Etrasimod as a Monotherapy or With Concomitant Use of Corticosteroids and/or Aminosalicylates: Results From the ELEVATE UC Clinical Program
Bibliographic record
Abstract
BACKGROUND: Etrasimod is an oral, once daily (QD), selective sphingosine 1-phosphate1,4,5 receptor modulator for the treatment of moderately to severely active ulcerative colitis (UC). We assessed the benefit of etrasimod monotherapy and the impact of concomitant corticosteroids (CS) and/or 5-aminosalicylates (5-ASA) therapy. METHODS: In ELEVATE UC 52 and ELEVATE UC 12, patients with moderately to severely active UC were randomized 2:1 to etrasimod 2 mg QD or placebo for 52 and 12 weeks, respectively. Oral CS or 5-ASA were allowed at baseline. Patients in the monotherapy subgroup received etrasimod or placebo without concomitant CS and/or 5-ASA at baseline. Predefined primary (clinical remission) and key secondary efficacy endpoints aligned with those from both trials and were assessed at Week 12 and Week 52. Safety was assessed up to Week 52. RESULTS: Clinical remission rates at Weeks 12 and 52 were significantly higher for etrasimod compared with placebo in patients receiving monotherapy (Week 12: 26.2% vs 4.8%; Week 52: 35.7% vs 4.0%). Differences vs placebo were statistically significant for all predefined endpoints at both time points in patients receiving monotherapy or etrasimod with concomitant 5-ASA only (all P < .05); numerical differences, due to small sample sizes, vs placebo were observed for all endpoints in the CS only and CS + 5-ASA subgroups. Safety was consistent with the overall population. CONCLUSIONS: Etrasimod monotherapy showed consistent efficacy and safety vs placebo; no apparent benefit was observed with concomitant CS and/or 5-ASA in patients receiving etrasimod. CLINICAL TRIAL REGISTRATION: NCT03945188; NCT03996369.
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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 | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".