Elagolix reduced dyspareunia and improved health-related quality of life in premenopausal women with endometriosis-associated pain
Bibliographic record
Abstract
Objectives: The objective was to evaluate the effects of elagolix on dyspareunia in women with endometriosis-associated pain. Methods: Data were pooled from two similar, randomized, double-blind, placebo-controlled, 6-month phase 3 studies (Elaris Endometriosis-I and Elaris Endometriosis-II) of elagolix at two doses (150 mg QD and 200 mg BID) in women with endometriosis-associated pain. In this post hoc analysis, dyspareunia responders were defined as having a clinically meaningful decrease from baseline in the dyspareunia score and decreased or stable use of rescue analgesic agents, as recorded in a daily electronic diary. Sexual relationship was assessed using the 30-item Endometriosis Health Profile questionnaire sexual relationship module. Results: A total of 1384 women reported ⩾1 day of sexual activity at baseline (35 days prior to and including day 1 of treatment). Of these 1384 women, 1297 (94%) reported ⩾1 day of any dyspareunia (mild, moderate, or severe), of which 51% reported ⩾1 day of severe dyspareunia. Among sexually active women who reported any dyspareunia at baseline, both elagolix doses led to improvements in dyspareunia. Women in the 200-mg BID group showed more months at which the dyspareunia response rates were statistically significantly greater than placebo, particularly in a subgroup of women with severe dyspareunia at baseline. Compared to placebo, both elagolix doses led to statistically significantly greater improvements in the mean 30-item Endometriosis Health Profile sexual relationship module score. Conclusion: Up to 6 months of elagolix treatment improved dyspareunia in women with endometriosis-associated pain in a dose-dependent manner, with 200-mg BID dose showing the most significant improvements in dyspareunia and quality of sexual relationships compared with placebo.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".