Effects of Vedolizumab Therapy on Extraintestinal Manifestations in Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND: Approximately 15-20% of ulcerative colitis patients and 20-40% of those with Crohn's disease experience extraintestinal manifestations (EIMs) of their inflammatory bowel disease (IBD). Clinicians who treat IBD must manage EIMs affecting multiple organs that variably correlate with intestinal disease activity. Vedolizumab is a monoclonal antibody for the treatment of IBD with a gut-selective mechanism of action. AIMS: This report evaluates whether vedolizumab is an effective treatment of EIMs, given its gut-specific mechanism of action. METHODS: We report 8 case studies of patients with various EIMs, including pyoderma gangrenosum, peripheral arthralgia/arthritis, axial arthropathies, erythema nodosum, and uveitis, who received vedolizumab therapy. RESULTS: Vedolizumab therapy was effective for pyoderma gangrenosum in ulcerative colitis, uveitis, erythema nodosum, polyarticular arthropathy, and ankylosing spondylitis/sacroiliitis but did not provide sustained benefit for the treatment of pyoderma gangrenosum in a patient with Crohn's disease. CONCLUSIONS: These cases demonstrate the potential of vedolizumab as a treatment of EIMs in patients with IBD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".