title: Diabetes mellitus is a multivariate independent prognostic factor in endometrial carcinoma: a clinicopathologic study on 313 patients.
abstract: OBJECTIVE
  The aim of this study was to analyse the influence of diabetes mellitus as a prognostic factor for overall survival in endometrial cancer.
  
  
  METHODS
  Charts were reviewed from patients with endometrial carcinoma from 1985 to 2003. Data on clinicopathologic variables, adjuvant treatment, site of recurrence and survival were collected. The chi-square test was used to examine associations between variables. The Kaplan-Meier method was used for survival analysis and Cox's proportional hazards model for multiple regression analysis.
  
  
  RESULTS
  Multivariate analysis revealed that diabetes mellitus, FIGO stage and depth of myometrial invasion were significantly associated with overall survival.
authors.affiliation: Department of Obsterics and Gynaecology , Johannes Gutenberg-University, Mainz, Germany.
authors.forename: E
authors.initials: E
authors.lastname: Steiner
authors.forename: K
authors.initials: K
authors.lastname: Plata
authors.forename: C
authors.initials: C
authors.lastname: Interthal
authors.forename: M
authors.initials: M
authors.lastname: Schmidt
authors.forename: A
authors.initials: A
authors.lastname: Faldum
authors.forename: J G
authors.initials: JG
authors.lastname: Hengstler
authors.forename: N
authors.initials: N
authors.lastname: Sakuragi
authors.forename: H
authors.initials: H
authors.lastname: Watari
authors.forename: R
authors.initials: R
authors.lastname: Yamamoto
authors.forename: H
authors.initials: H
authors.lastname: Kölbl
mesh_terms: D000328:Adult; D000368:Aged; D015897:Comorbidity; D003920:Diabetes Mellitus / Q000453:epidemiology*; D016889:Endometrial Neoplasms / Q000453:epidemiology* / Q000473:pathology*; D005260:Female; D005858:Germany / Q000453:epidemiology; D006801:Humans; D008875:Middle Aged; D015999:Multivariate Analysis; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D011379:Prognosis; D016016:Proportional Hazards Models; D012189:Retrospective Studies; D016019:Survival Analysis; D016387:Women's Health