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DOI 10.3390/curroncol29030136

Медицинская библиотека · Current oncology (Toronto, Ont.) · 2022

The OncoSim-Breast Cancer Microsimulation Model.

Yong Jean H E, Nadeau Claude, Flanagan William M, Coldman Andrew J, Asakawa Keiko, Garner Rochelle, Fitzgerald Natalie, Yaffe Martin J, Miller Anthony B

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

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.

Для цитирования: Yong Jean H E, Nadeau Claude, Flanagan William M, Coldman Andrew J, Asakawa Keiko, Garner Rochelle, Fitzgerald Natalie, Yaffe Martin J, Miller Anthony B. The OncoSim-Breast Cancer Microsimulation Model.. Current oncology (Toronto, Ont.). 2022. DOI: 10.3390/curroncol29030136.

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