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Study Title and Description

Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.



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 Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.
Author Tice JA., Cummings SR., Smith-Bindman R., Ichikawa L., Barlow WE., Kerlikowske K.
Country Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California 94143-1732, USA. jtice@medicine.ucsf.edu
Year 2008
Numbers Pubmed ID: 18316752

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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