Prognostic Factors Influencing Survival in Ovarian Cancer Patients: A 10-Year Retrospective Study

5Citations
Citations of this article
21Readers
Mendeley users who have this article in their library.

Abstract

Objective: To analyze the factors associated with overall survival (OS) and progression-free survival (PFS) in patients with ovarian cancer in Cyprus. Methods: We retrospectively analyzed data from patients with histologically confirmed epithelial ovarian cancer (EOC) and primary peritoneal cancer (PPC). Results: A total of 106 women diagnosed with ovarian cancer were included, with a median age at diagnosis of 58 years. The Kaplan–Meier survival analysis showed a median OS of 41 months (95% C.I = 36.9, 45.1), and the FIGO stage (p < 0.001), type of surgery (p < 0.001) and performance status (p < 0.001) were identified as statistically significant prognostic factors for OS. PFS analysis revealed the FIGO stage (p = 0.006) and the performance status (p < 0.001) as significant prognostic factors. Additionally, a Cox regression analysis for median OS was performed for patients with high-grade serous carcinoma, identifying the performance status, FIGO stage, and type of surgery as prognostic factors in univariate analysis. However, in the subsequent multivariate analysis, the performance status and the FIGO stage were confirmed to be the only statistically significant prognostic factors for OS (p < 0.05). Conclusions: This study confirms that the FIGO stage, performance status, and surgery type were considered as prognostic factors for OS in ovarian cancer.

Cite

CITATION STYLE

APA

Andreou, M., Kyprianidou, M., Cortas, C., Polycarpou, I., Papamichael, D., Kountourakis, P., & Giannakou, K. (2023). Prognostic Factors Influencing Survival in Ovarian Cancer Patients: A 10-Year Retrospective Study. Cancers, 15(24). https://doi.org/10.3390/cancers15245710

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free