Validation of a Breast Cancer Risk Prediction Model Developed for Black Women
نویسندگان
چکیده
منابع مشابه
Validation of a breast cancer risk prediction model developed for Black women.
BACKGROUND A breast cancer risk prediction model for black women, developed from data in the Women's Contraceptive and Reproductive Experiences (CARE) study, has been validated in women aged 50 years or older but not among younger women or for specific breast cancer subtypes. METHODS We assessed calibration and discrimination of the CARE model in the Black Women's Health Study (BWHS) with dat...
متن کاملBreast cancer risk assessment in Iranian women by Gail model
Abstract Background: Due to the high incidence of breast cancer and the effect of its early diagnosis on decreasing morbidity and mortality, we used the Gail model to study breast cancer risk in Iranian women. Methods: This study was done in a simple randomized way. Participants were 2000 Iranian women older than 35 years old. The questionnaire consisted of demographic data such a...
متن کاملDevelopment and validation of a breast cancer risk prediction model for Thai women: a cross-sectional study.
BACKGROUND Breast cancer risk prediction models are widely used in clinical practice. They should be useful in identifying high risk women for screening in limited-resource countries. However, previous models showed poor performance in derived and validated settings. Therefore, we aimed to develop and validate a breast cancer risk prediction model for Thai women. MATERIALS AND METHODS This cr...
متن کاملValidation study of risk prediction models for female relatives of Australian women with breast cancer
Risk prediction algorithms are an important tool for identifying individuals at high risk of developing the disease who can then be offered individually tailored clinical management. Several algorithms that predict the probability of breast cancer incidence are currently used in clinical practice. It is uncertain, though, as to which of the breast cancer risk prediction models performs best for...
متن کاملValidation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention.
BACKGROUND Women and their clinicians are increasingly encouraged to use risk estimates derived from statistical models, primarily that of Gail et al., to aid decision making regarding potential prevention options for breast cancer, including chemoprevention with tamoxifen. METHODS We evaluated both the goodness of fit of the Gail et al. model 2 that predicts the risk of developing invasive b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JNCI: Journal of the National Cancer Institute
سال: 2013
ISSN: 1460-2105,0027-8874
DOI: 10.1093/jnci/djt008