A proof of concept that experience-based management of endometriosis can complement evidence-based guidelines
This study proposes and validates a method to quantify collective clinical experience in endometriosis management, showing it aligns with evidence-based guidelines and offers a Bayesian prior for future research.
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The paper presents a proof of concept for measuring clinicians’ experience-based management of endometriosis by treating each diagnosis and treatment decision as an “experiment” with an outcome that can update future management. Surgery-oriented clinicians with experience in more than 50 endometriosis surgeries answered experience- and knowledge-based questions on 0–10 visual analogue scales, reflecting collective management experience in over 10,000 women. The authors found experience-based management ratings were overall comparable, with more than 75% of responses scoring ≥8/10, while knowledge-based answers were more variable due to debated issues and differences between experts and non-experts. The paper explicitly frames the results as a Bayesian prior intended to be confirmed, refuted, or updated by further observations. This paper is centrally about endometriosis — it documents how collective, experience-based endometriosis management can be measured and positioned alongside evidence-based medicine.
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Cited by (8)
- The Evidence-Based Medicine Management of Endometriosis Should Be Updated for the Limitations of Trial Evidence, the Multivariability of Decisions, Collective Experience, Heuristics, and Bayesian Thinking 2025
- How to bridge the gap between evidence-based and clinical management of endometriosis 2025
- Letter to the Editor 2024
- A Call for New Theories on the Pathogenesis and Pathophysiology of Endometriosis 2024
- Les traitements chirurgicaux de l’endométriose 2024
- Endometriosis and Pelvic Pain: Understanding Medical Treatment. 2024
- Prise en charge de l’endométriose : expérience, statistiques, vérité et doux mensonges 2024
- The 10 “Cardinal Sins” in the Clinical Diagnosis and Treatment of Endometriosis: A Bayesian Approach 2023
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- europepmc
- last seen: 2026-06-12T06:13:51.797165+00:00
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
- pubmed
- last seen: 2026-05-29T00:33:19.715729+00:00