Risk prediction model developed for breast cancer in black women – Consumer Health News
WEDNESDAY, Oct. 13, 2021 (HealthDay News) – A new model for predicting breast cancer in black women is well calibrated and has moderate predictive power, according to a study published online Oct. 8 in the Journal of Clinical Oncology.
Julie R. Palmer, Sc.D., of the Slone Epidemiology Center at Boston University, and colleagues estimated the relative risks of breast cancer and the attributable risks using data from black women in three studies US population-based case-controls and combined with Surveillance, Epidemiology, Final results Age and race-specific incidence rates, with incorporation of concurrent mortality, to develop an absolute risk model. The model was validated with 51,798 participants in the Black Women’s Health Study, which included 1,515 women who developed invasive breast cancer. A second risk prediction model was developed using the relative risks specific to estrogen receptors (ERs) and attributable risks.
The researchers found the model to be well calibrated, with an expected / observed ratio of 1.01 (95% confidence interval, 0.95 to 1.07). The age-adjusted C statistics were 0.58 (95% confidence interval, 0.56 to 0.59) and 0.63 (95% confidence interval, 0.58 to 0 , 68) overall and among women under 40, respectively. In the model based on relative risks and RE-specific attributable risks, these measures were almost identical.
“Because black American women have a disproportionately high rate of death from breast cancer, improving the early detection of breast cancer in this population is essential, especially in young black women who have not yet reached. the age at which mammography screening is typically started, âPalmer said in a statement.
An author has disclosed financial ties to Pfizer.
Summary / Full Text (subscription or payment may be required)