Upadacitinib Reduces Crohn’s Disease Symptoms Within the First Week of Induction Therapy
Bibliographic record
Abstract
BACKGROUND & AIMS: Upadacitinib (UPA), an oral Janus kinase inhibitor, is approved to treat moderately to severely active Crohn's disease (CD). Because symptomatic response is an important initial treatment goal for patients, we evaluated the rapidity of symptomatic improvement in patients with CD receiving UPA 45 mg once daily (UPA45) induction therapy. METHODS: This post hoc analysis included pooled data from 2 phase 3, multicenter, double-blind, 12-week induction trials (U-EXCEL and U-EXCEED) and 1 maintenance trial (U-ENDURE). Daily diary data for the first 15 days of UPA45 or placebo (PBO) treatment were used to analyze improvement in very soft/liquid stool frequency (SF) and abdominal pain score (APS). Clinical outcomes were evaluated at every study visit. RESULTS: Overall, 1021 patients (n = 674 UPA45; n = 347 PBO) were analyzed. UPA45 demonstrated greater efficacy vs PBO for SF <3 and APS ≤1, providing rapid relief by day 5 or 6, regardless of prior biologic exposure. Mean changes in SF and APS were greater with UPA45 beginning at week 2 (-2.0 and -0.5, respectively; P < .001) and were maintained through week 12 (-3.0 and -1.0, respectively; P < .001) vs PBO. The first achievement of daily SF/APS clinical remission occurred earlier with UPA45 (median, 13 d) vs PBO (median, 32 d), and patients treated with UPA45 showed improved rates of SF/APS clinical remission (21.1% UPA45 vs 8.9% PBO) and clinical response (58.8% UPA45 vs 37.9% PBO) starting at week 2 (both P ≤ .01). CONCLUSIONS: UPA45 provided rapid relief of clinical symptoms within the first week of treatment in patients with CD. CLINICALTRIALS: gov numbers: NCT03345849, NCT03345836, and NCT03345823.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".