Subgroup Analysis of Patients with Cancer in Xalia - a Non-Interventional Study of Rivaroxaban in Routine Treatment of Deep Vein Thrombosis
Notice bibliographique
Résumé
Abstract Background: XALIA is a prospective, non-interventional study of rivaroxaban in the treatment of acute deep vein thrombosis. The overall XALIA results showed that rivaroxaban was associated with similarly low rates of major bleeding and symptomatic recurrent venous thromboembolism (VTE) as standard anticoagulation. A subset of patients in XALIA had active cancer at the time of enrolment into the study. Purpose: To describe the demographics, clinical characteristics, treatment strategies and outcomes of patients in XALIA with cancer and VTE. The primary outcomes were major bleeding, recurrent VTE and all-cause mortality. Methods: Patients with deep vein thrombosis with or without concomitant pulmonary embolism aged ≥18 years who had active cancer and were scheduled to receive ≥3 months of anticoagulation with rivaroxaban or standard therapy were eligible. Therapy type, dose and duration were at the physician's discretion. For the purpose of this substudy, we defined the following treatment cohorts: rivaroxaban cohort (patients treated with rivaroxaban alone or who received heparin/fondaparinux for ≤48 hours before switching to rivaroxaban); early switchers cohort (patients treated with rivaroxaban who received heparin/fondaparinux for >48 hours-14 days and/or a vitamin K antagonist [VKA] for 1-14 days before changing to rivaroxaban); standard anticoagulation cohort (patients treated with heparin/fondaparinux and a VKA or a VKA only); and heparin/fondaparinux cohort (patients treated with heparin/fondaparinux alone). Results: Of 5136 patients in XALIA who received study medication, 587 (11.4%) had active cancer at baseline. Of these, 146 (24.9%) received rivaroxaban, 30 (5.1%) were early switchers, 167 (28.4%) received standard anticoagulation (of which 26 [4.4%] received a VKA only) and 244 (41.6%) received heparin/fondaparinux only, of whom 223 (38.0%) received low molecular weight heparin and the remainder other heparins or fondaparinux. Demographics are shown in Table 1. The most common type of active cancer at baseline in all cohorts was genitourinary, with the exception of the heparin/fondaparinux cohort where gastrointestinal cancer was the most common type (Table 2). The incidence rates for the primary outcomes for each cohort are shown in Figure 1. The rates of major bleeding were highest in the standard anticoagulation cohort (n=8 [4.8%]) and lowest in the early switchers (no major bleeding events occurred). The rates of recurrent VTE were similar in the in the rivaroxaban, early switcher and standard anticoagulation cohorts (n=5 [3.4%], n=1 [3.3%] and n=6 [3.6%], respectively) and were highest in the heparin/fondaparinux cohort (n=12 [4.9%]). All-cause mortality was highest in the heparin/fondaparinux cohort (n=61 [25.0%]) and lowest in the early switchers (no deaths occurred). Conclusions: In the real-world XALIA study, 38.0% of patients with cancer received treatment with low molecular weight heparin, which was in line with guidelines. The remaining patients received rivaroxaban, standard anticoagulation or were early switchers. For the three primary outcomes, the lowest incidence rates were observed in the early switcher cohort. The highest rates were in the standard anticoagulation cohort for major bleeding and the heparin/fondaparinux cohort for recurrent VTE and all-cause mortality; rates for all three primary outcomes were low in the rivaroxaban cohort, suggesting that rivaroxaban may be a safe and effective treatment option for patients with VTE and active cancer. Figure 1 Primary outcomes in patients with active cancer at baseline by treatment group. VTE, venous thromboembolism. Figure 1. Primary outcomes in patients with active cancer at baseline by treatment group. / VTE, venous thromboembolism. Disclosures Turpie: Janssen Research & Development, LLC: Consultancy, Honoraria; Bayer Pharma AG: Consultancy, Honoraria. Mantovani:Janssen-Cilag Ltd: Research Funding; Boehringer Ingelheim: Research Funding; Daiichi Sankyo: Consultancy; Bayer Pharma AG: Consultancy; Pfizer Inc: Research Funding. Haas:Sanofi SA: Consultancy; Pfizer Inc: Consultancy; Daiichi Sankyo: Consultancy; Bristol-Myers Squibb: Consultancy; Bayer Pharma AG: Consultancy; Aspen Pharmacare: Consultancy. Kreutz:Bayer Pharma AG: Honoraria; Servier Laboratories Ltd: Consultancy; Lundbeck Ltd: Consultancy; Daiichi Sankyo: Consultancy; Berlin-Chemie Menarini: Consultancy; Bayer Pharma AG: Consultancy; Bristol-Myers Squibb: Honoraria; Daiichi Sankyo: Honoraria. Monje:Bayer Pharma AG: Employment. Schneider:Bayer Pharma AG: Employment. van Eickels:Bayer Pharma AG: Employment. Gebel:Bayer Pharma AG: Employment. Ageno:Boehringer Ingelheim: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Bayer Pharmaceuticals: Research Funding; Daiichi Sankyo: Consultancy, Honoraria; Bayer Pharma AG: Consultancy, Honoraria.
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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,005 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 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 ».