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Record W2989629378 · doi:10.1182/blood-2019-123636

Lenalidomide Plus Bortezomib and Dexamethasone in the Treatment of Newly Diagnosed Multiple Myeloma: Results from a Canadian Cost-Effectiveness Analysis

2019· article· en· W2989629378 on OpenAlexaffabout
Michaël Sébag, Julie Stakiw, Thomas Stephens, Amie Padhiar, Tony Kim, Jane Shum, Sujith Dhanasiri, Suzanne Trudel

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversité de SherbrookeSaskatchewan Cancer AgencyMcGill UniversityRoyal Victoria Hospital
Fundersnot available
KeywordsLenalidomideMedicineInternal medicineMultiple myelomaMelphalanBortezomibOncologyAutologous stem-cell transplantationProgression-free survivalThalidomideIxazomibHazard ratioDaratumumabTransplantationSurgeryChemotherapyCarfilzomibConfidence interval

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.008
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.302
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes2
Has abstractyes

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