Journal article
Predicting disease recurrence in patients with endometriosis: an observational study
Sarah J Holdsworth-Carson, Jessica Chung, Dorothy A Machalek, Rebecca Li, Byung Kyu Jun, Meaghan J Griffiths, Molly Churchill, Tristan McCaughey, Debbie Nisbet, Uri Dior, Jacqueline F Donoghue, Grant W Montgomery, Charlotte Reddington, Jane E Girling, Martin Healey, Peter AW Rogers
BMC Medicine | BMC | Published : 2024
Abstract
BACKGROUND: Despite surgical and pharmacological interventions, endometriosis can recur. Reliable information regarding risk of recurrence following a first diagnosis is scant. The aim of this study was to examine clinical and survey data in the setting of disease recurrence to identify predictors of risk of endometriosis recurrence. METHODS: This observational study reviewed data from 794 patients having surgery for pelvic pain or endometriosis. Patients were stratified into two analytic groups based on self-reported or surgically confirmed recurrent endometriosis. Statistical analyses included univariate, followed by multivariate logistic regression to identify risk factors of recurrence, ..
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Awarded by National Health and Medical Research Council
Funding Acknowledgements
We thank research nurses and research assistants (Royal Women's Hospital) for recruiting participants and collecting data. Thank-you to the nurses, surgeons, pathologists, theatre and booking staff at The Royal Women's Hospital. Most of all, thank you to the patients who generously agreed to donate their time and information to this study.