Please use this identifier to cite or link to this item:
Title: Validation of the Gail model for predicting individual breast cancer risk in a prospective nationwide study of 28,104 Singapore women
Authors: Chay, W.Y.
Ong, W.S.
Tan, P.H.
Jie Leo, N.Q.
Ho, G.H.
Wong, C.S. 
Chia, K.S. 
Chow, K.Y.
Tan Sr, M.
Ang Sr, P.
Issue Date: 30-Jan-2012
Citation: Chay, W.Y., Ong, W.S., Tan, P.H., Jie Leo, N.Q., Ho, G.H., Wong, C.S., Chia, K.S., Chow, K.Y., Tan Sr, M., Ang Sr, P. (2012-01-30). Validation of the Gail model for predicting individual breast cancer risk in a prospective nationwide study of 28,104 Singapore women. Breast Cancer Research 14 (1) : -. ScholarBank@NUS Repository.
Abstract: Introduction: The Gail model (GM) is a risk-assessment model used in individual estimation of the absolute risk of invasive breast cancer, and has been applied to both clinical counselling and breast cancer prevention studies. Although the GM has been validated in several Western studies, its applicability outside North America and Europe remains uncertain. The Singapore Breast Cancer Screening Project (SBCSP) is a nation-wide prospective trial of screening mammography conducted between Oct 1994 and Feb 1997, and is the only such trial conducted outside North America and Europe to date. With the long-term outcomes from this study, we sought to evaluate the performance of GM in prediction of individual breast cancer risk in a Asian developed country.Methods: The study population consisted of 28,104 women aged 50 to 64 years who participated in the SBSCP and did not have breast cancer detected during screening. The national cancer registry was used to identify incident cases of breast cancer. To evaluate the performance of the GM, we compared the expected number of invasive breast cancer cases predicted by the model to the actual number of cases observed within 5-year and 10-year follow-up. Pearson's Chi-square test was used to test the goodness of fit between the expected and observed cases of invasive breast cancers.Results: The ratio of expected to observed number of invasive breast cancer cases within 5 years from screening was 2.51 (95% confidence interval 2.14 - 2.96). The GM over-estimated breast cancer risk across all age groups, with the discrepancy being highest among older women aged 60 - 64 years (E/O = 3.53, 95% CI = 2.57-4.85). The model also over-estimated risk for the upper 80% of women with highest predicted risk. The overall E/O ratio for the 10-year predicted breast cancer risk was 1.85 (1.68-2.04).Conclusions: The GM over-predicts the risk of invasive breast cancer in the setting of a developed Asian country as demonstrated in a large prospective trial, with the largest difference seen in older women aged between 60 and 64 years old. The reason for the discrepancy is likely to be multifactorial, including a truly lower prevalence of breast cancer, as well as lower mammographic screening prevalence locally. © 2011 Chay et al.; licensee BioMed Central Ltd.
Source Title: Breast Cancer Research
ISSN: 14655411
DOI: 10.1186/bcr3104
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.