Quality of life and symptoms of pain in patients with endometriomas compared to those with other endometriosis lesions: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Endometriomas are genetically distinct from other endometriosis lesions and could be associated with a predisposition to excessive inflammation. However, differences in clinical presentation between types of endometriosis lesions have not been fully elucidated. This study aimed to investigate the quality of life and pain scores of patients with endometriomas compared to those with other types of endometriosis lesions. METHODS: A cross-sectional observational study was conducted between January 2020 and August 2023. Patients diagnosed with endometriosis completed the Endometriosis Health Profile 30 pain subscale questionnaire for their quality of life score and rated their endometriosis-associated pain symptoms using an 11-point numerical rating scale. The data were analyzed for comparison through multivariate linear regression models. RESULTS: A total of 248 patients were included and divided into endometrioma (81, 33%) and nonendometrioma (167, 67%) groups. The mean age of the patients was 37.1 ± 7.5 years. Most participants were Canadian or North American (84%). One-third of the patients reported experiencing up to four concurrent pain symptoms. The most reported pain included deep dyspareunia (90%), chronic pelvic pain (84%) and lower back pain (81%). The mean quality of life score was 45.9 ± 25.9. We observed no difference in quality of life scores between patients with and without endometriomas. Patients with endometriomas had lower mean scores for deep dyspareunia (0.8; 95% CI [0 to 1.5]; p = 0.049) and higher mean scores for superficial dyspareunia (1.4; 95% CI [0.2 to 2.6]; p = 0.028). Comorbid infertility (p = 0.049) was a factor that modified superficial dyspareunia intensity in patients with endometriomas. CONCLUSION: In patients with endometriosis, evidence was insufficient to conclude that the presence of endometriomas was not associated with a greater or lesser quality of life, but differences in specific symptoms of dyspareunia were identified.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".