Etrasimod for the symptomatic relief of ulcerative colitis: a post-hoc analysis from the ELEVATE UC clinical programme
Bibliographic record
Abstract
OBJECTIVE: receptor modulator for the treatment of moderately to severely active UC. We assessed outcomes related to symptomatic relief among patients with moderately to severely active UC in the phase III ELEVATE UC clinical programme. METHODS: In both ELEVATE UC 52 and ELEVATE UC 12, adults were randomly assigned (2:1) to etrasimod 2 mg QD or placebo. Symptomatic remission, symptomatic response, complete symptomatic remission, SF and RB were evaluated at each trial visit. Bowel urgency and abdominal pain were also assessed (weeks 12 and 52). RESULTS: Significantly more patients receiving etrasimod were in symptomatic remission and symptomatic response at weeks 12 and 52 versus placebo (all p<0.001). Improvements from baseline in RB and SF subscores were significantly greater in those receiving etrasimod versus placebo from weeks 2 (ELEVATE UC 12) and 4 (ELEVATE UC 52). Similarly, a significantly greater number of patients in the etrasimod versus placebo group were in complete symptomatic remission. At weeks 12 and 52, the number of patients achieving clinically meaningful improvements in bowel urgency, bowel urgency remission and abdominal pain remission was significantly greater for etrasimod versus placebo (all p<0.05). CONCLUSION: Etrasimod was efficacious in improving symptoms of UC from week 2; improvements were maintained through week 52. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov: 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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.000 | 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) | 0.008 | 0.001 |
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".