Comparative analysis between the gail, tyrer-cuzick and BRCAPRO models for breast cancer screening in Brazilian population

Abstract

Objective: To analyze the diagnostic accuracy of predictive models of breast cancer risk for the Brazilian population. Method: A cross-sectional, study was conducted in a sample of 382 women aged 35-69 years who were users of the Unified Health System (SUS) residing in a municipality in southern Brazil. Results: The results showed that the Tyrer-Cuzick model had the highest mean risk values and estimates (proportion) for predicting the 5-year risk of breast cancer, reaching a maximum risk of 01.63% in the 60-64 year age group. For the 90-year risk, a maximum risk of 012.8% was predicted for the 50-54 year age group using this model. The 5-year risk calculated by the three tools increased progressively with increasing age, where the mean risk was 00.8% in women aged 35-39 and reached 01.50% in women aged 65-69. The 90-year risk declined with increasing age only in the Tyrer-Cuzick model, from 010.8% to 09%. The BRCAPRO model presented a greater sensitivity compared to the Gail and Tyrer-Cuzick models. And, the model that presented greater specificity was Gail. Conclusion: The Tyrer-Cuzick model presented the highest risk estimates for 5 years and 90 years in the studied population, however, this data is not enough to validate this tool, since when analyzing the sensitivity and specificity the BRCAPRO and Gail have the highest values respectively.