An interactive tool, also known as The Gail Model, designed by scientists at the National Cancer Institute and the NSABP to estimate a woman's risk of developing invasive breast cancer. The Gail Model is for use in women with no history of breast cancer, DCIS or LCIS. Other tools may be more appropriate for women with known mutations in BRCA1, BRCA2, or other hereditary syndromes associated with breast cancer.
The model incorporates a series of questions related to breast cancer risk factors. Answers to the questions are calculated into a Gail risk score. A woman's risk is considered low if her five-year risk of developing breast cancer is less than 1.6%; it is considered high if she scores above 1.66%. Aug 23, 2016 · This was the initial Gail model (also referred to as the Gail model 1), which was later modified by statisticians from the Breast Cancer Prevention Trial to better project the risk of invasive 3/5(1).
The Gail Model is a statistical breast cancer risk assessment algorithm that was developed in 1989 by Dr. Mitchell Gail and colleagues with the Biostatistics Branch of the National Cancer. The Breast Cancer Risk Assessment Macro (commonly referred to as the Gail Model) is a SAS macro that projects absolute risk of invasive breast cancer in the batch mode, according to NCI’s Breast Cancer Risk Assessment Tool (BCRAT) algorithm for specific race/ethnic groups.. Users enter data on risk factors and projection interval ages for a group of women, and the macro will return the.
Jun 26, 2012 · The Gail Model Breast Cancer Risk Assessment Tool used by the National Cancer Institute (NCI) on their website is based on the Gail Model developed by Dr. Mitchell Gail of the NCI’s Division of Cancer Epidemiology and Genetics. Medicom Health Interactive helped the NCI revolutionize the way women acquire knowledge of their risk of breast cancer by making this complicated statistical . Sep 12, 2007 · The Cuzick–Tyrer model was the most consistently accurate model for prediction of breast cancer. The Gail, Claus and BRCAPRO models all significantly underestimated risk, although with a manual approach the accuracy of Claus tables may be improved by making adjustments for other risk factors ('manual method') by subtracting from the lifetime Cited by: 146.
The Gail model has been used to predict invasive breast cancer risk in women using risk factors of age, age at menarche, age at first live birth, number of first-degree relatives with breast cancer, and number of previous benign breast biopsies. However, this model underestimates breast cancer risk.