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Record W4406091021 · doi:10.58931/cibdt.2024.2333

S1PR Modulators in the Management of Ulcerative Colitis: Considerations for Practice

2024· article· en· W4406091021 on OpenAlexaff
Aaron Hass, Robert Battat

Bibliographic record

VenueCanadian IBD Today · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsUlcerative colitisColitisMedicineIntensive care medicineInternal medicineDisease

Abstract

fetched live from OpenAlex

Sphingosine-1-phosphate receptor (S1PR) modulators are novel oral small-molecule therapies that offer a unique profile compared to other advanced therapies in the treatment of ulcerative colitis (UC), including oral administration, linear pharmacokinetic profiles, reduced immunogenicity, and lower costs associated with manufacturing. The activation of S1P G-protein coupled receptors plays an inflammatory role in UC by promoting lymphocyte egress from lymphoid organs into circulation and colonic mucosa. S1PR modulators lead to internalization and degradation of these receptors, thereby reducing inflammation. Ozanimod was the first S1PR modulator approved for treating moderately-to-severely active UC and is also approved for multiple sclerosis. More recently, a second agent, etrasimod, was approved for UC. Etrasimod acts on different S1PR subtypes to avoid off target vascular and cardiac effects, has no up-titration regimen during initiation, a shorter half-life and less propensity for drug interactions. This review summarizes clinical trial and real-world data and provides guidance on the clinical uses of S1PR modulators.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.003

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.

Opus teacher head0.012
GPT teacher head0.263
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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