Recent findings from C. Holmberg and co-authors highlight research in breast cancer.

According to recent research from Berlin, Germany, "Statistical risk models hold substantial promise for the practice of cancer prevention by helping to identify high risk populations and subsequently guide decisions about surveillance, further testing and treatments. They have come under criticism for creating new categories of disease-free but 'at risk' individuals."

"We analysed the debate over the interpretation of risk estimates to assess the importance of these models for the practice of cancer prevention. In particular, we focused on the Gail model for breast cancer risk assessment as a case study, because it is widely used and has been promoted directly to consumers. …