Decision-analytic modeling studies: An overview for clinicians using multiple myeloma as an example
| Autor: | Ursula Rochau, Uwe Siebert, Günther Gastl, Christina Kurzthaler, Wolfgang Willenbacher, V. Qerimi, Ella Willenbacher, Beate Jahn, M. Kluibenschaedl, Emily A. Burger |
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| Rok vydání: | 2014 |
| Předmět: |
medicine.medical_specialty
Models Statistical business.industry Cost-Benefit Analysis Decision Making Disease Management Hematology Cost-effectiveness analysis Health outcomes medicine.disease Survival Analysis Decision Support Techniques Transplantation Oncology medicine Clinical endpoint Life expectancy Humans Medical physics Computer Simulation Discrete event simulation business Multiple Myeloma Health policy Multiple myeloma |
| Zdroj: | Critical reviews in oncology/hematology. 94(2) |
| ISSN: | 1879-0461 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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