Disparities in treatment and survival among elderly ovarian cancer patients

Gynecol Oncol. 2018 Nov;151(2):269-274. doi: 10.1016/j.ygyno.2018.08.041. Epub 2018 Sep 22.

Abstract

Objective: To determine correlation between race and receipt of optimal treatment for ovarian cancer and the impact of this on overall survival.

Methods: Using SEER-linked Medicare database, women 66 and older diagnosed with advanced ovarian cancer between 2002 and 2011 were identified. Patients with unclear histology, diagnosed on autopsy and without Medicare Parts A and B were excluded. We used Chi-square test for categorical variables, F test for continuous variables, and multivariable logistic regression to identify characteristics associated with receipt of surgery and chemotherapy. Kaplan-Meier analysis was used to compare overall survival rates. Cox Proportional Hazards regression was performed to identify factors associated with 5-year survival.

Results: 9016 ovarian cancer patients were included. 2638 had primary chemotherapy, 4854 had primary surgery, and 1524 had no treatment. 7653 (84.9%) were white, 572 (6.3%) black, 479 (5.3%) Hispanic, and 312 (3.5%) were of other race/ethnicity. More white patients (57.2%) received both chemotherapy and surgery compared to black (39.9%), Hispanic (48.9%), or other (54.2%) (p < .001). Receipt of either only surgery or chemotherapy, or receipt of neither, resulted in higher risk of death when compared to receipt of both. On multivariable analysis, black (OR 0.58 [0.46-0.73]) and Hispanic (0.69 [0.54-0.88]) patients were less likely to receive both chemotherapy and surgery. Being of black race was significantly correlated with worse overall survival [HR 1.13 (1.03-1.23); p = .02].

Conclusions: Non-white women are less likely to receive the standard of care treatment for ovarian cancer and more likely to die from their disease than white women.

Keywords: Ovarian cancer; Ovarian cancer treatment disparities; Racial disparities.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Black or African American / statistics & numerical data
  • Female
  • Healthcare Disparities / statistics & numerical data*
  • Hispanic or Latino / statistics & numerical data
  • Humans
  • Kaplan-Meier Estimate
  • Ovarian Neoplasms / ethnology*
  • Ovarian Neoplasms / mortality
  • Ovarian Neoplasms / therapy*
  • SEER Program
  • United States / epidemiology
  • White People / statistics & numerical data