Unknown

Dataset Information

Predictors of survival trajectories among women with epithelial ovarian cancer.


ABSTRACT:

Objective

Although ovarian cancer is a deadly disease, approximately a third of women survive ≥9 years after diagnosis. The factors associated with achieving long-term survival are not well understood. In this study, data from the Surveillance, Epidemiology, and End Results (SEER) program were used to determine predictors of survival trajectories among women with epithelial ovarian cancer and across histotype (high-grade serous carcinoma (HGSC) and non-HGSC).

Methods

Data on 35,868 women diagnosed with epithelial ovarian cancer in 2004-2016 were extracted from SEER. Extended Cox proportional hazards regression was used to estimate overall and histotype-specific associations between patient and tumor characteristics and all-cause mortality within each survival time (t) interv

SUBMITTER: Peres LC 

PROVIDER: S-EPMC7771334 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature