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Classification algorithm of patients with endometriosis: Proposal for tailored management
Stefano Cosma1, Chiara Benedetto1
1Gynecology and Obstetrics, Department of Surgical Sciences, City of Health and Science, University of Torino, Italy.
This study simplifies endometriosis management by creating a diagnostic-therapeutic algorithm. It integrates current guidelines to standardize treatment for pain or infertility, improving patient care.
Area of Science:
- Gynecology
- Reproductive Medicine
- Medical Guidelines
Background:
- Endometriosis presents unique management challenges due to uncertainty and controversy.
- Advancements in diagnostics, medications, and assisted reproductive techniques have not simplified care without an integrated approach.
Purpose of the Study:
- To provide clinicians with a simplified, updated tool for selecting diagnostic-therapeutic pathways for endometriosis.
- To develop a standardized algorithm integrating multidisciplinary care scenarios.
Main Methods:
- Comparative analysis of 3 international and 5 national endometriosis guidelines.
- Extraction and mapping of overlapping recommendations to create a care pathway algorithm.
- Classification of patients based on endometriosis type, stage, predominant health problem, and fertility potential.
Main Results:
- Development of a simplified diagnostic-therapeutic care pathway algorithm.
- Identification of 9 distinct patient classes, each linked to evidence-based treatment recommendations (medical, surgical, or assisted reproductive techniques).
Conclusions:
- The proposed algorithm standardizes endometriosis treatment planning.
- This tool aims to reduce inappropriate treatments by offering a clear, evidence-based approach.
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