The Breast Cancer Risk Assessment Tool allows health professionals to estimate a woman's risk of developing invasive breast cancer over the next 5 years and up to age 90 lifetime risk. The tool may underestimate risk in black women with previous biopsies and Hispanic women born outside the United States. Further studies are needed to refine and validate these models.
The Gail Model has been widely implemented in developed and developing countries and is considered to be the best available instrument to estimate breast cancer BC risk for early prevention. The goals of the study were to determine five-year and lifetime BC risks and to assess BC predictors among female Saudi teachers using the Gail model. A cross sectional study with convenience sampling was conducted among female Saudi secondary school teachers.
There is a growing interest in delivering more personalised, risk-based breast cancer screening protocols. This requires population-level validation of practical models that can stratify women into breast cancer risk groups. Few studies have evaluated the Gail model NCI Breast Cancer Risk Assessment Tool in a population screening setting; we validated this tool in a large, screened population.
Enter your email address and we'll send you a link to reset your password. See the Evidence section for more information. The Gail Model is one of several risk assessment models that can help determine the absolute 5 year risk and lifetime risk of developing breast cancer. It helps determine which risk-reduction options—medical chemoprevention with tamoxifensurgical prophylactic mastectomy or lifestyle changes only—are most appropriate for individual patients by weighing risks and benefits of intervention versus likelihood of developing cancer.
The Gail model has been widely used and validated with conflicting results. The current study aims to evaluate the performance of different versions of the Gail model by means of systematic review and meta-analysis with trial sequential analysis TSA. Three systematic review and meta-analyses were conducted.
The Gail Model is a statistical breast cancer risk assessment algorithm which was developed by Dr. It was developed following a huge screening study of women between 35 and 74 years of age. The Gail model has shown to be a reasonable tool for estimating breast cancer risk in white women, and other researchers have subsequently supplemented the model to provide accurate risk assessments for African American, Hispanic, and Asian women.
Hunter, Graham A. Colditz, Validation of the Gail et al. Background: Women and their clinicians are increasingly encouraged to use risk estimates derived from statistical models, primarily that of Gail et al.
Performance of the Gail and Tyrer-Cuzick breast cancer risk assessment models in women screened in a primary care setting with the FHS-7 questionnaire. The Gail and Tyrer—Cuzick models are the most commonly used, and BC risks assigned by them vary considerably especially concerning familial history. In this study, our aim was to compare the Gail and Tyrer-Cuzick models after initial screening for familial history of cancer in primary care using the FHS-7 questionnaire.