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

Clarke, Christina L.
Kushi, Lawrence H.
Chubak, Jessica
Pawloski, Pamala A.
Bulkley, Joanna E.
Epstein, Mara M
Burnett-Hartman, Andrea N.
Powell, Bethan
Pearce, Celeste L.
Spencer Feigelson, Heather
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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.

Source

Cancer Epidemiol Biomarkers Prev. 2019 May;28(5):996-999. doi: 10.1158/1055-9965.EPI-18-1324. Epub 2019 Apr 9. Link to article on publisher's site

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10.1158/1055-9965.EPI-18-1324
PubMed ID
30967418
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