Reducing time to diagnosis does not improve outcomes for women with symptomatic ovarian cancer: a report from the Australian Ovarian Cancer Study Group

J Clin Oncol. 2011 Jun 1;29(16):2253-8. doi: 10.1200/JCO.2010.32.2164. Epub 2011 May 2.

Abstract

Purpose: To determine if time to diagnosis is associated with stage of disease at diagnosis or survival among women with symptomatic ovarian cancer.

Methods: A representative sample of Australian women (n = 1,463) with ovarian cancer diagnosed between 2002 and 2005 who participated in a population-based case-control study were interviewed regarding the events leading to their diagnosis and were observed for mortality for 5 years.

Results: Of the 1,318 women (90%) who presented to a medical practitioner with symptoms, 55% presented within 1 month, 70% in less than 2 months, and 92% within 6 months of symptom onset. There were no significant differences in the time from symptom onset to first medical practitioner consultation (P = .19) or symptom onset to diagnosis (P = .64) among women with borderline, early (International Federation of Gynecology and Obstetrics [FIGO] stages I to II) or late (FIGO stages III to IV) disease. There was also no association between time to diagnosis and survival; adjusted hazard ratio for long delay (> 12 months from symptom onset to diagnosis) versus short delay (≤ 1 month) was 0.94 (95% CI, 0.68 to 1.30). Women who had asymptomatic cancers diagnosed incidentally (n = 145) were younger and were more likely to have borderline or stage I disease compared with women who had symptomatic ovarian cancer.

Conclusion: The results of this study suggest that, once ovarian cancer is symptomatic, reducing the time to diagnosis would not greatly alter stage of disease at diagnosis or survival.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Australia
  • Case-Control Studies
  • Early Detection of Cancer*
  • Female
  • Humans
  • Middle Aged
  • Neoplasm Staging
  • Ovarian Neoplasms / diagnosis*
  • Ovarian Neoplasms / mortality*
  • Proportional Hazards Models