New Model More Accurately Predicts Breast Cancer Risk in Hispanic Women
, by DCEG Staff
A new breast cancer model, published today in the Journal of the National Cancer Institute, will help health care providers more accurately predict breast cancer risk in their Hispanic patients.
The model, developed by a Kaiser Permanente researcher and his colleagues, is the first to be based exclusively on data from Hispanic women and will become part of the National Cancer Institute’s online tool that helps providers calculate breast cancer risk in individual patients.
“Hispanics are the largest racial/ethnic minority group in the U.S., so it’s important that the NCI tool include information from these women in determining their risk score. Our model does that because it is based on data from Hispanic women and specifically tailored for them,” said Matthew P. Banegas, PhD, MPH, lead author and researcher from the Kaiser Permanente Center for Health Research.
Mitchell Gail, M.D., Ph.D. also contributed to this research.