Impact of Prior Biologic or Janus Kinase Inhibitor Therapy on Efficacy and Safety of Etrasimod in the ELEVATE UC 52 and ELEVATE UC 12 Trials
Bibliographic record
Abstract
BACKGROUND AND AIMS: Etrasimod is an oral, once daily, selective, sphingosine 1-phosphate [S1P]1,4,5 receptor modulator for the treatment of moderately to severely active ulcerative colitis [UC]. This subgroup analysis evaluated the efficacy and safety of etrasimod 2 mg once daily vs placebo by prior biologic/Janus kinase inhibitor [bio/JAKi] exposure in ELEVATE UC 52 and ELEVATE UC 12. METHODS: Pre-defined efficacy endpoints were assessed at Weeks 12 and 52 in ELEVATE UC 52 and Week 12 in ELEVATE UC 12 in bio/JAKi-naïve and -experienced patients, and at Week 12 [pooled] based on prior advanced therapy exposure mechanism. RESULTS: In the ELEVATE UC 52 and ELEVATE UC 12 analysis populations, 80/274 [29.2%] and 74/222 [33.3%] patients receiving etrasimod and 42/135 [31.1%] and 38/112 [33.9%] patients receiving placebo, respectively, were bio/JAKi-experienced. In both bio/JAKi-naïve and -experienced patients, a significantly greater proportion receiving etrasimod vs placebo achieved clinical remission [p < 0.05] in ELEVATE UC 52 at Weeks 12 [naïve: 30.9% vs 9.7%; experienced: 17.5% vs 2.4%] and 52 [naïve: 36.6% vs 7.5%; experienced: 21.3% vs 4.8%]; in ELEVATE UC 12, this was observed only for bio/JAKi-naïve patients [naïve: 27.7% vs 16.2%, p = 0.033; experienced: 18.9% vs 13.2%, p = 0.349]. Similar patterns were observed for most efficacy endpoints. Among patients with prior anti-integrin exposure [N = 90], a significantly greater proportion achieved clinical response [54.1% vs 27.6%, p = 0.030], but not clinical remission [9.8% vs 3.4%, p = 0.248], with etrasimod vs placebo. CONCLUSIONS: Bio/JAKi-naïve and -experienced patients had clinically meaningful induction and maintenance treatment benefits with etrasimod vs placebo. CLINICALTRIALS.GOV: NCT03945188; NCT03996369.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".