Cost-Effectiveness Analysis of Trastuzumab Deruxtecan versus Trastuzumab Emtansine in Human Epidermal Growth Factor Receptor 2-Positive Metastatic Breast Cancer in the USA

医学 曲妥珠单抗 曲妥珠单抗 肿瘤科 转移性乳腺癌 内科学 乳腺癌 危险系数 紫杉烷 拉帕蒂尼 癌症 置信区间
作者
Jingyan Wang,Yinzhi Yi,Xiaomin Wan,Xiaohui Zeng,Peng Ye,Chongqing Tan
出处
期刊:Advances in Therapy [Springer Nature]
卷期号:39 (10): 4583-4593 被引量:11
标识
DOI:10.1007/s12325-022-02273-4
摘要

IntroductionBased on data from the DESTINY-Breast03 trial, we performed a cost-effectiveness analysis of trastuzumab deruxtecan (T-DXd) in patients with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer who had been previously treated with trastuzumab and a taxane from the US payer perspective.MethodsWe conducted a Markov model to assess the cost-effectiveness of T-DXd versus trastuzumab emtansine (T-DM1). The simulation time horizon for this model was the lifetime of patients. Transition probabilities were based on data from the DESTINY-Breast03 trial. Health utility data were derived from published studies. Outcome measures were costs (in 2022 US$), quality-adjusted life-years (QALYs), and the incremental cost-effectiveness ratio (ICER). One-way and probabilistic sensitivity analyses assessed the uncertainty of key model parameters and their joint impact on the base-case results.ResultsThe base-case results found that T-DXd provided an improvement of 3.90 QALYs compared with T-DM1, and the ICER was $220,533 per QALY. The one-way sensitivity analysis demonstrated that the utility value of progression-free survival, hazard ratios of T-Dxd versus T-DM1, and cost of T-Dxd contributed substantial uncertainty to the model. Probabilistic sensitivity analysis predicted T-DXd being cost-effective compared to T-DM1 was 0, 1, 16, and 46% at willingness-to-pay of $50,000, $100,000, $150,000, and 200,000 per QALY, respectively.ConclusionT-DXd was unlikely to offer a reasonable value for the money spent compared to T-DM1 in a US payer setting.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
汉堡包应助Rrr采纳,获得10
刚刚
新的心跳发布了新的文献求助10
刚刚
NN应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得10
2秒前
共享精神应助科研通管家采纳,获得10
2秒前
今后应助科研通管家采纳,获得30
2秒前
shouyu29应助科研通管家采纳,获得10
2秒前
英俊的铭应助科研通管家采纳,获得10
2秒前
深情安青应助科研通管家采纳,获得10
2秒前
CodeCraft应助科研通管家采纳,获得10
2秒前
完美世界应助科研通管家采纳,获得60
2秒前
搜集达人应助科研通管家采纳,获得10
2秒前
orixero应助科研通管家采纳,获得10
2秒前
酷波er应助科研通管家采纳,获得10
2秒前
充电宝应助科研通管家采纳,获得10
2秒前
科研通AI5应助科研通管家采纳,获得10
2秒前
科研小白应助科研通管家采纳,获得40
2秒前
Lucas应助科研通管家采纳,获得10
2秒前
活力绮兰应助科研通管家采纳,获得10
2秒前
感动秋完成签到 ,获得积分10
3秒前
3秒前
3秒前
gzsy完成签到 ,获得积分10
4秒前
4秒前
sexing发布了新的文献求助10
4秒前
丘比特应助koi采纳,获得10
4秒前
Sang完成签到 ,获得积分10
6秒前
6秒前
7秒前
金色年华完成签到,获得积分10
7秒前
丘比特应助daniel采纳,获得10
8秒前
我是老大应助szl采纳,获得10
9秒前
9秒前
赤邪完成签到,获得积分20
9秒前
小蘑菇应助复杂曼梅采纳,获得10
10秒前
11秒前
sexing完成签到,获得积分20
11秒前
你好发布了新的文献求助150
12秒前
12秒前
BareBear应助wfc采纳,获得10
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527928
求助须知:如何正确求助?哪些是违规求助? 3108040
关于积分的说明 9287614
捐赠科研通 2805836
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709808