OBJECTIVES: Community health systems (CHS) in the US play a large role in the care of patients with cancer, with over 50% of patients with cancer cared for in CHS. The profile of patients with ovarian cancer seen in CHS within the US is not widely published. This analysis describes the demographic and diagnostic staging characteristics of patients with ovarian cancer treated across a sample of CHS.

METHODS: A retrospective analysis was performed utilizing the Syapse Learning Health Network^TM (LHN), an electronic medical record (EMR) derived database that collects cancer care data from multiple care settings within CHS across 33 states, 450+ hospitals and cared for by 1,900+ community oncologists. Patients aged >18 yo at ovarian cancer diagnosis from January 1, 2010 - December 15, 2021 were identified from the LHN using ICD-10 codes. Data utilized for this analysis included both structured data (EMR fields like sex and birth date) and unstructured data (e.g physician notes) validated by Syapse’s Certified Tumor Registrars and then descriptively summarized.

RESULTS: 5,326 patients from the LHN included in the analysis. Patient demographics included: median age of 64 years at ovarian cancer diagnosis with 80% being >50 years of age; with race including 83% White, 11% Black, 3% Asian, 3% other; 6% of Hispanic/Latino ethnicity. 4,644 patients (87%) had stage at diagnosis available; 28% diagnosed in the early stages (0 - I) and 72% diagnosed in the advanced stages (II+) of ovarian cancer.

CONCLUSIONS: Patients with ovarian cancer treated in CHS within the LHN tend to be older, menopausal or post menopausal based on their age, with more than a quarter of patients diagnosed at early stage of disease. Additional analysis is planned to provide further insight into clinical characteristics and treatment patterns of patients with ovarian cancer treated within CHS.