Real-World Effectiveness and Safety of Selective JAK Inhibitors in Ulcerative Colitis and Crohn’s Disease: A Retrospective, Multicentre Study
Bibliographic record
Abstract
Background/Objectives: Data on the real-world effectiveness and safety of selective JAK inhibitors (JAKis) in ulcerative colitis (UC) and Crohn’s disease (CD) are limited. Methods: We conducted a multicentre, retrospective study to assess clinical, biochemical, and endoscopic outcomes of selective JAKis in bio-experienced UC and CD. Results: A total of 246 patients (mean age: 40.5 ± 14.5 years; 131 UC and 115 CD) were included with a median follow-up of 7.5 months. Among the CD patients receiving upadacitinib (n = 115), 76.2% achieved clinical remission (CR) at week 12. Furthermore, 59.5% of the upadacitinib-treated UC patients (n = 100) experienced CR at week 8. Corticosteroid-free CR (CSFCR) was achieved by 76.9% of the CD patients and 80.6% of the UC patients at week 24, while 50.0% and 36.1% experienced endoscopic remission. At week 52, 66.7% of the CD and 86.2% of the UC patients achieved CSFCR, whereas 54.5% and 52.9% had endoscopic remission. In UC, the effectiveness of upadacitinib was not compromised by prior tofacitinib failure, while the upadacitinib-treated CD patients with stricturing and penetrating disease were less likely to achieve CR by the end of the induction phase (p = 0.04). C-reactive protein (p[CD] < 0.0001; p[UC] < 0.0001) and faecal calprotectin (p[CD] < 0.0001; p[UC] = 0.02) decreased significantly in both patient groups as early as week 2. Among the filgotinib-treated UC patients (n = 31), 28.6% were in CR at week 12. At week 24 and 52, 59.1% and 60% achieved CSFCR, while 0.0% and 20.0% had endoscopic remission. Both C-reactive protein (p = 0.04) and faecal calprotectin (p = 0.04) decreased significantly by week 12. Hyperlipidaemia (9.7–9.8%) was the most common adverse event. Conclusions: Selective JAKis are rapidly effective and safe for treating refractory, moderate-to-severe CD and UC.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".