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Record W4406542819 · doi:10.1136/flgastro-2024-102830

Landscape of anti-IL-23 therapy in inflammatory bowel disease: recent advances

2025· article· en· W4406542819 on OpenAlexaff
Michael Colwill, Jennifer Clough, Samantha Baillie, Kamal Patel, Laurent Peyrin‐Biroulet, Sailish Honap

Bibliographic record

VenueFrontline Gastroenterology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseDiseaseIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD) commonly requires advanced therapies to induce and maintain durable remission. Interleukin (IL)-23 is a proinflammatory heterodimeric cytokine composed of a p40 subunit, which is shared with IL-12 and a unique p19 subunit. There are multiple streams of evidence that implicate IL-23 in the pathogenesis and pathophysiology of IBD and it has emerged as a crucial therapeutic target in IBD and several immune-mediated inflammatory diseases. Risankizumab, mirikizumab and guselkumab are monoclonal antibodies that selectively target the IL-23p19 subunit and offer a novel mechanism of action. This narrative review summarises key efficacy and safety data from the clinical trial programmes, highlights practical implications for their use in IBD, and reviews available data regarding their positioning in the rapidly expanding landscape of IBD treatments.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.234
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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