RESUMO
OBJECTIVE: To identify factors associated with delays in beginning adjuvant therapy and prognosis impacts on non-metastatic breast cancer patients. METHODS: This assessment comprised a prospective cohort study concerning breast cancer patients treated at a public oncology centre. A time interval of ≥60 days between surgery and the beginning of the first adjuvant treatment was categorised as a delay. Factors associated with delays were evaluated through logistic regression analysis and the prognosis effects were assessed by a Cox regression analysis. RESULTS: The median time interval between surgery and the first adjuvant treatment for the 401 women included in this study was of 57.0 days (37.0-93.0). Independent factors associated with delays comprised not presenting an overexpression of the HER-2 protein, not having undergone neoadjuvant chemotherapy, and having undergone chemotherapy or other therapeutic modalities other than hormone therapy and chemotherapy as the first adjuvant treatment. Delays did not affect recurrence, distant metastasis, or death risks. Factors associated with recurrence and distant metastasis risks comprised a clinical staging ≥2B, having undergone neoadjuvant chemotherapy, presenting the luminal molecular subtype B and triple-negative tumours, and having children. Factors associated with death comprised triple-negative molecular tumours and neoadjuvant chemotherapy. CONCLUSION: Delays in beginning adjuvant treatment did not affect the prognosis of non-metastatic breast cancer patients. Clinical and treatment-related factors, on the other hand, were associated with delays, and recurrence, distant metastasis, and death risks.
RESUMO
This objective this study was to identify the time interval between breast cancer (BC) diagnosis and treatment initiation and delay-associated factors. This is a prospective cohort study that followed breast cancer patients, enrolled and treated at the cancer center in Rio de Janeiro (RJ) - Brazil, from October 02, 2014 to April 30, 2015. Participants were interviewed at the first consultation. Treatment-related information was collected six months after recruitment. The median and interquartile range (IQR) were calculated. The interval between breast cancer diagnosis and treatment initiation of more than 60 days was considered the delay, according to the maximum term determined by Brazilian law. The association between independent variables and the outcome was performed using the crude odds ratios (OR). Variables presenting p < .20 in the univariate analysis were included in the multiple logistic regression model by the stepwise forward method, and those with p < .05 were retained in the final model. A total of 470 patients were included in the study. The median time was of 127 days (IQR: 85- 174). Delay was observed in 89.1% of the cases. After adjustment, the variables associated with delay were age ≥ 60 years (OR: 2.48; 95% CI 1.22-5.06), initial clinical staging (<2B) (OR: 2.01; 95% CI 1.05-3.86) and residence outside the city of Rio de Janeiro (OR: 2.75; 95% CI 1.38-5.51). Delays in starting treatment were associated with sociodemographic and clinical factors. Improving patient quality of care and restructuring the health service can minimise delays.
