Efficacy and Safety of Upadacitinib for Perianal Fistulizing Crohn’s Disease: A Post Hoc Analysis of 3 Phase 3 Trials
Bibliographic record
Abstract
BACKGROUND & AIMS: Efficacy of upadacitinib, an oral Janus kinase inhibitor, for moderate-to-severe Crohn's disease was demonstrated in phase 3 induction (U-EXCEL, U-EXCEED) and maintenance (U-ENDURE) trials; this post hoc analysis evaluated upadacitinib outcomes in patients with fistulizing disease in these studies. METHODS: Patients were randomized (2:1) to once daily upadacitinib 45 mg or placebo for 12 weeks. Upadacitinib 45 mg clinical responders were rerandomized (1:1:1) to upadacitinib 15 mg, upadacitinib 30 mg, or placebo for 52 weeks. In patients with fistulas (any and perianal), resolution of drainage, closure of external openings, clinical remission, endoscopic response, and safety were assessed. RESULTS: Of 1021 patients in U-EXCEL and U-EXCEED, 143 (14.0%) had any fistulas at baseline (66 draining); of these, most (n = 128) had perianal fistulas (56 draining). Greater proportions of patients receiving upadacitinib vs placebo achieved resolution of drainage of perianal fistulas at the end of induction (placebo: 5.6%, n/n = 1/18; upadacitinib 45 mg: 44.7%, n/n = 17/38; P = .003) and maintenance (placebo: 0%, n/n = 0/11; upadacitinib 15 mg: 28.6%, n/n = 4/14; P = .105; upadacitinib 30 mg: 23.1%, n/n = 3/13; P = .223) and closure of perianal fistula external openings (for induction, placebo: 4.8%, n/n = 2/42; upadacitinib 45 mg: 22.1%, n/n = 19/86; P = .013; for maintenance, placebo: 0%, n/n = 0/30; upadacitinib 15 mg: 18.8%, n/n = 6/32; P = .024; upadacitinib 30 mg: 16.0%, n/n = 4/25; P = .037). CONCLUSION: Patients with fistulizing disease (primarily perianal) treated with upadacitinib achieved higher rates of resolution of drainage, closure of external openings, clinical remission, and endoscopic response vs placebo. CLINICALTRIALS: gov, Numbers: NCT03345849 (U-EXCEL), NCT03345836 (U-EXCEED), NCT03345823 (U-ENDURE).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".