Edoxaban For Long-Term Treatment Of Venous Thromboembolism In Cancer Patients
Notice bibliographique
Résumé
Abstract Low-molecular-weight heparin (LMWH) is recommended for long-term anticoagulant therapy in cancer patients with venous thromboembolism (VTE). These patients have been mostly excluded from clinical trials comparing new oral anticoagulants with vitamin-K antagonists. Hokusai-VTE was a global randomized, double-blind, non-inferiority trial (margin 1.5) that compared edoxaban, an oral factor Xa inhibitor, with warfarin for long-term therapy in 8,292 patients with acute symptomatic proximal deep-vein thrombosis and/or pulmonary embolism; all patients received initial LMWH treatment for at least 5 days. Patients with active cancer in whom long-term treatment with LMWH was anticipated were excluded, but patients with a history of cancer or with active cancer were eligible if long-term LMWH treatment was not planned due to availability, physician judgment or patient preference; the analysis of outcomes in these patients was pre-specified before the trial. The edoxaban dose was 60 mg once daily (30 mg in patients with body weight less than 60 kg or creatinine clearance 30 to 50 ml/min). Warfarin was adjusted to maintain the INR between 2.0 and 3.0. The primary efficacy outcome was recurrent symptomatic VTE. The efficacy analysis included all patients who received at least one dose of study drug, and included all outcomes through 12 months follow-up or study closure, regardless of the duration of treatment. The principal safety outcome was major or clinically relevant non-major bleeding, occurring on treatment or within 3 days of stopping treatment. All outcomes were adjudicated by an independent committee blinded to treatment allocation. A total of 771 cancer patients (9.3%) were enrolled (208 with active cancer and 563 with a history of cancer).The baseline clinical characteristics of patients in the edoxaban and warfarin groups were similar. The median duration of treatment in the edoxaban group was 267 days and in the warfarin group was 266 days (interquartile range 180 to 360 days in both groups). Among patients with active cancer, recurrent VTE occurred in 4 of 109 patients (3.7%) who received edoxaban and in 7 of 99 patients (7.1%) who received warfarin (hazard ratio 0.55, 95% CI 0.16 to 1.85). Clinically relevant bleeding (major or non-major) occurred in 20 patients (18.3%) given edoxaban (5 patients with major, 4.6%) and 25 patients (25.3%) given warfarin (3 patients with major, 3.0%) (hazard ratio for clinically relevant bleeding 0.72, 95% CI 0.40 to 1.30). Among all 771 cancer patients at entry, recurrent VTE occurred in 14 of 378 patients (3.7%) given edoxaban and in 28 of 393 patients (7.1%) who received warfarin (hazard ratio 0.53, 95% CI 0.28 to 1.00). Clinically relevant bleeding (major or non-major) occurred in 47 patients (12.4%) given edoxaban (10 patients with major, 2.6%) and 74 patients (18.8%) given warfarin (13 patients with major, 3.3%) (hazard ratio for clinically relevant bleeding 0.64, 95% CI 0.45 to 0.92). Among patients without cancer, either at entry or occurring during follow-up, recurrent VTE occurred in 103 of 3,658 patients (2.8%) given edoxaban and in 99 of 3,629 (2.7%) who received warfarin (hazard ratio 1.03, 95% CI 0.78 to 1.36, p=0.004 for non-inferiority). Clinically relevant bleeding (major or non-major) occurred in 280 of 3658 patients (7.7%) who received edoxaban (39 patients with major, 1.1%) and in 330 of 3629 patients (9.1%) given warfarin (48 patients with major, 1.3%) (hazard ratio for clinically relevant bleeding 0.83, 95% CI 0.71 to 0.97, p=0.022). The results suggest edoxaban is as effective, and possibly more effective, than warfarin in cancer patients with VTE. In such patients, bleeding is appreciable during anticoagulant therapy, and may potentially be reduced by edoxaban therapy. Additional studies of edoxaban for initial and long-term therapy of VTE in cancer patients are indicated, with LMWH as the comparator, and including lower doses of edoxaban to determine if bleeding can be further reduced without loss of efficacy. Disclosures: Raskob: Daiichi-Sankyo Pharma: Consultancy; Bayer Healthcare: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Janssen Pharmaceuticals: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Johnson and Johnson: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Sanofi-Aventis: Consultancy; Quintiles: Consultancy; Portola: Consultancy; Takeda: Consultancy. Off Label Use: presentation of subgroup analysis from phase III clinical trial. Buller:Daiichi Sankyo : Consultancy, Membership on an entity’s Board of Directors or advisory committees; Bayer Healthcare: Consultancy, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Boehringer Ingelheim: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity’s Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Isis Pharmaceuticals: Honoraria, Membership on an entity’s Board of Directors or advisory committees; ThromboGenics: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Angchaisuksiri:Daiichi Sankyo: Membership on an entity’s Board of Directors or advisory committees, Research Funding. Oh:Daiichi Sankyo : Membership on an entity’s Board of Directors or advisory committees, Research Funding. Boda:Daiichi Sankyo: Membership on an entity’s Board of Directors or advisory committees, Research Funding. Lyons:Daiichi Sankyo: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Lilly: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Gilead: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity’s Board of Directors or advisory committees, Research Funding. Weitz:Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Boehringer Ingelheim: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Bayer Healthcare: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Janssen : Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Merck: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees; Portola: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees. Zhang:Daiichi Sankyo: Employment. Lanz:Daiichi Sankyo: Employment. Mercuri:Daiichi Sankyo: Employment.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,001 | 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 ».