Journal article

Identifying Ovarian Cancer in Symptomatic Women: A Systematic Review of Clinical Tools

Garth Funston, Victoria Hardy, Gary Abel, Emma J Crosbie, Jon Emery, Willie Hamilton, Fiona M Walter

Cancers | MDPI | Published : 2020

Abstract

In the absence of effective ovarian cancer screening programs, most women are diagnosed following the onset of symptoms. Symptom-based tools, including symptom checklists and risk prediction models, have been developed to aid detection. The aim of this systematic review was to identify and compare the diagnostic performance of these tools. We searched MEDLINE, EMBASE and Cochrane CENTRAL, without language restriction, for relevant studies published between 1 January 2000 and 3 March 2020. We identified 1625 unique records and included 16 studies, evaluating 21 distinct tools in a range of settings. Fourteen tools included only symptoms; seven also included risk factors or blood tests. Four t..

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Grants

Awarded by Cancer Research UK


Awarded by NIHR Manchester Biomedical Research Centre


Funding Acknowledgements

This research arises from the CanTest Collaborative, which is funded by Cancer Research UK [C8640/A23385], of which G.F. is Clinical Research Fellow, V.H. is a PhD student, G.A. is the Senior Statistician, J.E. is Associate Director, andW.H. and F.M.W. are Directors. E.J.C. is supported through the NIHR Manchester Biomedical Research Centre (IS-BRC-1215-20007). The funders of this study had no role in the study design, data collection, data analysis, data interpretation, or writing of the report.