Cost-effectiveness Analysis of Nivolumab for Treatment of Platinum-Resistant Recurrent or Metastatic Squamous Cell Carcinoma of the Head and Neck

纳武利尤单抗治疗铂类耐药复发或转移性头颈部鳞状细胞癌的成本效益分析

阅读:1

Abstract

BACKGROUND: The CheckMate 141 trial found that nivolumab improved survival for patients with recurrent or metastatic head and neck cancer (HNC). Despite the improved survival, nivolumab is much more expensive than standard therapies. This study assesses the cost-effectiveness of nivolumab for the treatment of HNC. METHODS: We constructed a Markov model to simulate treatment with nivolumab or standard single-agent therapy for patients with recurrent or metastatic platinum-refractory HNC. Transition probabilities, including disease progression, survival, and probability of toxicity, were derived from clinical trial data, while costs (in 2017 US dollars) and health utilities were estimated from the literature. Incremental cost-effectiveness ratios (ICERs), expressed as dollar per quality-adjusted life-year (QALY), were calculated, with values of less than $100 000/QALY considered cost-effective from a health care payer perspective. We conducted one-way and probabilistic sensitivity analyses to assess model uncertainty. RESULTS: Our base case model found that treatment with nivolumab increased overall cost by $117 800 and improved effectiveness by 0.400 QALYs compared with standard therapy, leading to an ICER of $294 400/QALY. The model was most sensitive to the cost of nivolumab, though nivolumab only became cost-effective if the cost per cycle decreased from $13 432 to $3931. The model was not particularly sensitive to assumptions about survival. If one assumed that all patients alive at the end of the CheckMate 141 trial were cured of their disease, nivolumab was still not cost-effective (ICER $244 600/QALY). CONCLUSION: While nivolumab improves overall survival, at its current cost it would not be considered a cost-effective treatment option for patients with HNC.

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。