期刊
CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY
卷 94, 期 2, 页码 164-178出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.critrevonc.2014.12.017
关键词
Decision-analytic modeling; Multiple myeloma; Systematic overview; Cost effectiveness analysis; Health economic modeling
资金
- COMET ONCOTYROL - Center for Personalized Cancer Medicine - Austrian Federal Ministries for Transport Innovation and Technology (BMVIT) and Economy, Family and Youth (BMWFJ) (via the Austrian Research Promotion Agency FFG) [2073085]
- Tyrolean Future Foundation/Standortagentur Tirol (SAT)
- Erasmus Mundus Western Balkans (ERAWEB) - European Commission
Purpose: The purpose of this study was to provide a clinician-friendly overview of decision-analytic models evaluating different treatment strategies for multiple myeloma (MM). Methods: We performed a systematic literature search to identify studies evaluating MM treatment strategies using mathematical decision-analytic models. We included studies that were published as full-text articles in English, and assessed relevant clinical endpoints, and summarized methodological characteristics (e.g., modeling approaches, simulation techniques, health outcomes, perspectives). Results: Eleven decision-analytic modeling studies met our inclusion criteria. Five different modeling approaches were adopted: decision-tree modeling, Markov state-transition modeling, discrete event simulation, partitioned-survival analysis and area-under-the-curve modeling. Health outcomes included survival, number-needed-to-treat, life expectancy, and quality-adjusted life years. Evaluated treatment strategies included novel agent-based combination therapies, stem cell transplantation and supportive measures. Conclusion: Overall, our review provides a comprehensive summary of modeling studies assessing treatment of MM and highlights decision-analytic modeling as an important tool for health policy decision making. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据