Análise de sobrevivência ao câncer de mama na região da Grande Cuiabá

Abstract

Breast cancer is the second most frequent tumor in the world and in the Brazilian female population, representing almost 25% of all cancers in women. Breast cancer, if diagnosed and treated in its initial phase, has a good prognosis and chances of cure, but it should be noted that breast cancer mortality rates remain high in Brazil. OBJECTIVE: To analyze the overall survival in five and ten years of women with breast cancer from data from the incidence of the RCBP Cuiabá, from 2000 to 2007, considering the cases of zero survival. METHODS: A population-based, retrospective, observational cohort study was performed using a survival analysis, based on 1,120 cases of women with breast cancer, reported in the RCBP Cuiabá database from 2000-2007. The Kaplan Meier Estimator was used for the survival analysis, the influence of the independent variables on the survival time was done using the Cox proportional hazards model and for the comparison of the survival curves the Log-rank test was used. RESULTS: The survival rates found in this population at 05 and 10 years were 72.31% and 62.42%, respectively. These values were lower than most of the comparative studies. In the Log-Rank test, there were statistically significant differences in the survival curves between the 60 years group and the age groups of 30 to 39 years (p = 0.007), 40 to 49 years (p <0.001), and 50 to 59 Years (p = 0.001). There was also a difference between the white / non-white race / color category (p <0.001) and between the histological groups other neoplasms and ductal and lobular neoplasms (p = 0.002). In the final model of multivariate regression, the RR was 0.62 times higher in the age group 60 years when compared to the age group of 40-49 years; for the race / color category the risk was 0.39 times greater than for non-white women compared to white; for morphology the other neoplasia group presented a 1.37-fold higher risk in relation to the group of ductal and lobular neoplasms. CONCLUSION: Survival rates found in the Grande Cuiabá region were lower than most of the comparative studies. The present study also reflects the conviction that it is possible to work with secondary data, which can be useful to characterize the demand profile and to estimate the survival, showing that these have the potential to reflect the local reality.