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Budget impact analysis of next-generation sequencing versus sequential single-gene testing in Japanese patients with advanced non-small-cell lung cancer

Authors :
Matsuda, Hiroyuki
Ogawa, Toru
Sadatsuki, Yasunari
Tsujino, Toshiaki
Wada, Shingo
Kim, Seok-Won
1000030589924
Hatanaka, Yutaka
Matsuda, Hiroyuki
Ogawa, Toru
Sadatsuki, Yasunari
Tsujino, Toshiaki
Wada, Shingo
Kim, Seok-Won
1000030589924
Hatanaka, Yutaka
Publication Year :
2023

Abstract

Background: Identification of genomic alterations (e.g., EGFR, ALK, ROS1, BRAF, NTRK, and MET) is essential for initiating targeted therapy in patients with advanced non-small-cell lung cancer (aNSCLC). This study estimated the budget impact of using the sequential single-gene (SSG) test, which tests for each mutation one at a time, versus next-generation sequencing (NGS), which tests for all mutations at the same time, among newly diagnosed patients with aNSCLC from a Japanese healthcare payer's perspective. Methods: A budget impact model (BIM) was used to determine the expected budget impact associated with NGS for newly diagnosed aNSCLC in Japan over a 3-year period. The BIM compared the total costs (biopsy, testing, and treatment) and average turnaround time of future NGS and current NGS versus SSG testing. Results: The adoption of current NGS over SSG testing had a budget impact of-0.24%, but adoption of future NGS over SSG testing had a budget impact of thorn 4.33% across a 3-year time horizon on the Japanese budget for aNSCLC treatment. The adoption of current or future NGS over SSG testing would shorten the average turnaround time for testing. Conclusions: The adoption of current NGS over SSG testing would slightly decrease the yearly costs. However, the adoption of future or current NGS over SSG testing would shorten the average turnaround time, enabling faster identification of genomic alterations and earlier initiation of treatment for aNSCLC patients in Japan. (c) 2022 The Authors. Published by Elsevier B.V. on behalf of The Japanese Respiratory So-ciety. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1378467819
Document Type :
Electronic Resource