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Record W2024010256 · doi:10.1517/14712598.2013.770835

Vedolizumab for Crohn's disease

2013· review· en· W2024010256 on OpenAlexaff
Mahmoud Mosli, Brian G. Feagan

Bibliographic record

VenueExpert Opinion on Biological Therapy · 2013
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern UniversityRobarts Clinical Trials
Fundersnot available
KeywordsVedolizumabMedicineCrohn's diseaseExpert opinionAdverse effectDiseaseUstekinumabInflammatory bowel diseasePrednisoneMonoclonal antibodyPlaceboIntensive care medicineImmunologyInternal medicineInfliximabAntibodyAlternative medicinePathology

Abstract

fetched live from OpenAlex

INTRODUCTION: Crohn's disease (CD) is a chronic inflammatory disorder of unknown aetiology. Currently, approved therapies that include prednisone, anti-metabolites and TNF antagonists, are often ineffective and frequently cause adverse effects. As a result, patients with CD can develop serious complications that adversely affect quality of life. Consequently, new treatment options are needed. AREAS COVERED: This review discusses the potential role of vedolizumab, a humanised monoclonal antibody that selectively blocks lymphocyte trafficking to the gut, for the treatment of CD. All randomised placebo-controlled trials that evaluated vedolizumab for the treatment of CD were reviewed and safety and efficacy data evaluated. EXPERT OPINION: Vedolizumab is an effective and well-tolerated drug that is an important advance for the treatment of CD.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.125
GPT teacher head0.390
Teacher spread0.265 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations12
Published2013
Admission routes1
Has abstractyes

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