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Record W2545034339 · doi:10.1016/j.cgh.2016.08.044

Efficacy of Vedolizumab Induction and Maintenance Therapy in Patients With Ulcerative Colitis, Regardless of Prior Exposure to Tumor Necrosis Factor Antagonists

2016· article· en· W2545034339 on OpenAlexaff
Brian G. Feagan, David T. Rubin, Silvio Danese, Séverine Vermeire, Brihad Abhyankar, Serap Sankoh, Alexandra James, Michael Smyth

Bibliographic record

VenueClinical Gastroenterology and Hepatology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsVedolizumabMedicineUlcerative colitisPlaceboInternal medicineGastroenterologyInflammatory bowel diseaseMaintenance therapyTumor necrosis factor alphaChemotherapyDiseasePathology

Abstract

fetched live from OpenAlex

BACKGROUND & AIMS: The efficacy and safety of vedolizumab, a humanized immunoglobulin G1 monoclonal antibody against the integrin α4β7, were demonstrated in multicenter, phase 3, randomized, placebo-controlled trials in patients with moderately to severely active ulcerative colitis (UC) or Crohn's disease. We analyzed data from 1 of these trials to determine the effects of vedolizumab therapy in patients with UC, based on past exposure to anti-tumor necrosis factor-α (TNF) antagonists. METHODS: We performed a post hoc analysis of data from the GEMINI 1 study, collected from 464 patients who received vedolizumab or placebo but had not received a previous TNF antagonist (naive to TNF antagonists) and 367 patients with an inadequate response, loss of response, or intolerance to TNF antagonists (failure of TNF antagonists). Predefined outcomes of GEMINI 1 were evaluated in these subpopulations. RESULTS: At Week 6, there were greater absolute differences in efficacy between vedolizumab and placebo in patients naive to TNF antagonists than patients with failure of TNF antagonists, although the risk ratios (RRs) for efficacy were similar for each group. Week 6 rates of response to vedolizumab and placebo were 53.1% and 26.3%, respectively, among patients naive to TNF antagonists (absolute difference, 26.4%; 95% confidence interval [CI], 12.4-40.4; RR, 2.0; 95% CI, 1.3-3.0); these rates were 39.0% and 20.6%, respectively, in patients with failure of TNF antagonists (absolute difference, 18.1%; 95% CI, 2.8-33.5; RR, 1.9; 95% CI, 1.1-3.2). During maintenance therapy, the absolute differences were similar but the RR for efficacy was higher for patients with failure of TNF antagonists than for patients naive to TNF antagonists, for most outcomes. Week 52 rates of remission with vedolizumab and placebo were 46.9% and 19.0%, respectively, in patients naive to TNF antagonists (absolute difference, 28.0%; 95% CI, 14.9-41.1; RR, 2.5; 95% CI, 1.5-4.0) and 36.1% and 5.3%, respectively, in patients with failure of TNF antagonists (absolute difference, 29.5%; 95% CI, 12.8-46.1; RR, 6.6; 95% CI, 1.7-26.5). No differences in adverse events were observed among groups. CONCLUSIONS: Vedolizumab demonstrated significantly greater efficacy as induction and maintenance therapy for UC than placebo in patients naive to TNF antagonists and patients with TNF antagonist failure. There were numerically greater treatment differences at Week 6 among patients receiving vedolizumab who were naive to TNF antagonists than patients with TNF antagonist failure. ClinicalTrials.gov no: NCT00783718.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.269
Teacher spread0.257 · 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 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

Citations221
Published2016
Admission routes1
Has abstractno

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