Cost-effectiveness evaluation of benmelstobart, anlotinib and chemotherapy in patients with extensive-stage small-cell lung cancer

对广泛期小细胞肺癌患者使用苯甲司托巴、安罗替尼和化疗的成本效益进行评估

阅读:1

Abstract

INTRODUCTION: Programmed death-ligand 1 (PD-L1) blockade is a growing treatment for extensive-stage small cell lung cancer (ES-SCLC). This study evaluates the cost-effectiveness of benmelstobart and anlotinib plus etoposide/carboplatin (EC) compared versus anlotinib plus EC and EC alone for patients with ES-SCLC in China. METHODS: Using a Markov model over 5-year boundary and data from the ETER701 trials, we analyzed quality-adjusted life-years (QALYs), incremental cost-effectiveness ratio (ICER), total cost, incremental net health benefit (INHB) and incremental monetary benefit (INMB). To address uncertainties, we conducted one-way analysis and probabilistic sensitivity analysis (PSA). Scenario analyses were used to evaluate the resilience of our model's findings. RESULTS: The administration of triple therapy for ES-SCLC demonstrated a significant improvement in QALY, with respective gains of 0.26, 0.39, compared with the other two schemes. However, enhanced therapeutic benefit was accompanied by increased costs. And triple therapy showed less cost-effectiveness with ICER of $189797.99 and $149249.24 per QALY respectively when compared with other schemes. Moreover, the analysis revealed an INHB of -1.04, -1.12 QALYs, and the INMB of -39755.48 $, -42819.93 $ respectively. Sensitivity analysis demonstrated that benmelstobart's cost was the main driver of cost-effectiveness. The cost-effectiveness acceptability curve displayed that the likelihood of triple therapy being cost-effective increased from 34.20% to 97.60% when the threshold value for cost per QALY gained varied from $180000 to $240000. The scenario analysis supported these findings. DISCUSSION: Triple therapy was a less cost-effective option for patients with ES-SCLC compared with anlotinib plus EC and EC alone in China.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。