Prognostic Factor and Survival Rate Among Breast Cancer Patients’ Post-Surgical Treatment

Prognostic Factors & Survival in Post-Surgical Breast Cancer

Abstract

Introduction: The prognosis of breast cancer patients is affected by various types of factors, such as the present stage of illness during the initial diagnosis. The goal of this study is to evaluate the biological factors that predict the outcome of breast cancer surgery for patients who have already undergone the procedure.

Methods: STATA (Software for Statistics and Data Science) was utilised to review and analyse the data from the retrospective review of the breast cancer records, which focused on post-surgical treatment patient outcomes. Patients who underwent breast cancer surgery were analysed using the “Cox Proportional Hazards Regression Model” to evaluate the factors that predict survival rates. The data analysis includes 482 breast cancer patients after surgical procedure.

Results: A total of 482 patients with breast cancer had surgical procedures from 2016 to 2019. In terms of survival rate, prognostic factors were associated with a poor prognosis for higher-grade tumours, advanced-stage breast cancers, and invasive lobular carcinoma (ILC) tumour types.

Conclusion: Several clinical and pathological factors influence the prognosis and treatment choices. Therefore, it is crucial to adopt the right screening programme to diagnose breast cancer at an early stage. Healthcare practitioners must be aware of various therapeutic methods in the management of cancer to enhance the percentage of survival in breast cancer patients.