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DOI 10.1007/s10654-014-9972-6

Медицинская библиотека · European journal of epidemiology · 2014

Is mammography screening history a predictor of future breast cancer risk?

Andersen Sune Bangsbøll, Törnberg Sven, Kilpeläinen Sini, Von Euler-Chelpin My, Njor Sisse Helle

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Inspired by the model by Walter and Day for risk of cervical cancer following negative screens, one might hypothesize that women in a mammography screening programme with a certain number of negative screens had a lower remaining breast cancer risk than that of women in general. We studied whether number of negative screens was a predictor for a low remaining breast cancer risk in women participating in the mammography screening programmes in Stockholm, Copenhagen and Funen. Data were collected from the mammography screening programmes in Stockholm, Sweden (1989-2012), Copenhagen, Denmark (1991-2009) and Funen, Denmark (1993-2009), and linked to the respective cancer registries. We calculated cumulative hazard rates for breast cancer in women in cohorts defined by age at entry and number of negative screens for the maximum follow-up period in each screening centre. For all centres and cohorts, the cumulative hazard were parallel for all number of negative screens, from after the time, when the women were scheduled to be invited for the next screen. This means that the remaining breast cancer risk is similar no matter how many negative screens a woman have had. Number of negative screens was not a predictor of a low remaining breast cancer risk in women participating in the mammography screening programmes in Stockholm, Sweden, Copenhagen and Funen, Denmark. The history of previous negative screens is therefore not suitable for personalisation of mammography screening.

Для цитирования: Andersen Sune Bangsbøll, Törnberg Sven, Kilpeläinen Sini, Von Euler-Chelpin My, Njor Sisse Helle. Is mammography screening history a predictor of future breast cancer risk?. European journal of epidemiology. 2014. DOI: 10.1007/s10654-014-9972-6.

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