Rapid symptomatic improvement with etrasimod in ulcerative colitis: a post-hoc analysis of the ELEVATE UC program
Bibliographic record
Abstract
INTRODUCTION: Rapid symptom relief is an important consideration for patients with ulcerative colitis (UC) experiencing a flare. Etrasimod is an oral, once-daily, selective sphingosine 1-phosphate1,4,5 receptor modulator for the treatment of moderately to severely active UC. We evaluated patient-reported symptomatic improvement from patients in the ELEVATE UC program. METHODS: This study was a post-hoc analysis of pooled daily e-diary data from patients with moderately to severely active UC receiving etrasimod or placebo in the phase III ELEVATE UC 52 and ELEVATE UC 12 trials. During the 12-week induction periods, patients self-reported stool frequency and rectal bleeding on days 1-28. Daily symptomatic response and symptomatic remission were calculated (partial modified Mayo Score). RESULTS: Overall, 787 patients (527 receiving etrasimod, 260 placebo) were included in the analysis. Etrasimod-treated patients had statistically significantly higher rates of symptomatic response and symptomatic remission during the first 28 days of therapy, with adjusted differences (95% CIs) reaching statistical significance from day 2 (5.6% [0.8-10.3], P = .022) to day 11 (4.7% [0.4-9.0], P = .034), respectively. In patients naïve to biologic/Janus kinase inhibitor therapy, symptomatic response was statistically significantly improved with etrasimod vs placebo from day 3 (8.9% [2.3-15.5], P = .008). Symptomatic improvement rates were similar with and without concomitant corticosteroid use. CONCLUSIONS: In this post-hoc analysis, improvements in UC symptoms occurred in patients receiving etrasimod vs placebo from as early as day 2. These findings indicate a rapid onset of symptomatic effect with etrasimod treatment for moderately to severely active UC. CLINICALTRIALS.GOV NUMBERS: 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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".