Lenalidomide Plus Bortezomib and Dexamethasone in the Treatment of Newly Diagnosed Multiple Myeloma: Results from a Canadian Cost-Effectiveness Analysis
Notice bibliographique
Résumé
Introduction: In the Southwest Oncology Group trial SWOG S0777 (NCT00644228), lenalidomide (LEN), bortezomib (BORT), and dexamethasone (DEX; RVd) demonstrated superior median progression-free survival (PFS; 43 months vs. 30 months, P = 0.002) and overall survival (OS; 75 months vs. 64 months, P = 0.025) compared with Rd in patients with newly diagnosed multiple myeloma (NDMM) not eligible for immediate autologous stem cell transplantation (ASCT). This analysis compared the cost-effectiveness of RVd with existing treatment options for Canadian patients with NDMM not intended for ASCT (including LEN and DEX (Rd); and BORT, melphalan, and prednisone [VMP]), and regimens such as daratumumab plus VMP [D-VMP], which is currently under review by the pan-Canadian Oncology Drug Review (pCODR). Methods: The natural history of disease was modelled using a partitioned survival analysis and comprised of 3 health states (pre-progression, post-progression, and death). PFS and OS for RVd and Rd were estimated based on analysis of the SWOG S0777 trial data. Survival estimates for VMP and D-VMP were informed by a previously published network meta-analysis (NMA). Although cyclophosphamide, BORT, and DEX (CyBorD) is a commonly used therapy for MM patients in Canada, due to the lack of randomized trial data on its efficacy VMP was used as a proxy. Given the non-proportional hazards for PFS observed between regimens with a fixed duration (e.g. VMP) and those used until progression (e.g. Rd), a piecewise model was fit to the PFS data from the MM-020 trial comparing melphalan, prednisone, and thalidomide (MPT) and Rd, and hazard ratios (HR) from the NMA for VMP and D-VMP were applied to MPT. The OS curve for VMP was generated by applying the published HR to the modelled Rd arm. Given the paucity of OS data for D-VMP, this was assumed to be equivalent to RVd, based on feedback from clinical experts. A threshold analysis was also conducted to estimate the OS HR needed for D-VMP to be cost-effective at a threshold of Canadian dollars (CAD)100,000 compared with RVd. Quality-of-life estimates were obtained from data collected from transplant-ineligible patients in the MM-020 trial. Costs included drug acquisition and administration, supportive care and monitoring, adverse events, subsequent treatment, and end-of-life care. The analysis was conducted from the perspective of the Canadian public payer over a 30-year time horizon. Cost-effectiveness results were presented in terms of the incremental cost-effectiveness ratio (ICER) per quality-adjusted life year (QALY). Costs and outcomes were discounted at a rate of 1.5% per year. The robustness of the results and the impact of the model's assumptions were tested in sensitivity and scenario analyses. Results: In the reference case, RVd was associated with the highest total number of life years gained and QALYs. ICERs for RVd were CAD 43,632 per QALY gained versus Rd, CAD 70,488 per QALY gained versus VMP, and RVd was superior to D-VMP (more QALYs and lower costs). Scenario analyses showed that the most sensitive factors were the use of the second-best fitting model for extrapolating OS (RVd vs. VMP ICER increased by CAD 13,007) and the assumption of no drug wastage (RVd vs. Rd ICER decreased by CAD 7,236). Age of patients at baseline was associated with substantial variation in ICER across all comparators, with older patients having larger ICERs. For D-VMP to be cost effective over RVd at the threshold of CAD 100,000, the required HR for OS will have to be 0.18 or better versus VMP in the ALCYONE (NCT02195479) trial; for comparison, the current PFS and time to second progression (PFS2) HRs have been reported as 0.43 and 0.59 in the ALCYONE trial. Conclusions: This cost-effectiveness analysis demonstrated that RVd is associated with both survival and QALY gains compared with treatments that are currently available or pending approval and is a cost-effective strategy in the management of patients with NDMM not intended for ASCT in Canada, a setting with a high unmet need in terms of patient survival. Disclosures Sebag: Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Stakiw:Janssen: Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Roche: Research Funding; BMS: Honoraria; Amgen: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Lundbeck: Honoraria; Sanofi: Honoraria. Stephens:Amaris Consulting: Employment; Celgene Corporation: Consultancy. Padhiar:Amaris Consulting: Employment. Kim:Celgene Corporation: Employment, Equity Ownership. Shum:Celgene Corporation: Employment, Equity Ownership. Dhanasiri:Celgene Corporation: Employment, Equity Ownership. Trudel:Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria; Astellas: Research Funding; Genentech: Research Funding; Sanofi: Honoraria; Janssen: Honoraria, Research Funding; Pfizer: Honoraria; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding.
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 | 0,007 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,008 |
| Bibliométrie | 0,002 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».