ArticleBJOG : an international journal of obstetrics and gynaecology2025
Pain Phenotypes in Endometriosis: A Population-Based Study Using Latent Class Analysis.
Article in BJOG : an international journal of obstetrics and gynaecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient characteristics and lifestyle determinants of quality of life among women with endometriosis: a systematic review.Reproduction & fertility · 2026Pooled it
- Nociception-guided opioid administration within multimodal analgesia for laparoscopic endometriosis surgery: a randomized controlled trial.Journal of clinical monitoring and computing · 2026Trial
- Multimorbidity in Chronic Overlapping Pain Conditions: From Burden to Integrated Care.Journal of clinical medicine · 2026Review
- Vitamin D deficiency and pain severity in endometriosis: a phenotype-based retrospective observational study.BMC women's health · 2026Observational
- Selected Parameters of the Mental State of Women with Endometriosis-A Systematic Review.Journal of clinical medicine · 2026Review
- Article
- Educational and occupational outcomes during early adulthood following surgically verified endometriosis at a young age-A register-based study.Acta obstetricia et gynecologica Scandinavica · 2025Article
- Pain phenotype trajectories and links to family relationship quality among black older adults.The journal of pain · 2025Article
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6 authors.
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Abstract
objectiveTo identify pain phenotypes in patients with endometriosis and investigate their associations with demographics, clinical characteristics, comorbidities and pain-related quality of life (QoL).
designCross-sectional, single-centre, population-based study.
settingReferral university centre in Quebec City, Canada. POPULATION: Patients diagnosed with endometriosis were enrolled consecutively between January 2020 and April 2024.
methodsLatent class analysis was used to identify pain phenotypes. A three-step approach of latent class analysis, involving logistic regression models, was applied to assess the associations between pain phenotypes and demographics, clinical characteristics, comorbidities and pain-related QoL.
main outcome measuresPain phenotypes; demographic, clinical and comorbidity predictors of phenotype membership; association between QoL and pain phenotypes.
resultsA total of 352 patients were included. Two pain phenotypes were identified with distinct clinical presentations: one (54% of the participants) with more severe and frequent pain symptoms and poorer QoL and the other (46% of the participants) with mild and less frequent pain symptoms. The high pain phenotype was associated with previous treatment failure, painkiller use, familial history of endometriosis, low annual family income and comorbidities, including painful bladder, fibromyalgia, migraines, lower back pain, irritable bowel syndrome, anxiety and depression or mood disorders. The presence of endometrioma was associated with the low pain phenotype. Phenotype membership was associated with distinct QoL profiles (p < 0.001). The mean QoL score was higher in the high pain phenotype (59; 95% CI, 56-62) than in the low pain phenotype (33; 95% CI, 29-37).
conclusionPatients with endometriosis can be categorised into two distinct phenotypes that correlate with QoL and patient characteristics. Validation in other populations is necessary and could aid the development of specialised or personalised interventions.
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