Ian M. Collins

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We aimed to develop a user-centered, web-based, decision support tool for breast cancer risk assessment and personalized risk management. Using a novel model choice algorithm, iPrevent(®) selects one of two validated breast cancer risk estimation models (IBIS or BOADICEA), based on risk factor data entered by the user. Resulting risk estimates are presented(More)
STUDY QUESTION Do women with ITALIC! BRCA1 or ITALIC! BRCA2 mutations have reduced ovarian reserve, as measured by circulating anti-Müllerian hormone (AMH) concentration? SUMMARY ANSWER Women with a germline mutation in ITALIC! BRCA1 have reduced ovarian reserve as measured by AMH. WHAT IS KNOWN ALREADY The DNA repair enzymes encoded by ITALIC! BRCA1(More)
PURPOSE Selective Estrogen Receptor Modulators (SERMs) reduce the risk of breast cancer for women at increased risk by 38%. However, uptake is extremely low and the reasons for this are not completely understood. The aims of this study were to utilize time trade-off methods to determine the degree of risk reduction required to make taking SERMs worthwhile(More)
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