期刊
GENETICS AND MOLECULAR BIOLOGY
卷 42, 期 1, 页码 232-237出版社
SOC BRASIL GENETICA
DOI: 10.1590/1678-4685-GMB-2018-0110
关键词
Breast neoplasms; risk assessments; family medical history; hereditary breast and ovarian cancer
资金
- CNPq, Brazil
- FAPERGS, Brazil
- Fundo de Incentivo a Pesquisa e Ensino (FIPE) do Hospital de Clinicas de Porto Alegre, Brazil
Breast cancer (BC) risk assessment models base their estimations on different aspects of a woman's personal and familial history. 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. We compared 846 unrelated women with at least one positive answer to any of the seven FHS-7 questions (positive group) and 892 unrelated women that answered negatively (negative group). Concordance between BC risk estimates was compared by Bland-Altman graphics. Mean BC risk estimates were higher using the Tyrer-Cuzick Model in women from the positive group, while women from the negative group had higher BC risk estimates using the Gail model. With increasing estimates, discordance also increased, mainly in the FHS-7 positive group. Our results show that in women with a familial history of cancer, the Gail model underestimates risk and the Tyrer-Cuzick seems to be more appropriate. FHS-7 can be a useful tool for the identification of women with higher breast cancer risks in the primary care setting.
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