title: African American race and low income neighborhoods decrease cause specific survival of endometrial cancer: a SEER analysis.
abstract: BACKGROUND
  This study analyzed Surveillance, Epidemiology and End Results (SEER) data to assess if socio- economic factors (SEFs) impact on endometrial cancer survival.
  
  
  METHODS
  Endometrial cancer patients treated from 2004-2007 were included in this study. SEER cause specific survival (CSS) data were used as end points. The areas under the receiver operating characteristic (ROC) curve were computed for predictors. Time to event data were analyzed with Kaplan-Meier method. Univariate and multivariate analyses were used to identify independent risk factors.
  
  
  RESULTS
  This study included 64,710 patients. The mean follow up time (S.D.) was 28.2 (20.8) months. SEER staging (ROC area of 0.81) was the best pretreatment predictor of CSS. Histology, grade, race/ethnicity and county level family income were also significant pretreatment predictors. African American race and low income neighborhoods decreased the CSS by 20% and 3% respectively at 5 years.
  
  
  CONCLUSIONS
  This study has found significant endometrial survival disparities due to SEFs. Future studies should focus on eliminating socio-economic barriers to good outcomes.
authors.affiliation: cheung.r100@gmail.com
authors.forename: Min Rex
authors.initials: MR
authors.lastname: Cheung
mesh_terms: D000230:Adenocarcinoma / Q000208:ethnology / Q000401:mortality* / Q000473:pathology; D001741:Black or African American / Q000706:statistics & numerical data*; D016889:Endometrial Neoplasms / Q000208:ethnology / Q000401:mortality* / Q000473:pathology; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008875:Middle Aged; D060787:Neoplasm Grading; D009367:Neoplasm Staging; D011203:Poverty / Q000208:ethnology*; D011379:Prognosis; D012372:ROC Curve; D018426:SEER Program; D012959:Socioeconomic Factors; D015996:Survival Rate; D014481:United States