Efficacy and Safety of Advanced Oral Small Molecules for Inflammatory Bowel Disease: Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND AND AIMS: Oral small-molecule drugs [SMDs] are expanding the therapeutic landscape for inflammatory bowel disease [IBD]. This systematic review and meta-analysis summarizes the efficacy and safety of JAK inhibitor [JAKi] and sphingosine-1-phosphate [S1P] receptor modulator treatments for ulcerative colitis [UC] and Crohn's disease [CD]. METHODS: MEDLINE, Embase, and CENTRAL were searched from inception to May 30, 2022. Randomized controlled trials [RCTs] of JAKi and S1P receptor modulators in adults with UC or CD were eligible. Clinical, endoscopic, histological, and safety data were pooled and analysed using a random-effects model. RESULTS: Thirty-five RCTs [26 UC, nine CD] were included. In UC, JAKi therapy was associated with induction of clinical (risk ratio [RR] 3.16, 95% confidence interval [CI] 2.03-4.92; I2 = 65%) and endoscopic [RR 3.99, 95% CI 2.36-6.75; I2 = 36%] remission compared to placebo. Upadacitinib was associated with histological response [RR 2.63, 95% CI 1.97-3.53]. S1P modulator therapy was associated with induction of clinical [RR 2.52, 95% CI 1.88-3.39; I2 = 1%] and endoscopic [RR 2.39, 95% CI 1.07-5.33; I2 = 0%] remission relative to placebo. Ozanimod was superior to placebo for inducing histological remission in UC [RR 2.20, 95% CI 1.43-3.37; I2 = 0%], while etrasimod was not [RR 2.36, 95% CI 0.71-7.88; I2 = 0%]. In CD, JAKi therapy was superior to placebo for induction of clinical remission [RR 1.53, 95% CI 1.19-1.98; I2 = 31%], and endoscopic remission [RR 4.78, 95% CI 1.63-14.06; I2 = 43%] compared to placebo. The risk of serious infections was similar for oral SMDs and placebo. CONCLUSION: JAKi and S1P receptor modulator therapies are effective in IBD for inducing clinical and endoscopic remission and, in some circumstances, histological response.
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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 | 0.012 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.033 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".