Aims: The KWAY project aims to investigate the economic sustainability of the up-front NGS technologies adoption in the analysis of clinically relevant molecular alterations in NSCLC patients. Methods: The diagnostic workflow and the related sustained costs of five Italian referral centers were assessed in four different evolving scenarios were analyzed. For each scenario, two alternative testing strategies were evaluated: the Maximized Standard strategy and the Maximized NGS strategy. Results: For each center, the robustness of obtained results was verified through a deterministic sensitivity analysis, observing the variation of total costs based on a variation of ±20 % of the input parameters and ensuring that results would present a consistent behavior compared to the original ones. Conclusions: our project, highlighted that the adoption of NGS allows to save personnel time dedicated to testing activities and to reduce the overall cost of testing per patient.

Pisapia, P., Pepe, F., Baggi, A., Barberis, M., Galvano, A., Gristina, V., et al. (2022). Next generation diagnostic algorithm in non-small cell lung cancer predictive molecular pathology: The KWAY Italian multicenter cost evaluation study. CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY, 169(January 2022) [10.1016/j.critrevonc.2021.103525].

Next generation diagnostic algorithm in non-small cell lung cancer predictive molecular pathology: The KWAY Italian multicenter cost evaluation study

Pagni F.;
2022

Abstract

Aims: The KWAY project aims to investigate the economic sustainability of the up-front NGS technologies adoption in the analysis of clinically relevant molecular alterations in NSCLC patients. Methods: The diagnostic workflow and the related sustained costs of five Italian referral centers were assessed in four different evolving scenarios were analyzed. For each scenario, two alternative testing strategies were evaluated: the Maximized Standard strategy and the Maximized NGS strategy. Results: For each center, the robustness of obtained results was verified through a deterministic sensitivity analysis, observing the variation of total costs based on a variation of ±20 % of the input parameters and ensuring that results would present a consistent behavior compared to the original ones. Conclusions: our project, highlighted that the adoption of NGS allows to save personnel time dedicated to testing activities and to reduce the overall cost of testing per patient.
Articolo in rivista - Review Essay
Cost; NGS; NSCLC; Predictive molecular pathology; Single-gene test;
English
20-nov-2021
2022
169
January 2022
103525
none
Pisapia, P., Pepe, F., Baggi, A., Barberis, M., Galvano, A., Gristina, V., et al. (2022). Next generation diagnostic algorithm in non-small cell lung cancer predictive molecular pathology: The KWAY Italian multicenter cost evaluation study. CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY, 169(January 2022) [10.1016/j.critrevonc.2021.103525].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/390269
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