Efficacy and Safety of Upadacitinib During Induction in Crohn’s disease: Real-World Experience
Bibliographic record
Abstract
Abstract Background Upadacitinib is a selective JAK1 inhibitor that has recently been approved for treatment of moderate-severe Crohn’s disease, with Phase III clinical trials showing positive efficacy and safety profiles. Aim Our aim was to evaluate the real-world experience of upadacitinib in a refractory cohort of Canadian patients with Crohn’s disease. Methods This was a two-centre retrospective study looking at 12-week induction data for patients with active Crohn’s disease from McGill University Health Centre and Hamilton Health Sciences. The primary outcome was clinical remission at 12 weeks, with secondary outcomes including clinical response, biochemical remission, and biochemical response. These parameters were all evaluated at 8 and 12 weeks. Adverse events were summarized for patients who had follow up data available and included in the efficacy analysis. Results There were 28 patients who were treated in total. Five patients discontinued upadacitinib due to no response or side effects. Clinical remission was achieved at 12 weeks in nine patients (9/12, 75%). Clinical response was achieved in nine patients (9/12, 75%), biochemical remission was achieved in five patients (5/13, 38.5%), and biochemical response was achieved in seven patients (7/13, 53.8%). Adverse events were observed in three patients (3/15, 20%), with two having non-serious infections (2/15, 13.3%) and one having fevers of unknown origin (1/15, 6.67%). Conclusion This real-world multicentre Canadian induction study shows favourable efficacy and tolerability of upadacitinib in refractory active Crohn’s disease.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".