用新药治疗多发性骨髓瘤第一/第二次复发患者的组合疗法的成本效益分析:马尔科夫模型方法与校准技术
Weijia Wu1, Fengyuan Tang1, Yannan Wang2
1Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Health economics review
|March 15, 2025
概括
这项研究评估了中国复发性多发性骨髓瘤 (MM) 多种组合疗法的成本效益. 新型药物组合疗法带来了巨大的财务负担,尽管有生存益处,但挑战了它们的经济价值.
科学领域:
- 药物经济学 药物经济学
- 在瘤学瘤学.
- 卫生经济学 卫生经济学
背景情况:
- 越来越多的证据支持用于先前治疗多发性骨髓瘤 (MM) 的组合疗法.
- 经济评估对于在医疗保健系统中确定成本有效的治疗方法至关重要.
- 本研究的重点是中国的第一/第二次复发MM患者.
研究的目的:
- 评估各种组合疗法对第一/第二复发多发性骨髓瘤 (MM) 的成本效益.
- 为中国医疗保健系统提供有关MM治疗选择的经济视角.
主要方法:
- 马尔科夫模型被用来评估三个主要药物组:博尔特佐米布,莱纳利多米德和卡菲尔佐米布.
- 结合了随机临床试验 (RCT) 的临床数据和来自江省竞标数据库的成本数据.
- 实用值是通过中国EuroQoL五维五级问卷收集的,并进行了灵敏度分析.
主要成果:
- 在博特佐米布组中,波马利多米德-博特佐米布-甲在支付意愿 (WTP) 门内是最具成本效益的疗法.
- 列纳利多米德和卡菲尔佐米布组中的几种组合疗法超过了WTP值,这表明相对于益处的成本较高.
- 敏感性分析证实了基准案例发现的稳定性.
结论:
- 新型药物组合疗法对复发性MM的实质性成本对其经济合理性提出了挑战.
- 进一步的研究应该考虑治疗方案的异质性,以充分评估经济价值.
- 医疗保健系统对MM治疗决策的成本效益仍然是一个关键因素.
更多相关视频
15:04Potentiation of Anticancer Antibody Efficacy by Antineoplastic Drugs: Detection of Antibody-drug Synergism Using the Combination Index Equation
Published on: January 19, 2019
12.1K
10:04Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis
Published on: May 1, 2015
13.0K
相关概念视频
Combination Therapies and Personalized Medicine
4.8K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.8K
Cancer Survival Analysis
315
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
315
Comparing the Survival Analysis of Two or More Groups
113
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
113
Targeted Cancer Therapies
7.4K
The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
There are several types of targeted therapies against...
7.4K
