Towards a uniform classification of endometriosis: a comparative review and evidence mapping of current classification systems
This review compared existing endometriosis classification systems, finding that #Enzian offers the best anatomical framework while EFI predicts fertility, highlighting the need for a modular approach rather than a single universal system.
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This comparative review evaluated multiple endometriosis classification systems, including rASRM, #Enzian, AAGL, and others, across domains such as anatomical mapping, surgical complexity, pain, fertility, and recurrence. The authors found that no single system performed well across all clinically relevant areas, with #Enzian offering the most comprehensive anatomical framework and EFI remaining the best-validated tool for predicting spontaneous conception after surgery. While correlations with pain, quality of life, and treatment response were generally weak or inconsistent, the study highlights that current classifications remain purpose-specific and fragmented. This paper is centrally about endometriosis — specifically evaluating and comparing existing classification systems to propose a modular framework for future standardization.
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- last seen: 2026-10-02T06:07:52.067649+00:00