Now showing items 1-10 of 12
Impact of a decision aid about stratified ovarian cancer risk-management on women's knowledge and intentions: a randomised online experimental survey study.
BACKGROUND: Risk stratification using genetic and other types of personal information could improve current best available approaches to ovarian cancer risk reduction, improving identification of women at increased risk ...
A risk prediction algorithm for ovarian cancer incorporating BRCA1, BRCA2, common alleles and other familial effects.
BACKGROUND: Although BRCA1 and BRCA2 mutations account for only ∼27% of the familial aggregation of ovarian cancer (OvC), no OvC risk prediction model currently exists that considers the effects of BRCA1, BRCA2 and other ...
Setting the Threshold for Surgical Prevention in Women at Increased Risk of Ovarian Cancer.
The number of ovarian cancer cases is predicted to rise by 14% in Europe and 55% worldwide over the next 2 decades. The current absence of a screening program, rising drug/treatment costs, and only marginal improvements ...