The Expanding Therapeutic Armamentarium for Inflammatory Bowel Disease: How to Choose the Right Drug[s] for Our Patients?
Bibliographic record
Abstract
The therapeutic landscape for inflammatory bowel disease [IBD] is rapidly evolving. Two new biologic drugs, vedolizumab and ustekinumab, have recently entered the marketplace, the first biosimilars have been introduced, and several other agents are at an advanced stage of clinical development. In parallel, therapeutic goals have shifted from symptom control towards mucosal healing and prevention of bowel damage. In the coming years, gastroenterologists will be faced with unprecedented choices when selecting the best treatment for their patients with IBD. In this article, we review existing data on the mechanisms of action, efficacy, and safety of recently approved and late-stage pipeline therapies, and use this information to speculate on the positioning of these drugs, alone or in combination, in therapeutic algorithms for Crohn's disease and ulcerative colitis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".