Abstract
While controversies regarding optimal breast cancer screening modalities, screening start and end ages, and screening frequencies continue to exist, additional population-based randomized trials are unlikely to be initiated to examine these concerns. Simulation models have been used to evaluate the efficacy and effectiveness of various breast cancer screening strategies, however these models were all developed using US data. Currently, there is a need to examine the optimal screening and treatment policies in the Canadian context. In this commentary, we discuss the current controversies pertaining to breast cancer screening, and describe the fundamental components of a simulation model, which can be used to inform breast cancer screening and treatment policies.
Key words: Breast cancer, screening controversies, screening strategies, simulation, model components
Résumé
Des controverses persistent au sujet des modalités optimales de dépistage du cancer du sein, de l’âge de début et de fin du dépistage, et de la fréquence du dépistage, mais on a peu tendance à lancer d’autres essais aléatoires en population pour examiner ces questions. Des modèles de simulation ont été utilisés pour évaluer l’utilité et l’efficacité de diverses stratégies de dépistage du cancer du sein, mais ces modèles ont tous été élaborés à l’aide de données des États-Unis. Il faudrait aujourd’hui examiner les politiques de dépistage et de traitement optimales dans un contexte canadien. Dans notre commentaire, nous expliquons les controverses actuelles afférentes au dépistage du cancer du sein et nous décrivons les composants fondamentaux d’un modèle de simulation pouvant servir à éclairer les politiques de dépistage et de traitement du cancer du sein.
Mots clés: tumeurs du sein, controverses et dissensions (dépistage), stratégies de dépistage, simulation, composants de modèle
Footnotes
Conflict of Interest: None to declare.
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