IL23p19 therapies for moderately-to-severely active ulcerative colitis
Bibliographic record
Abstract
INTRODUCTION: Ulcerative colitis (UC) is a chronic, relapsing and remitting, inflammatory bowel disease. Monoclonal antibodies targeting interleukin (IL)-23p19 have been developed to treat chronic inflammatory diseases mediated by aberrant IL23/Th17 responses, including psoriasis, psoriatic arthritis, and Crohn's disease. More recently, these agents have been evaluated for the treatment of moderately-to-severely active UC. AREAS COVERED: In this review, we summarize and discuss phase 2 and pivotal phase 3 clinical trials informing the efficacy and safety of mirikizumab (AMAC, LUCENT, and SHINE), risankizumab (INSPIRE, COMMAND), and guselkumab (QUASAR, VEGA). The literature search included original research publications, secondary publications, and preliminary data from conference abstracts presented at international gastroenterology meetings from the past 5 years. EXPERT OPINION: The approval of IL23p19 antagonists expands the armamentarium of effective and safe therapies for patients living with moderately-to-severely active UC. These agents demonstrate potent efficacy for both inducing and maintaining symptomatic and objective disease endpoints, including endoscopic, histologic, and biomarker remission. These well-tolerated agents are effective in both advanced treatment-naïve and experienced patients. Accordingly, IL23p19 antagonists have the potential to be used in a diverse population of patients with UC, and as potential platform therapies for future combinations with other targeted immunomodulatory agents.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.008 | 0.003 |
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".