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Features of modeling the course and outcomes of diseases in the clinical and economic analysis of drugs in oncology — a review of the models used
- Authors: Tolkushin A.G.1, Khabriev R.U.2
- Affiliations:
- Eurasian Academy of Good Practices, Moscow, Russia
- N. A. Semashko National Research Institute of Public Health, Moscow, Russia
- Issue: No 2 (2023)
- Pages: 105-112
- Section: Articles
- URL: https://remedium-journal.ru/journal/article/view/1622
- DOI: https://doi.org/10.32687/1561-5936-2023-27-2-105-112
- Cite item
Abstract
Purpose: to determine current trends in modeling the course and outcomes of diseases in the course of clinical and economic studies of drugs in oncology. A review was made of 108 publications presenting the results of clinical and economic (cost-effectiveness) studies of drugs in oncology using simulations published in the first half of 2022 and the second half of 2021. Of the studies reviewed, 98% were performed using a Markov model or a split survival model. Most models include 3 states: no progression (stable state), progression, and death. As a result, 98% of studies calculated the number of quality life years (QALYs) as a measure of effectiveness. Strict preference (reducing costs and increasing efficiency) was found in only 9% of studies. 56% of publications are made in the USA and China. As sources of initial data for modeling, 99% of authors use the results of clinical trials. The current trends in modeling in the framework of clinical and economic studies of drugs in oncology include the consistency of modeling designs and categories of results that allow their comparison, the prevalence of works by authors from China and the United States.
About the authors
Alexander G. Tolkushin
Eurasian Academy of Good Practices, Moscow, Russia
Email: 001
Ramil U. Khabriev
N. A. Semashko National Research Institute of Public Health, Moscow, Russia
Email: 002
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