Ablate and pace for patients with atrial fibrillation: a fragile option?
Notice bibliographique
Résumé
This commentary refers to ‘AV junction ablation and cardiac resynchronization for patients with permanent atrial fibrillation and narrow QRS: the APAF-CRT mortality trial’, by M. Brignole et al., https://doi.org/10.1093/eurheartj/ehab569 and the discussion piece ‘Is APAF-CRT robust enough to change clinical practice?’, by M. Brignole et al., https://doi.org/10.1093/eurheartj/ehac092. In the Ablate and Pace for Atrial Fibrillation—cardiac resynchronization therapy (APAF-CRT) trial, Brignole et al. compared pharmacological rate control (drug) with ablation and biventricular pacing (ablation + CRT) in patients with severely symptomatic AF lasting >6 months, narrow QRS, and at least one prior heart failure hospitalization. In this multicentre, open-label trial, 140 patients were randomized and 7 were excluded from the primary analysis (2 withdrew consent and 5 were lost to follow-up). Of the 133 included in the final intention-to-treat analysis, 70 patients were allocated to pharmacological rate control and 63 to ablation + CRT. The Data Safety Monitoring Board stopped the trial at a median follow-up of 29 months. At the time of termination, the primary endpoint—all-cause mortality—had occurred in 7 patients in the ablation + CRT arm and 20 in the drug arm (hazard ratio: 0.26; 95% confidence interval: 0.10–0.65; P = 0.004). This was lower than the estimated 32 events required for 80% power in detecting a 70% reduction in hazards for mortality at a significance of 0.042.1 Randomization protects against confounding, but it cannot account for the play of chance. Randomized clinical trials (RCTs) in which only a small number of events occur are vulnerable to random error, and the results could change based on the status of a few participants. The fragility index is the minimum number of participants required to change status for a statistically significant result to lose significance. A low fragility index reduces confidence in the treatment effect, regardless of statistical significance.2 This is especially relevant for trials where loss to follow-up exceeds the fragility index.2 The fragility index of the APAF-CRT trial is 2, calculated by iteratively adding events and subtracting non-events from the ablation + CRT group until the P-value exceeded 0.05.1 This indicates that two additional deaths in the ablation + CRT group would have resulted in a loss of statistical significance. According to a review of 399 RCTs from five high-impact journals, this fragility index places the APAF-CRT trial below the 25th percentile among RCTs and calls into question the validity of its results.2 Regardless of methodological rigour, the results of similarly fragile RCTs have subsequently been contrasted by lower or no treatment effects when tested in larger samples. For example, the Leicester Intravenous Magnesium Intervention Trial (n = 2316) had a fragility index of 1, and its results were refuted in a subsequent larger trial and meta-analyses.3,4 Considering the global burden of AF and heart failure, studies that conclusively determine treatments effective to reduce mortality are important. Large RCTs that mitigate the challenges of the fragility associated with smaller studies are required to inform clinical practice. This study by Brignole et al. reinforces the importance of reporting the fragility index of RCTs to support informed clinical decision-making. Conflict of interest: Outside the submitted work, Dr McIntyre reports speaking fees from Servier, Bayer and Boehringer Ingelheim and Dr. Belley-Côté reports grants from Bayer, BMS-Pfizer, and Roche.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,005 | 0,008 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,039 | 0,036 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,005 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».