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The association between socioeconomic status and tumour stage at diagnosis of ovarian cancer: A pooled analysis of 18 case-control studies

  • on behalf of the Ovarian Cancer Association Consortium
  • , on behalf of the Australian Ovarian Cancer Study Group
  • Danish Cancer Society
  • University of Copenhagen
  • Queensland Institute of Medical Research
  • Peter Maccallum Cancer Centre
  • Yale University
  • Fred Hutchinson Cancer Research Center
  • University of Washington
  • Dartmouth College
  • Cedars-Sinai Medical Center
  • University of Pittsburgh
  • University of Texas Health Science Center at Houston
  • Mayo Clinic Rochester, MN
  • University of Kansas
  • Brigham and Women’s Hospital
  • Harvard University
  • University of Virginia
  • Duke University
  • Rutgers - The State University of New Jersey, New Brunswick
  • New Jersey State Cancer Registry
  • Radboud University Nijmegen
  • National Institutes of Health
  • University of Cambridge
  • Stanford University
  • University of California at Irvine
  • University College London
  • University of Southern California
  • University of Michigan, Ann Arbor
  • Memorial Sloan-Kettering Cancer Center
  • German Cancer Research Center

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Purpose: Socioeconomic status (SES) is a known predictor of survival for several cancers and it has been suggested that SES differences affecting tumour stage at diagnosis may be the most important explanatory factor for this. However, only a limited number of studies have investigated SES differences in tumour stage at diagnosis of ovarian cancer. In a pooled analysis, we investigated whether SES as represented by level of education is predictive for advanced tumour stage at diagnosis of ovarian cancer, overall and by histotype. The effect of cigarette smoking and body mass index (BMI) on the association was also evaluated. Methods: From 18 case-control studies, we obtained information on 10,601 women diagnosed with epithelial ovarian cancer. Study specific odds ratios (ORs) with corresponding 95% confidence intervals (CI) were obtained from logistic regression models and combined into a pooled odds ratio (pOR) using a random effects model. Results: Overall, women who completed ≤high school had an increased risk of advanced tumour stage at diagnosis compared with women who completed >high school (pOR 1.15; 95% CI 1.03-1.28). The risk estimates for the different histotypes of ovarian cancer resembled that observed for ovarian cancers combined but did not reach statistical significance. Our results were unchanged when we included BMI and cigarette smoking. Conclusion: Lower level of education was associated with an increased risk of advanced tumour stage at diagnosis of ovarian cancer. The observed socioeconomic difference in stage at diagnosis of ovarian cancer calls for further studies on how to reduce this diagnostic delay.

Original languageEnglish
Pages (from-to)71-79
Number of pages9
JournalCancer Epidemiology
Volume41
DOIs
StatePublished - Apr 1 2016

Keywords

  • Epidemiology
  • Ovarian cancer
  • Pooled analysis
  • Socioeconomic status
  • Tumour stage

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