Phenotyping women with endometriosis pain to improve understanding the preclinical models’ relevance

In: Demetriou, L, Coxon, L, Nunez-Badinez, P, Simitsidellis, I, Gomez, R, Lunde, C, Perro, D, Krassowski, M, Garbutt, K, Allison, V, Arendt-Nielsen, L, Aziz, Q, Birch, J, Horne, A W, Hoffman, A, Sweeney, P, Becker, C, Cruz, F, Missmer, S, Zondervan, K T, Sieberg, C, Saunders, P T, Nagel, J & Vincent, K 2024, 'Phenotyping women with endometriosis pain to improve understanding the preclinical models’ relevance', IASP 2024 World Congress on Pain, Amsterdam, Netherlands, 05/08/2024 - 09/08/2024. · 2024 · W4412213446
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AI-generated summary by claude@2026-06+body, 2026-06-07

This study phenotyped women with endometriosis pain to assess the relevance of preclinical models in understanding this condition.

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AI-generated deep summary by claude@2026-06, 2026-06-07

The paper describes efforts to phenotype women with endometriosis pain in order to better understand how relevant preclinical pain models are to this condition. It focuses on characterizing patient pain features in a high-level way to provide more appropriate benchmarks for evaluating or interpreting animal or other preclinical models. A key limitation noted is that the work is aimed at improving model relevance through phenotyping, implying that translation depends on the captured pain dimensions and on the extent to which model outcomes can be matched to that phenotypic detail. This paper is centrally about endometriosis — it focuses on phenotyping endometriosis pain to assess and improve the relevance of preclinical models.

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endometriosis

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last seen: 2026-06-10T17:14:06.276822+00:00
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