Open AccessEvaluating the Association between Clinical Characteristics with Progression-Free Survival and 3-Year Survival in Patients with Epithelial Ovarian Cancer
Author(s) -
Brahmana Askandar Tjokroprawiro,
Sonny Fadli,
Budiono Budiono
Publication year - 2021
Publication title -
indonesian journal of cancer (e-journal)
Language(s) - English
Resource type - Journals
ISSN - 2355-6811
DOI - 10.33371/ijoc.v15i4.815
Subject(s) - medicine , stage (stratigraphy) , proportional hazards model , hazard ratio , ovarian cancer , histopathology , epithelial ovarian cancer , chemotherapy , progression free survival , oncology , survival analysis , retrospective cohort study , gastroenterology , cancer , gynecology , pathology , confidence interval , biology , paleontology
Background: This study was conducted to determine the association between clinical characteristics, progression-free survival (PFS), and 3-year survival in patients with epithelial ovarian cancer who underwent surgery in 2016-2017 at RSUD Dr. Soetomo. This study was carried out with the hope of contributing to services for patients with epithelial ovarian cancer to improve outcomes at RSUD Dr. Soetomo. Methods: This retrospective analytic study used medical record data. Survival analysis was done employing Kaplan-Meier and log-rank tests, while Cox regression was utilized to analyze characteristics, recurrence, and mortality. Results: In 2016-2017, 56 patients with epithelial ovarian cancer met the inclusion criteria. Clinical characteristics of residue, stage had significant associations with PFS (P-value of 0.007 and P-value of 0.005, respectively). Residue, stage, histopathology, and the number of chemotherapy cycles had significant associations with 3-year survival (P-value of 0.001, P-value of 3 HR: 1 (CI 95%, P-value 0.028).Conclusions: Residue and stage had statistically significant associations with PFS and can be predictors for disease recurrence. Residue, stage, histopathology, number of chemotherapy cycles had significant associations with 3-year survival, but only the latter three characteristics can be predictors for mortality