Predictors of Long-Term Survival among High-Grade Serous Ovarian Cancer Patients.

ABSTRACT: BACKGROUND:Relatively little is known about factors associated with long-term survival (LTS) following a diagnosis of ovarian cancer. METHODS:We conducted a retrospective study of high-grade serous ovarian cancer (HGSOC) to explore predictors of LTS (defined as ?7 years of survival) using electronic medical record data from a network of integrated health care systems. Multivariable logistic regression with forward selection was used to compare characteristics of women who survived ?7 years after diagnosis (n = 148) to those who died within 7 years of diagnosis (n = 494). RESULTS:Our final model included study site, age, stage at diagnosis, CA-125, comorbidity score, receipt of chemotherapy, BMI, and four separate comorbid conditions: weight loss, depression, hypothyroidism, and liver disease. Of these, only younger age, lower stage, and depression were statistically significantly associated with LTS. CONCLUSIONS:We did not identify any new characteristics associated with HGSOC survival. IMPACT:Prognosis of ovarian cancer generally remains poor. Large, pooled studies of ovarian cancer are needed to identify characteristics that may improve survival.

SUBMITTER: Clarke CL 

PROVIDER: S-EPMC6500478 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature