title: Conditional survival in ovarian cancer: results from the SEER dataset 1988-2001.
abstract: OBJECTIVE
  Survival statistics for patients with ovarian cancer are typically reported in terms of survival from time of diagnosis. For patients who have survived a period of time since diagnosis, however, conditional survival (CS) is a more clinically relevant measure, as it accounts for the changes in risk over time. The purpose of this study was to estimate CS for ovarian cancer patients through analysis of large-scale cancer registry data.
  
  
  METHODS
  Ovarian cancer cases were extracted from the Surveillance, Epidemiology, and End Results (SEER 17) database from the National Cancer Institute (NCI) for patients diagnosed between 1988-2001. Five-year relative CS calculations were performed with stratification by age, race, stage, histology, and grade for patients who had already survived up to 5 years from diagnosis.
  
  
  RESULTS
  The 5-year overall relative CS improved over time for up to 5 years after diagnosis for ovarian cancer patients. The largest gains in CS over time were seen for patients with advanced stage disease, poor grade, and serous and undifferentiated epithelioid histologies. For patients with stage IV disease, 5-year CS more than tripled over the first 5 years of surveillance (17%-56%). Among histological types, patients with undifferentiated epithelioid histology saw 5-year CS rise from 29% at diagnosis to 84% after 5 years.
  
  
  CONCLUSIONS
  Prognosis improves over time for almost all groups of ovarian cancer patients. For ovarian cancer survivors, CS provides a more relevant measure of prognosis than conventional survival estimates that are made at the time of diagnosis.
authors.affiliation: Department of Radiation Oncology, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
authors.forename: Mehee
authors.initials: M
authors.lastname: Choi
authors.forename: Clifton D
authors.initials: CD
authors.lastname: Fuller
authors.forename: Charles R
authors.initials: CR
authors.lastname: Thomas
authors.forename: Samuel J
authors.initials: SJ
authors.lastname: Wang
mesh_terms: D000368:Aged; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008875:Middle Aged; D015233:Models, Statistical; D009367:Neoplasm Staging; D010051:Ovarian Neoplasms / Q000401:mortality / Q000473:pathology / Q000503:physiopathology*; D011379:Prognosis; D018570:Risk Assessment; D018426:SEER Program; D016019:Survival Analysis; D013997:Time Factors