466Fiber optic contact force catheter efficiency and effectiveness in paroxysmal AF ablation from a large, multi-national, prospective registry (ABLATOR)
Bibliographic record
Abstract
Introduction: While the pivotal TOCCASTAR trial provided prospective data on the safety and effectiveness of a contact force (CF) ablation catheter for treatment of paroxysmal AF (PAF) patients, subsequent outcomes from real-world use of this CF catheter by operators with varied ablation experience remain sparse. Purpose: The purpose of the ABLATOR registry was to assess the performance and clinical effectiveness of mapping and ablation technologies available since 2015 in the treatment of AF in real-world settings. Methods: This multi-national, prospective registry enrolled 2035 subjects across 61 sites throughout Europe, Asia, and Canada. All patients underwent AF ablation using advanced mapping and catheter technologies. For this analysis, clinical performance was evaluated for up to 12 months following ablation procedure in subjects undergoing de novo ablation of paroxysmal AF (PAF) using a CF ablation catheter. Descriptive comparisons were made with TOCCASTAR trial procedural data from the same catheter. Results: A total of 473 subjects underwent treatment for PAF using a CF ablation catheter and were included in the analysis (60.2±10.8 years, 67.0% male). In this population, mean CF-guided procedure, RF, and fluoroscopy times were 150.0 minutes, 34.0 minutes, and 15.1 minutes respectively. The mean RF and fluoroscopy times observed in ABLATOR were lower than the median times reported in TOCCASTAR (median 46.5 and 27.0 minutes respectively). This ABLATOR population and the TOCCASTAR study had similar acute clinical success rates (97.5% and 100% respectively) and repeat ablation rates at 12 months (10.6% and 11.0% respectively) in patients treated with a CF catheter. The clinically relevant freedom from AF/AFL/AT at one year as estimated by Kaplan-Meier analysis was 76.9% in the ABLATOR population and 77.9% in the respective TOCCASTAR population (figure).
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".