COST-EFFECTIVENESS OF VEMURAFENIB AS A FIRST-LINE TREATMENT IN PATIENTS WITH BRAF V600 MUTATION-POSITIVE UNRESECTABLE OR METASTATIC MELANOMA IN SPAIN

Author(s)

Rubio-Terrés C1, Orofino J2, Armas J2, Parra J2, Rubio-Rodríguez D1, Grau S3
1Health Value, Madrid, Spain, 2Roche Farma, Madrid, Spain, 3Hospital del Mar (IMIM), Barcelona, Spain

OBJECTIVES: Genetically-targeted therapies are both promising and costly advances in the field of oncology. This study aims to evaluate the cost-effectiveness of vemurafenib versus ipilimumab as first-line treatments in patients with BRAF V600 mutation-positive unresectable or metastatic melanoma from a Spanish healthcare system perspective. METHODS: We performed a cost-effectiveness analysis to compare both strategies for patients with BRAF positive metastatic melanoma using a probabilistic model. Since head-to-head trials are not available, overall (complete and partial) response rates were obtained from the phase III randomized-controlled trials of vemurafenib (57.0%; 95% CI 51.6-65.2%) and ipilimumab (15.2%; 95% CI 12.2-18.2%). The cost of treatment regimens was calculated using the recommended dose schedules as per the Summary of Product Characteristics. The treatment duration with vemurafenib was 6.9 months (median progression-free survival). Four doses of ipilimumab were considered. The prices used in the analysis correspond to those currently approved in Spain (in EUR, 2015).Monte-Carlo simulation was chosen as it allows simulating the effect of changes in different parameters obtained from clinical studies and other sources to describe real-life distributions. Parameters used in the simulation were the progression free survival, body weight and overall response rates. Additional threshold sensitivity analyses for possible ipilimumab price discounts were performed. RESULTS:

Conference/Value in Health Info

2015-11, ISPOR Europe 2015, Milan, Italy

Value in Health, Vol. 18, No. 7 (November 2015)

Code

PCN132

Topic

Economic Evaluation

Topic Subcategory

Cost-comparison, Effectiveness, Utility, Benefit Analysis

Disease

Oncology

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