Time to Diagnosis and Treatment for Ovarian Cancer and Associations with Outcomes: A Systematic Review.

Victoria M White, Rebecca J Bergin, Jon D Emery, Dallas R English, Roger L Milne, Deirdre O'Sullivan, Suzanne Dixon-Suen

Journal: Journal of women's health (2002) 2024;33(9):1185-1197

PMID: 38976232

Abstract

Ovarian cancer is commonly diagnosed symptomatically at an advanced stage. Better survival for early disease suggests improving diagnostic pathways may increase survival. This study examines literature assessing diagnostic intervals and their association with clinical and psychological outcomes. Medline, EMBASE, and EmCare databases were searched for studies including quantitative measures of at least one interval, published between January 1, 2000 and August 9, 2022. Interval measures and associations (interval, outcomes, analytic strategy) were synthesized. Risk of bias of association studies was assessed using the Aarhus Checklist and ROBINS-E tool. In total, 65 papers (20 association studies) were included and 26 unique intervals were identified. Interval estimates varied widely and were impacted by summary statistic used (mean or median) and group focused on. Of Aarhus-defined intervals, patient (symptom to presentation, = 23; range [median]: 7-168 days) and diagnostic (presentation to diagnosis, = 22; range [median]: 7-270 days) were most common. Nineteen association studies examined survival or stage outcomes with most, including five low risk-of-bias studies, finding no association. Studies reporting intervals for ovarian cancer diagnosis are limited by inconsistent definitions and reporting. Greater utilization of the Aarhus statement to define intervals and appropriate analytic methods is needed to strengthen findings from future studies.

Address: Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.; Department of General Practice and Primary Care, Centre for Cancer Research, University of Melbourne, Victorian Comprehensive Cancer Centre, Melbourne, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.; School of Exercise & Nutrition Sciences, Deakin University, Burwood, Australia.; Department of General Practice and Primary Care, Centre for Cancer Research, University of Melbourne, Victorian Comprehensive Cancer Centre, Melbourne, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Australia.; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Australia.; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia.; School of Psychology, Deakin University, Burwood, Australia.; Centre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Australia.

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