A team of researchers headed by Columbia University Mailman School of Public Health Professor Mary Beth Terry, Ph.D., evaluated four commonly used breast cancer prediction models. Their findings signified that family-history-based models work better than non-family-history based models. This is true even for women having average or below-average chance of breast cancer. The study may be the largest individual analysis to validate four widely used forms of breast cancer hazard and has the longest running dataset available to date. The findings are published online in The Lancet Oncology.
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