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Cox regression model for survival analysis in patients with breast cancer in the province of Manabí, Ecuador

Abstract:

Breast cancer is a public health problem, which has been increasing, ranking as cancer with the highest incidence in women, its impact on the general population ranked second worldwide, being the most frequent malignant neoplasm in the female population and concerning deaths from cancer and affects more frequently the first world and developing countries. Observational, descriptive, and retrospective study carried out in patients diagnosed with breast cancer at the Oncological Hospital of Manabí, Ecuador. The six-year global and disease-free survival was established from the time elapsed from the diagnosis to the occurrence of an event or the date of the last contact, with a limit to December 2015. Of the 403 patients, the age limits were 15 and 90 years, with a mean of 56.08 years. The tumor size was considered, where (T1) represents 26.55%, (T2) represented 45.66%, the overall survival was 80% at 6 years. Patients in advanced stages were less likely to survive with a percentage of 43%. With the Cox regression model, it was possible to demonstrate a statistically significant association between tumor size and survival. The study shows that patients in advanced stages are less likely to survive, so efforts in health promotion must continue until detection is in curable stages.