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Study Title and Description

Gail model for prediction of absolute risk of invasive breast cancer: independent evaluation in the Florence-European Prospective Investigation Into Cancer and Nutrition cohort.



Key Questions Addressed
1 Key Question 1. In adult women without preexisting breast cancer, what is the accuracy of risk assessment methods to identify women who could benefit from medications to reduce risk for primary breast cancer (e.g., clinical risk assessment models)? Key Question 1a. What is the optimal age at which to begin risk assessment to identify women who could benefit from medications to reduce risk for primary breast cancer? Key Question 1b. What is the optimal frequency of risk assessment to identify women who could benefit from medications to reduce risk for primary breast cancer?
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Primary Publication Information
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TitleData
Title Gail model for prediction of absolute risk of invasive breast cancer: independent evaluation in the Florence-European Prospective Investigation Into Cancer and Nutrition cohort.
Author Decarli A., Calza S., Masala G., Specchia C., Palli D., Gail MH.
Country Medical Statistics and Biometry Institute, University of Milan, Via Venezian 1, 20133 Milan, Italy. adriano.decarli@unimi.it
Year 2006
Numbers Pubmed ID: 17148770

Secondary Publication Information
There are currently no secondary publications defined for this study.


Extraction Form: Key Questions 1-4


Results & Comparisons

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