Target Trial Emulation with Real-World Data to Determine the Population-Level Cost-Effectiveness of Multi-Gene Panel Sequencing for Advanced Melanoma
Author(s)
Krebs E1, Weymann D1, Pollard S1, Regier D2
1Cancer Control Research, BC Cancer Research Institute, Vancouver, BC, Canada, 2Cancer Control Research, BC Cancer Research Institute, Burnaby, BC, Canada
Presentation Documents
OBJECTIVES: Compared to single-gene BRAF testing to guide targeted treatment for advanced melanoma, multi-gene panels can identify additional gene mutations with known therapeutic or prognostic relevance. No randomized control trials of multi-gene panel sequencing have been completed in advanced melanoma. This study determined the cost-effectiveness of multi-gene panel sequencing compared to single-gene BRAF testing for advanced melanoma.
METHODS: Our population-based retrospective study emulated a hypothetical pragmatic trial using comprehensive patient-level clinical and health administrative data between September 2016 and December 2018 from British Columbia, Canada. To emulate random treatment assignment, we 1:1 matched multi-gene panel patients to contemporaneous controls using a machine learning approach that maximized balance on 15 clinical and sociodemographic characteristics. Following matching, we estimated mean three-year survival time and costs (2021 CAD), and calculated incremental net monetary benefit (INMB) for life-years gained (LYG) at $100,000/LYG using inverse probability of censoring weighted linear regression and nonparametric bootstrapping. Besides an intention-to-treat (ITT) effect, we also estimated the per-protocol (PP) effect of initiating treatment within 90 days of receiving test results additionally using inverse probability of treatment weights.
RESULTS: We matched 147 patients receiving multi-gene panel sequencing to controls, achieving good balance for all included covariates. ITT mean incremental costs were $19,541 (95%CI:-$18,939,$77,396;P=0.41) and mean incremental LYG were 0.22 (95%CI:-0.06,0.50;P=0.12). PP incremental costs and LYG were $36,367 (95%CI:-$6,653,$120,216;P=0.22) and 0.56 (95%CI:0.39,1.24;P<0.01), respectively. The probability of multi-gene panel sequencing being cost-effective at $100,000/LYG was 55% in the ITT analysis and 65% in the PP analysis.
CONCLUSIONS: We found the cost-effectiveness of multi-gene panel sequencing compared to single-gene BRAF testing to be evenly poised, with estimates favouring multi-gene panel sequencing with respect to overall survival and cost-effectiveness when accounting for probability of treatment initiation. This real-world evidence generated using randomized trial design principles can support jurisdictions’ deliberations on the reimbursement of precision oncology interventions.
Conference/Value in Health Info
Value in Health, Volume 27, Issue 6, S1 (June 2024)
Code
EE444
Topic
Economic Evaluation, Medical Technologies, Methodological & Statistical Research, Study Approaches
Topic Subcategory
Confounding, Selection Bias Correction, Causal Inference, Cost-comparison, Effectiveness, Utility, Benefit Analysis, Diagnostics & Imaging
Disease
Oncology, Personalized & Precision Medicine
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