Inflammatory bowel disease in patients with psoriasis treated with interleukin-17 inhibitors
Bibliographic record
Abstract
BACKGROUND: Interleukin 17 (IL-17) inhibitors provide an excellent treatment option for patients with psoriasis and psoriatic arthritis, resulting in high levels of efficacy for skin clearance and joint improvement. Safety has also been established in clinical trials for this group of biologic agents; however, rare case reports of exacerbation or induction of inflammatory bowel disease (IBD) have been reported in the literature. No causal relationship has been established. When IL-17 inhibitors were investigated for the management of IBD, no benefit was found and worsening of disease was noted for some patients. IBD is more common in patients with psoriasis and, therefore, it remains unknown if these drugs cause de novo IBD or if the reported cases of IBD in patients on IL-17 therapy is due to the background risk in this predisposed population who may have already had an underlying or subclinical disease. METHODS/RESULTS: A literature search was conducted for the terms 'IL-17 inhibitor,' 'ixekizumab,' 'secukinumab,' 'brodalumab' and 'inflammatory bowel disease,' 'ulcerative colitis,' and 'Crohn's disease' in PubMed and Google Scholar. Cases of new-onset or exacerbation of IBD were identified in the literature along with postmarketing pharmacovigilance data. These cases will be reviewed in this paper. CONCLUSIONS: IL-17 inhibitors have proven efficacy for the treatment of psoriasis and psoriatic arthritis with a strong safety profile. However, rare cases of IBD onset and exacerbation in patients on IL-17 inhibitors have been reported in the literature, highlighting the need to select patients and therapeutic choices appropriately when treating this population.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".