Evaluating Therapies to Prevent Future Stroke in Patients with Patent Foramen Ovale-Related Strokes – The SCOPE Study
Notice bibliographique
Résumé
Note: The material presented in this section previously appeared in the following peer-reviewed publication: Kent DM, Saver JL, Kasner SE, et al. .. Heterogeneity of treatment effects in an analysis of pooled individual patient data from randomized trials of device closure of patent foramen ovale after stroke. JAMA. 2021;326(22):2277-2286. doi:10.1001/jama.2021.20956 Background: Patent foramen ovale (PFO)-associated strokes comprise approximately 10% of ischemic strokes in adults aged 18 to 60 years. Despite the overall beneficial effects of closure device placement in patients with a first PFO-associated cerebral ischemic event, the best treatment option for any individual patient encountered in routine clinical practice is often quite unclear. Objective: The objective of this study was to evaluate the heterogeneity of treatment effect of PFO closure on stroke recurrence based on previously developed scoring systems. Methods: Individual patient data were pooled from 6 randomized clinical trials that compared PFO closure plus medical therapy vs medical therapy alone in patients with PFO-associated stroke, which involved a total of 3740 participants. The trials were conducted worldwide from 2000 to 2017. Comparisons were made between PFO closure plus medical therapy vs medical therapy alone. Subgroup analyses used the Risk of Paradoxical Embolism (RoPE) score (a 10-point score in which higher scores reflect younger age and the absence of vascular risk factors) and the PFO-Associated Stroke Causal Likelihood (PASCAL) algorithm, which combines the RoPE score with high-risk PFO features (either an atrial septal aneurysm or a large shunt) to classify patients into 3 categories of causal relatedness: “unlikely,” “possible,” and “probable.” The main outcome was ischemic stroke. Results: Over a median follow-up of 57 months (interquartile range, 24-64 months), 121 outcomes occurred in 3740 patients. The annualized incidence of stroke with medical therapy was 1.09% (95% CI, 0.88%-1.36%) and with device closure was 0.47% (95% CI, 0.35%-0.65%); the adjusted hazard ratio (HR) was 0.41 (95% CI, 0.27-0.60). Subgroup analyses showed statistically significant interaction effects. Patients with low vs high RoPE score had HRs of 0.61 (95% CI, 0.37-1.00) and 0.21 (95% CI, 0.11-0.42), respectively (P for interaction = .02). Patients classified under PASCAL as unlikely, possible, and probable had HRs of 1.14 (95% CI, 0.53-2.46), 0.38 (95% CI, 0.22-0.65), and 0.10 (95% CI, 0.03-0.35), respectively (P for interaction = .003). The 2-year absolute risk reduction was −0.7% (95% CI, −4.0% to 2.6%), 2.1% (95% CI, 0.6%-3.6%), and 2.1% (95% CI, 0.9%-3.4%) in the unlikely, possible, and probable PASCAL categories, respectively. Device-associated adverse events were generally higher among patients classified as unlikely; the absolute risk increases in atrial fibrillation beyond day 45 postrandomization with device were 4.41% (95% CI, 1.02%-7.80%), 1.53% (95% CI, 0.33%-2.72%), 0.65% (95% CI, −0.41% to 1.71%) in the unlikely, possible, and probable PASCAL categories, respectively. Conclusions: Among patients aged 18 to 60 years with PFO-associated stroke, risk reduction for recurrent stroke with device closure varied across groups classified by their probabilities that the stroke was causally related to the PFO. Application of these classification systems has the potential to guide individualized decisions regarding the selection of device closure vs medical therapy, supporting patient-centered decision-making for patients with PFO-associated cerebral ischemic events. Limitations: Some limitations of the study were the following: data were missing with respect to functional outcomes with recurrent stroke; trials had heterogenous definitions of key variables; the original PASCAL classification could not be evaluated; and several questions remain unaddressed, such as the best type of antithrombotic therapy, the role of new PFO devices, and the role of closure for patients older than 60 years.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».