Literature DB >> 27737840

Estimating the Prevalence of Ovarian Cancer Symptoms in Women Aged 50 Years or Older: Problems and Possibilities.

Zhuoyu Sun, Lucy Gilbert, Antonio Ciampi, Jay S Kaufman, Olga Basso.   

Abstract

Diagnostic testing is recommended in women with "ovarian cancer symptoms." However, these symptoms are nonspecific. The ongoing Diagnosing Ovarian Cancer Early (DOVE) Study in Montreal, Quebec, Canada, provides diagnostic testing to women aged 50 years or older with symptoms lasting for more than 2 weeks and less than 1 year. The prevalence of ovarian cancer in DOVE is 10 times that of large screening trials, prompting us to estimate the prevalence of these symptoms in this population. We sent a questionnaire to 3,000 randomly sampled women in 2014-2015. Overall, 833 women responded; 81.5% reported at least 1 symptom, and 59.7% reported at least 1 symptom within the duration window specified in DOVE. We explored whether such high prevalence resulted from low survey response by applying inverse probability weighting to correct the estimates. Older women and those from deprived areas were less likely to respond, but only age was associated with symptom reporting. Prevalence was similar in early and late responders. Inverse probability weighting had a minimal impact on estimates, suggesting little evidence of nonresponse bias. This is the first study investigating symptoms that have proven to identify a subset of women with a high prevalence of ovarian cancer. However, the high frequency of symptoms warrants further refinements before symptom-triggered diagnostic testing can be implemented.
© The Author 2016. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  mail survey; nonresponse; nonresponse bias; ovarian cancer symptoms; prevalence

Mesh:

Year:  2016        PMID: 27737840      PMCID: PMC5100831          DOI: 10.1093/aje/kww086

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  33 in total

1.  Estimating the relative risk in cohort studies and clinical trials of common outcomes.

Authors:  Louise-Anne McNutt; Chuntao Wu; Xiaonan Xue; Jean Paul Hafner
Journal:  Am J Epidemiol       Date:  2003-05-15       Impact factor: 4.897

2.  Contribution of follow-up of nonresponders to prevalence and risk estimates: a Norwegian respiratory health survey.

Authors:  Jan Brøgger; Per Bakke; Geir E Eide; Amund Gulsvik
Journal:  Am J Epidemiol       Date:  2003-03-15       Impact factor: 4.897

3.  Symptom triggered screening for ovarian cancer: a pilot study of feasibility and acceptability.

Authors:  Barbara A Goff; Kimberly A Lowe; Jeannette C Kane; Marissa D Robertson; Marcia A Gaul; M Robyn Andersen
Journal:  Gynecol Oncol       Date:  2011-11-06       Impact factor: 5.482

4.  The use of weights to account for non-response and drop-out.

Authors:  Michael Höfler; Hildegard Pfister; Roselind Lieb; Hans-Ulrich Wittchen
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-04       Impact factor: 4.328

5.  Adjusting for nonresponse bias corrects overestimates of food allergy prevalence.

Authors:  Lianne Soller; Moshe Ben-Shoshan; Daniel W Harrington; Megan Knoll; Joseph Fragapane; Lawrence Joseph; Yvan St Pierre; Sebastien La Vieille; Kathi Wilson; Susan J Elliott; Ann E Clarke
Journal:  J Allergy Clin Immunol Pract       Date:  2015-01-14

Review 6.  An area-based material and social deprivation index for public health in Québec and Canada.

Authors:  Robert Pampalon; Denis Hamel; Philippe Gamache; Mathieu D Philibert; Guy Raymond; André Simpson
Journal:  Can J Public Health       Date:  2012-04-30

7.  The effect of multiple reminders on response patterns in a Danish health survey.

Authors:  Anne I Christensen; Ola Ekholm; Peter L Kristensen; Finn B Larsen; Anker L Vinding; Charlotte Glümer; Knud Juel
Journal:  Eur J Public Health       Date:  2014-05-22       Impact factor: 3.367

8.  Experience of symptoms indicative of gynaecological cancers in UK women.

Authors:  E L Low; A E Simon; J Waller; J Wardle; U Menon
Journal:  Br J Cancer       Date:  2013-07-23       Impact factor: 7.640

9.  Risk of ovarian cancer in women with symptoms in primary care: population based case-control study.

Authors:  William Hamilton; Tim J Peters; Clare Bankhead; Deborah Sharp
Journal:  BMJ       Date:  2009-08-25

10.  Identifying symptoms of ovarian cancer: a qualitative and quantitative study.

Authors:  C R Bankhead; C Collins; H Stokes-Lampard; P Rose; S Wilson; A Clements; D Mant; S T Kehoe; J Austoker
Journal:  BJOG       Date:  2008-07       Impact factor: 6.531

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