1. Cost-effectiveness analysis of EGFR mutation testing in patients with non-small cell lung cancer (NSCLC) with gefitinib or carboplatin–paclitaxel
- Author
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Vicente Morales-Oyarvide, Pablo Anaya, Ana C. Polanco, Oscar Arrieta, and Laura Alejandra Ramírez-Tirado
- Subjects
Male ,Oncology ,Test strategy ,medicine.medical_specialty ,Lung Neoplasms ,Paclitaxel ,Cost-Benefit Analysis ,medicine.medical_treatment ,Economics, Econometrics and Finance (miscellaneous) ,non-small cell lung cancer (NSCLC) ,Disease-Free Survival ,Carboplatin ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Gefitinib ,Carcinoma, Non-Small-Cell Lung ,Internal medicine ,Antineoplastic Combined Chemotherapy Protocols ,medicine ,Carcinoma ,Humans ,030212 general & internal medicine ,Mexico ,Protein Kinase Inhibitors ,Chemotherapy ,business.industry ,Health Policy ,Genes, erbB-1 ,Cost-effectiveness analysis ,medicine.disease ,Quality-adjusted life year ,Latin America ,chemistry ,030220 oncology & carcinogenesis ,Mutation ,Quinazolines ,Female ,Quality-Adjusted Life Years ,business ,Models, Econometric ,medicine.drug - Abstract
Assess the cost-effectiveness of an EGFR-mutation testing strategy for advanced NSCLC in first-line therapy with either gefitinib or carboplatin–paclitaxel in Mexican institutions. Cost-effectiveness analysis using a discrete event simulation (DES) model to simulate two therapeutic strategies in patients with advanced NSCLC. Strategy one included patients tested for EGFR-mutation and therapy given accordingly. Strategy two included chemotherapy for all patients without testing. All results are presented in 2014 US dollars. The analysis was made with data from the Mexican frequency of EGFR-mutation. A univariate sensitivity analysis was conducted on EGFR prevalence. Progression-free survival (PFS) transition probabilities were estimated on data from the IPASS and simulated with a Weibull distribution, run with parallel trials to calculate a probabilistic sensitivity analysis. PFS of patients in the testing strategy was 6.76 months (95 % CI 6.10–7.44) vs 5.85 months (95 % CI 5.43–6.29) in the non-testing group. The one-way sensitivity analysis showed that PFS has a direct relationship with EGFR-mutation prevalence, while the ICER and testing cost have an inverse relationship with EGFR-mutation prevalence. The probabilistic sensitivity analysis showed that all iterations had incremental costs and incremental PFS for strategy 1 in comparison with strategy 2. There is a direct relationship between the ICER and the cost of EGFR testing, with an inverse relationship with the prevalence of EGFR-mutation. When prevalence is >10 % ICER remains constant. This study could impact Mexican and Latin American health policies regarding mutation detection testing and treatment for advanced NSCLC.
- Published
- 2015
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