Cost effectiveness analysis of plasma genotyping versus tumor genotyping in detection of advanced non-small-cell lung cancer with epidermal growth factor receptor and T790M mutation under the Brazilian private healthcare system perspective

Authors

  • Marcos Santos Brasília University, Brasília, DF, Brazil
  • Marcelo Custodio AstraZeneca, São Paulo, SP, Brazil.
  • Alisson Matsuo AstraZeneca, São Paulo, SP, Brazil.
  • Giuliana Montenegro AstraZeneca, São Paulo, SP, Brazil.
  • Camila Pepe Sense Company, São Paulo, SP, Brazil.
  • Enzo Asano Sense Company, São Paulo, SP, Brazil.
  • Luiz Henrique Araujo National Cancer Institute, Rio de Janeiro, RJ, Brazil.

DOI:

https://doi.org/10.21115/JBES.v10.n3.p262-8

Keywords:

non-small cell lung cancer, cost benefit analysis, genotyping techniques, epidermal growth factor receptor

Abstract

Objective: Comparing the costs and effectiveness of plasma genotyping versus tumor genotyping for detecting the T790M mutation in advanced non-small cell lung cancer (NSCLC) with a mutation in the epidermal growth factor receptor (EGFR) and that progressed after use of an EGFR tyrosine kinase inhibitor (EGFR-TKI), from the perspective of the private healthcare system in Brazil. Methods: Patients with a post-EGFR-TKI T790M mutation are eligible for a second-line treatment with a third- -generation EGFR-TKI (osimertinib). In order to estimate the costs associated with the diagnosis method for the T790M mutation, a decision tree model has been used. Resource use was estimated by a team of experts, and the direct costs were estimated based on official databases. Results: Plasma genotyping provided a R$391 reduction per patient, due to the reduced cost with complications; it prevented 40.96% of the patients from undergoing an invasive procedure and 31.91% of the pa[1]tients from having any kind of complication. Conclusion: Data found support a new paradigm for treating the resistance to EGFR-TKIs, with plasma genotyping as the first diagnostic choice, what can help to define the treatment and to reduce the costs of Brazilian private healthcare system.

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Published

2018-12-20

How to Cite

Santos, M., Custodio, M., Matsuo, A., Montenegro, G., Pepe, C., Asano, E., & Araujo, L. H. (2018). Cost effectiveness analysis of plasma genotyping versus tumor genotyping in detection of advanced non-small-cell lung cancer with epidermal growth factor receptor and T790M mutation under the Brazilian private healthcare system perspective. Jornal Brasileiro De Economia Da Saúde, 10(3), 262–268. https://doi.org/10.21115/JBES.v10.n3.p262-8

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Artigos