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Updated: Nov 10, 2025
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Establishment of an Experimental Mouse Model of Endometrioma to Study its Related Infertility
Published on: April 5, 2024
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Development and Validation of Clinical Prediction Models for Surgical Success in Patients With Endometriosis:
Nadine Marlin1, Carol Rivas2, John Allotey3
1Pragmatic Clinical Trials Unit, Centre for Primary Care and Public Health, Queen Mary University of London, London, United Kingdom.
JMIR Research Protocols
|April 5, 2021
Summary
This study aims to identify women with endometriosis who will benefit from surgery by developing predictive models. These models will aid clinicians in improving diagnosis and treatment decisions for better patient outcomes.
Area of Science:
- Gynecology
- Surgical Outcomes Research
- Medical Informatics
Background:
- Endometriosis affects 6-10% of reproductive-aged women, causing chronic pelvic pain, infertility, and reduced quality of life (QoL).
- Despite its prevalence, endometriosis is poorly understood, leading to delayed diagnosis and treatment.
- Surgery is a management option, but predicting surgical success, particularly pain reduction, remains challenging.
Purpose of the Study:
- To determine which women with confirmed endometriosis benefit from surgical improvement in pain and QoL.
- To identify if pre-laparoscopy clinical symptoms can predict surgical benefit.
Main Methods:
- Systematic literature review and meta-analysis of observational studies on endometriosis risk factors and postsurgical success.
- Development of separate clinical prediction models for confirmed and suspected endometriosis diagnoses using linear regression.
- External validation of models using three large databases and stakeholder co-design workshops for implementation planning.
Main Results:
- The study was funded in March 2018 and approved in December 2019.
- Data analysis was underway at the time of writing, with results anticipated in April 2021.
Conclusions:
- This research pioneers the prediction of surgical benefit in endometriosis patients.
- Developed models will serve as validated clinical support tools for enhanced decision-making in endometriosis diagnosis and treatment.
