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Cost-effectiveness analysis of molecular diagnosis by next-generation sequencing versus sequential single testing in metastatic non-small cell lung cancer patients from a south Spanish hospital perspective

Enrique de Álava, María Jesús Pareja, David Carcedo, Natalia Arrabal, J. F. García, Reyes Bernabé

2022Expert Review of Pharmacoeconomics & Outcomes Research18 citationsDOIOpen Access PDF

Abstract

BACKGROUND: To assess the cost-effectiveness of using next-generation sequencing (NGS) compared to sequential single-testing (SST) for molecular diagnostic and treatment of patients with advanced non-small cell lung cancer (NSCLC) from a Spanish single-center perspective, the Hospital Universitario Virgen del Rocio (HUVR). RESEARCH DESIGN AND METHODS: A decision-tree model was developed to assess the alterations detection alterations and diagnostic cost in patients with advanced NSCLC, comparing NGS versus SST. Model inputs such as testing, positivity rates, or treatment allocation were obtained from the literature and the clinical practice of HUVR experts through consultation. Several sensitivity analyses were performed to test the robustness of the model. RESULTS: Using NGS for molecular diagnosis of a 100-patients hypothetical cohort, 30 more alterations could be detected and 3 more patients could be enrolled in clinical-trials than using SST. On the other hand, diagnostic costs were increased up to €20,072 using NGS instead of SST. Using NGS time-to-results would be reduced from 16.7 to 9 days. CONCLUSIONS: The implementation of NGS at HUVR for the diagnostic of patients with advanced NSCLC provides significant clinical benefits compared to SST in terms of alterations detected, treatment with targeted-therapies and clinical-trial enrollment, and could be considered a cost-effective strategy.

Topics & Concepts

MedicineOncologyLung cancerClinical trialInternal medicineCohortCost effectivenessDiagnostic testIntensive care medicineEmergency medicineRisk analysis (engineering)Lung Cancer Treatments and MutationsCancer Genomics and DiagnosticsLung Cancer Diagnosis and Treatment