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Study Title and Description

Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density.



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 Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density.
Author Chen J., Pee D., Ayyagari R., Graubard B., Schairer C., Byrne C., Benichou J., Gail MH.
Country Department of Biostatistics and Epidemiology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Year 2006
Numbers Pubmed ID: 16954474

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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