Impact of Baseline Corticosteroid Use on the Efficacy and Safety of Upadacitinib in Patients with Ulcerative Colitis: A Post Hoc Analysis of the Phase 3 Clinical Trial Programme
Bibliographic record
Abstract
BACKGROUND AND AIMS: This post hoc analysis assessed the efficacy and safety of upadacitinib in patients with moderately to severely active ulcerative colitis stratified by corticosteroid use from the ulcerative colitis Phase 3 clinical trial programme. METHODS: Patients were randomised [1:2] to 8 weeks' placebo or upadacitinib 45 mg once daily; Week 8 responders were re-randomised [1:1:1] to 52 weeks' placebo or upadacitinib 15 or 30 mg daily. Corticosteroid dose was kept stable during induction but tapered according to a protocol-defined schedule [or investigator discretion] during maintenance Weeks 0-8. Efficacy outcomes and exposure-adjusted, treatment-emergent adverse event [TEAE] rates were assessed for induction and maintenance stratified by corticosteroid use at induction baseline. RESULTS: Overall, 377/988 [38%] patients were receiving corticosteroids at induction baseline [placebo, n = 133; upadacitinib 45 mg, n = 244] and 252 [37%] of the 681 clinical responders who entered maintenance were on corticosteroids at induction baseline [n = 84 for each treatment]. Similar proportions of patients receiving upadacitinib achieved clinical remission per Adapted Mayo Score with and without baseline corticosteroids at Weeks 8 and 52. The total proportion of patients re-initiating corticosteroids was higher with placebo [24/84;29%] vs upadacitinib 15 mg [16/81; 20%)] and 30 mg [11/81; 14%]. During induction, patients receiving corticosteroids at baseline had higher rates of TEAEs, serious TEAEs, and serious infections vs those not receiving corticosteroids; however, TEAE rates were similar during maintenance after corticosteroid withdrawal. CONCLUSIONS: Upadacitinib is an effective steroid-sparing treatment in patients with moderately to severely active ulcerative colitis. Clinicaltrials.gov identifiers: NCT02819635; NCT03653026.
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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 | 0.019 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.008 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".