Decision-Analytic Modeling Studies of Multiple Myeloma
2015
This review provides an overview of decision-analytic models evaluating different treatment strategies for multiple myeloma and is based on a systematic literature search to identify studies evaluating treatment strategies using mathematical decision-analytic models. Studies were included that assessed relevant clinical endpoints, and summarized methodological characteristics (e.g., modeling approaches, simulation techniques, health outcomes, perspectives). Eleven decision-analytic modeling studies met 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.
Decision-Analytic Modeling Studies of Multiple Myeloma
Source:
Rochau U, B Jahn, Qerimi JV, Burger EA, Kurzthaler C, Kluibenschaedl M, Willenbacher E, Gastl G, Willenbacher W, Siebert U. Decision-Analytic Modeling Studies: An Overview for Clinicians Using Multiple Myeloma as an Example. Critical Reviews in Oncology/Hematology 2015; 94 (2): 164-178. http://dx.doi.org/10.1016/j.critrevonc.2014.12.017