The OncoSim-Breast Cancer Microsimulation Model

Autor: Jean H. E. Yong, Claude Nadeau, William M. Flanagan, Andrew J. Coldman, Keiko Asakawa, Rochelle Garner, Natalie Fitzgerald, Martin J. Yaffe, Anthony B. Miller
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Current Oncology, Vol 29, Iss 3, Pp 1619-1633 (2022)
Druh dokumentu: article
ISSN: 1718-7729
1198-0052
DOI: 10.3390/curroncol29030136
Popis: Background: OncoSim-Breast is a Canadian breast cancer simulation model to evaluate breast cancer interventions. This paper aims to describe the OncoSim-Breast model and how well it reproduces observed breast cancer trends. Methods: The OncoSim-Breast model simulates the onset, growth, and spread of invasive and ductal carcinoma in situ tumours. It combines Canadian cancer incidence, mortality, screening program, and cost data to project population-level outcomes. Users can change the model input to answer specific questions. Here, we compared its projections with observed data. First, we compared the model’s projected breast cancer trends with the observed data in the Canadian Cancer Registry and from Vital Statistics. Next, we replicated a screening trial to compare the model’s projections with the trial’s observed screening effects. Results: OncoSim-Breast’s projected incidence, mortality, and stage distribution of breast cancer were close to the observed data in the Canadian Cancer Registry and from Vital Statistics. OncoSim-Breast also reproduced the breast cancer screening effects observed in the UK Age trial. Conclusions: OncoSim-Breast’s ability to reproduce the observed population-level breast cancer trends and the screening effects in a randomized trial increases the confidence of using its results to inform policy decisions related to early detection of breast cancer.
Databáze: Directory of Open Access Journals
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