A Systematic Review of Modeling Approaches to Evaluate Treatments for Relapsed Refractory Multiple Myeloma: Critical Review and Considerations for Future Health Economic Models.
Andreas FreitagGrammati SarriAn TaLaura GurskyteDasha CherepanovLuis G HernandezPublished in: PharmacoEconomics (2024)
Published economic models in relapsed/refractory multiple myeloma rarely followed an individual patient approach, mainly owing to the higher need for complex data assumptions compared with simpler modeling approaches. As many patients experience disease progression on multiple treatment lines, there is a growing need for modeling complex treatment strategies, leading to more sophisticated approaches in the future. Maintaining transparency, high reporting standards, and thorough analyses of uncertainty are crucial to support these advancements.
Keyphrases
- multiple myeloma
- end stage renal disease
- acute lymphoblastic leukemia
- acute myeloid leukemia
- ejection fraction
- chronic kidney disease
- current status
- healthcare
- newly diagnosed
- diffuse large b cell lymphoma
- public health
- mental health
- hodgkin lymphoma
- randomized controlled trial
- risk assessment
- deep learning
- life cycle
- patient reported
- data analysis
- meta analyses