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

被引：20

作者：

Clarke, Christina L. ^{[1
]}

Kushi, Lawrence H. ^{[2
]}

Chubak, Jessica ^{[3
]}

Pawloski, Pamala A. ^{[4
]}

Bulkley, Joanna E. ^{[5
]}

Epstein, Mara M. ^{[6
,7
]}

Burnett-Hartman, Andrea N. ^{[1
]}

Powell, Bethan ^{[8
]}

Pearce, Celeste L. ^{[9
]}

Feigelson, Heather Spencer ^{[1
]}

机构：

[1] Kaiser Permanente Colorado, Inst Hlth Res, Denver, CO USA

[2] Kaiser Permanente Northern Calif, Div Res, Oakland, CA USA

[3] Kaiser Permanente Washington, Hlth Res Inst, Seattle, WA USA

[4] HealthPartners Inst, Bloomington, MN USA

[5] Kaiser Permanente Northwest, Ctr Hlth Res, Portland, OR USA

[6] Meyers Primary Care Inst, Worcester, MA USA

[7] Univ Massachusetts, Sch Med, Dept Med, Worcester, MA USA

[8] Kaiser Permanente Northern Calif, Gynecol Oncol Program, San Francisco, CA USA

[9] Univ Michigan, Sch Publ Hlth, Ann Arbor, MI 48109 USA

来源：

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION | 2019年 / 28卷 / 05期

关键词：

D O I：

10.1158/1055-9965.EPI-18-1324

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

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.

引用

页码：996 / 999

页数：4

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