title: Cervical carcinoma in the elderly: an analysis of patterns of care and outcome.
abstract: BACKGROUND
  Advanced age often is considered a poor prognostic factor for cervical carcinoma. The authors investigated the patterns of care and treatment outcomes of elderly women with cervical carcinoma.
  
  
  METHODS
  A hospital-based tumor registry was used to identify patients with invasive cervical carcinoma who were treated between 1986 and 2003. Patients were divided into 2 cohorts: women age < 70 years and women age > or = 70 years. Survival was examined using the Kaplan-Meier method. Single and multivariate Cox proportional hazards modeling was used to estimate hazard ratios with 95% confidence intervals (95% CI).
  
  
  RESULTS
  In total, 1582 patients were identified, including 1385 patients age < 70 years and 197 patients age > or = 70 years. The elderly patients presented with more advanced stage tumors at diagnosis (P <0.0001) and were more likely to have nonsquamous neoplasms (P=0.002). A marked difference in treatment was noted for the elderly cohort, even after stratifying by disease stage. Only 16% of the older patients underwent surgical treatment compared with 54% of the younger patients (P <0.0001). Elderly women were 9 times more likely to receive no treatment (P <0.0001). In a multivariate model of known prognostic factors, the hazard ratio for death from any cause in women age > 70 years was 2.1 (95% CI, 1.5-3.0). The hazard ratio for death from cervical carcinoma in the elderly women was 1.6 (95% CI, 1.1-2.5).
  
  
  CONCLUSIONS
  Age is an important factor in the allocation of treatment and survival for patients with cervical carcinoma. Elderly women with cervical carcinoma are more likely to receive primary radiotherapy, to forego treatment, and to die from their disease.
authors.affiliation: Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, Missouri 63110, USA. wrightj@msnotes.wustl.edu
authors.forename: Jason D
authors.initials: JD
authors.lastname: Wright
authors.forename: Randall K
authors.initials: RK
authors.lastname: Gibb
authors.forename: Sajeena
authors.initials: S
authors.lastname: Geevarghese
authors.forename: Matthew A
authors.initials: MA
authors.lastname: Powell
authors.forename: Thomas J
authors.initials: TJ
authors.lastname: Herzog
authors.forename: David G
authors.initials: DG
authors.lastname: Mutch
authors.forename: Perry W
authors.initials: PW
authors.lastname: Grigsby
authors.forename: Feng
authors.initials: F
authors.lastname: Gao
authors.forename: Kathryn M
authors.initials: KM
authors.lastname: Trinkaus
authors.forename: Janet S
authors.initials: JS
authors.lastname: Rader
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002277:Carcinoma / Q000401:mortality / Q000473:pathology / Q000532:radiotherapy*; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008875:Middle Aged; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D011379:Prognosis; D012042:Registries / Q000706:statistics & numerical data*; D016019:Survival Analysis; D016896:Treatment Outcome; D002583:Uterine Cervical Neoplasms / Q000401:mortality / Q000473:pathology / Q000532:radiotherapy*