An evaluation of guselkumab for the treatment of ulcerative colitis
Bibliographic record
Abstract
INTRODUCTION: Interleukin (IL)-23 is a cytokine implicated in the pathogenesis of ulcerative colitis (UC). Guselkumab, a selective IL-23 antagonist, was approved for the treatment of moderately-to severely active UC in 2024/5. AREAS COVERED: The review briefly summarizes the pathophysiology of the IL-23 pathway and summarizes the available evidence on the efficacy and safety of guselkumab in UC. We discuss future challenges and clinical dilemmas in the use of guselkumab. EXPERT OPINION: Guselkumab has demonstrated efficacy across all endpoints with a favorable safety profile. No direct comparisons are available between individual IL-23 antagonists or with ustekinumab, the IL-12/23 antagonist, which limits decision-making in clinical practice. Combining two biologics as advanced combination treatment is an attractive strategy to break the therapeutic efficacy ceiling in UC - a proof-of-concept phase 2 trial combining guselkumab and golimumab has shown promise, the combination is currently undergoing evaluation in a larger ongoing trial.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".