now a debate amongst the cardiology community regarding the potential impact of AF CA on ‘hard’ endpoints. Publication of the large benefits seen in CAPA will likely influence this debate...
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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 | 0.076 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.031 | 0.032 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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".