Ovarian Cancer Mortality Predictors in Public Oncology Centers, Addis Ababa, Ethiopia: A Case–Control Study

Abstract

Multivariable logistic regression analysis identified the following factors as significant predictors of mortality among ovarian cancer patients: advanced FIGO stage, comorbidities, advanced age, nonepithelial histology, pain medication, and urban residency. Therefore, early detection through timely clinical evaluation and diagnosis and treatment should be emphasized. Moreover, patients identified with significant predictors of mortality should receive targeted clinical attention and closer follow-up to improve survival outcomes.