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Cancer Epidemiol Biomarkers Prev. 2019 May;28(5):996-999. doi: 10.1158/1055-9965.EPI-18-1324. Epub 2019 Apr 9.

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

Author information

1
Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado. Christina.L.Clarke@kp.org.
2
Division of Research, Kaiser Permanente Northern California, Oakland, California.
3
Health Research Institute, Kaiser Permanente Washington, Seattle, Washington.
4
HealthPartners Institute, Bloomington, Minnesota.
5
Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon.
6
Meyers Primary Care Institute, Worcester, Massachusetts.
7
Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
8
Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado.
9
Gynecologic Oncology Program, Kaiser Permanente Northern California, San Francisco, California.
10
School of Public Health, University of Michigan, Ann Arbor, Michigan.

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.

PMID:
30967418
PMCID:
PMC6500478
[Available on 2020-05-01]
DOI:
10.1158/1055-9965.EPI-18-1324

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