Efficacy and safety of elagolix with add-back therapy in women with uterine fibroids and coexisting adenomyosis
Bibliographic record
Abstract
OBJECTIVE: To determine if coexisting adenomyosis limits the efficacy of elagolix, an oral gonadotropin-releasing hormone antagonist, with hormonal add-back therapy in reducing heavy menstrual bleeding in women with uterine fibroids. DESIGN: Pooled analysis of two identical, double-blind, randomized, placebo-controlled, 6-month phase 3 trials (Elaris Uterine Fibroids [UF]-1 and UF-2). SETTING: A total of 153 gynecological clinical care settings in the United States and Canada. PATIENTS: Premenopausal women (18-51 years) with >80 mL of menstrual blood loss (MBL)/cycle and uterine fibroids with and without coexisting adenomyosis diagnosed by ultrasound and/or magnetic resonance imaging at baseline. INTERVENTIONS: Participants were randomized 1:1:2 to placebo, elagolix 300 mg twice daily alone, or elagolix 300 mg twice daily with estradiol 1 mg/norethindrone acetate 0.5 mg once daily. MAIN OUTCOME MEASURES: The primary endpoint was the proportion of women who had <80 mL of MBL during the final month and ≥50% reduction in MBL from baseline to the final month. Adverse events were monitored. RESULTS: Of 786 women treated across the two trials, 16% (126 women) had coexisting adenomyosis. Among this subset, a significantly greater proportion of women who received elagolix with add-back therapy (77.1% [95% confidence interval, 66.2, 88.0]) met both primary endpoint criteria compared with women who received placebo (12.2% [95% confidence interval, 1.0, 23.4]). Adverse events most frequently reported in the elagolix with add-back adenomyosis subset were hot flushes (18.3%), nausea (11.7%), and night sweats (8.3%). CONCLUSIONS: Elagolix with add-back therapy significantly reduced heavy menstrual bleeding in women with uterine fibroids and coexisting adenomyosis, suggesting that elagolix efficacy was not adversely affected by the presence of adenomyosis (Elaris UF-1 and UF-2 Clinical-Trials.gov numbers, NCT02654054 and NCT02691494).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".