Benefit–risk profile of upadacitinib: exploratory post hoc analysis of phase 2b/3 studies in patients with moderately to severely active ulcerative colitis or Crohn’s disease
Bibliographic record
Abstract
BACKGROUND AND AIMS: Upadacitinib (UPA)-an oral, reversible selective Janus kinase inhibitor-has a favorable benefit-risk profile for patients with Crohn's disease (CD) and ulcerative colitis (UC). We evaluated the benefit-risk of UPA in select subgroups with CD or UC. METHODS: Patients were randomized to UPA 45 mg (UPA45) once daily (QD) or placebo (PBO) induction for 12 (CD: U-EXCEED, U-EXCEL) or 8 weeks (UC: U-ACHIEVE, U-ACCOMPLISH). Clinical responders were re-randomized to QD UPA 15 mg (UPA15), UPA 30 mg (UPA30), or PBO for 52-week maintenance (CD: U-ENDURE; UC: U-ACHIEVE). This exploratory post hoc analysis assessed efficacy and safety outcomes (adverse events of special interest [AESIs]: serious infections, major adverse cardiovascular [CV] events, malignancies, and venous thromboembolic events) by CV risk, prior treatment failure, and age. RESULTS: This analysis included 1021 patients with CD and 1097 with UC during induction, and 673 with CD and 746 with UC during maintenance. Improved efficacy outcomes comparable to the overall study populations were observed with UPA versus PBO across subgroups. Patients receiving UPA30 generally showed numerically higher rates of improvements versus UPA15. AESI rates were generally comparable between UPA and PBO across subgroups except for numerically higher rates of herpes zoster and serious infections in CD with UPA. CONCLUSIONS: UPA resulted in consistent benefit versus placebo across CV risk, prior treatment failure, and age subgroups. No treatment differences were seen in AESIs across subgroups except herpes zoster and serious infections, reinforcing the favorable benefit-risk profile for UPA in CD and UC seen in the overall study populations. CLINICAL TRIAL NUMBERS: NCT02819635, NCT03653026, NCT03345836, NCT03345849, 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 | 0.022 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.010 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".