Ingress Health, Rotterdam, Netherlands
Ilse Van Oostrum , Yannan Hu , Zijiao Yuan , Michael Schlichting , Libo Tao , Chris P. Pescott
Background: Adding cetuximab to FOLFIRI chemotherapy (cet+CT) as first-line (1L) treatment for RAS wild-type (wt) metastatic colorectal cancer (mCRC) has been reported as cost-effective vs bevacizumab + FOLFIRI (bev+CT) in multiple jurisdictions. This study determined the cost-effectiveness (CE) of cet+CT for patients with mCRC in China. Methods: A published 3–health-state (nonprogressive, progressive, death) CE model was adapted to reflect Chinese patient characteristics, health state utilities, unit costs, and discounting rates, applying FIRE-3 trial–based resource utilization and adverse event rates. Progression-free and overall survival estimates were based on published FIRE-3 trial simulations to statistically adjust for available later-line treatment modalities in China vs those observed in FIRE-3.[1] Cetuximab and bevacizumab costs were based on up-to-date prices after the 2019 national reimbursement drug listing negotiations. Incremental CE ratios (ICERs) are given as cost (Chinese Yuan [¥]) per life-year (LY) and quality-adjusted LY (QALY) gained. The willingness-to-pay (WTP) threshold was ¥193,931, equivalent to 3 times the gross domestic product per capita, following WHO guidance. Results: Overall costs/costs restricted to 1L treatment were ¥483,771/¥249,619 (cet+CT) and ¥366,036/¥156,802 (bev+CT). Health effects were 3.32/2.68 (cet+CT) and 2.39/1.94 (bev+CT) LYs/QALYs gained. Discounted ICERs for cet+CT vs bev+CT were ¥148,311 and ¥186,517 per LY and QALY gained in deterministic analysis. cet+CT had a 71.8% (LY) and 52.5% (QALY) probability of being cost-effective. Treatment duration with a biologic in 1L, utilities in 3L treatment, and duration of 2L treatment were the main outcome drivers. Conclusions: Projections suggest that cet+CT is cost-effective vs bev+CT for 1L treatment of patients with RAS wt mCRC in China, with ICERs below the current WTP threshold in deterministic and probabilistic sensitivity analyses. [1] Van Oostrum I, et al. Value Health. 2020;23(Suppl 1): S8.
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