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PTH-065 Effect of vedolizumab treatment on extraintestinal manifestations in patients with crohn’s disease: a gemini 2 post hoc analysis

2017· article· en· W6921985695 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern University
Fundersnot available
KeywordsPost-hoc analysisHazard ratioPost hocConfoundingPrednisoneProportional hazards modelVedolizumab

Abstract

fetched live from OpenAlex

Introduction Reported rates of extraintestinal manifestations (EIMs) in patients (pts) with Crohn’s disease (CD) are 37%–55%.1,2 This post hoc exploratory analysis investigated the effect of vedolizumab (VDZ) treatment on existing and new EIMs in patients with CD enrolled in GEMINI 2 (NCT00783692). Method Outcomes were sustained resolution of existing EIMs (absence of symptoms, sustained to study end), worsening of existing EIMs and occurrence of new EIMs. For arthritis/arthralgia (ar/ar), Kaplan–Meier estimates were used to describe ‘time to sustained resolution’. A multivariate Cox regression adjusting for confounding factors was conducted. The effect of steroid tapering on new or worsening ar/ar was explored, using prednisone equivalent dose (≤30 mg) as a time-dependent covariate. Results Pts received VDZ (n=814), VDZ/placebo (VDZ/PLA: VDZ to Week 6, PLA Weeks 6–52; n=153) or PLA only (n=148). Rates of EIMs other than ar/ar were too low for further analysis. Predicted annual rates of sustained resolution of ar/ar were 51% (VDZ), 41% (VDZ/PLA) and 36% (PLA). VDZ pts were 32% more likely to achieve sustained resolution of ar/ar versus PLA pts, and 21% less likely to have a worsening/new occurrence (Table, both non-significant [NS]). In pts receiving corticosteroids (CS; n=530), adjustment for CS withdrawal resulted in an ~4% increased likelihood of new or worsening ar/ar in all groups (30 mg dose reduction hazard ratio [HR] 1.04 [95% CI: 0.67–1.60], NS). Hazard reduction for the VDZ groups versus PLA was similar (VDZ, 0.73 [95% CI: 0.44–1.22], NS; VDZ/PLA, 0.72 [95% CI: 0.37–1.39], NS). Conclusion In this post hoc exploratory analysis, there were trends for both a reduced incidence of new or worsening ar/ar and an increased rate of sustained resolution of ar/ar in pts receiving VDZ. CS tapering increased the probability of ar/ar in all groups. References . Lakatos L, et al. World J Gastroenterol2003;9:2300 . Zippi M, et al. World J Gastroenterol2014;20:17463 Disclosure of Interest B. Feagan Conflict with: Abbott/AbbVie, Amgen, Astra Zeneca, Bristol-Myers Squibb (BMS), Janssen Biotech (Centocor), JnJ/Janssen, Roche/Genentech, Millennium, Pfizer, Receptos, Santarus, Sanofi, Tillotts, UCB Pharma, Conflict with: Abbott/AbbVie, ActoGeniX, Akros, Albireo Pharma, Amgen, Astra Zeneca, Avaxia Biologics Inc., Avir Pharma, Axcan, Baxter Healthcare Corp., Biogen Idec, Boehringer-Ingelheim, Bristol-Myers Squibb, Calypso Biotech, Celgene, Elan/Biogen, enGene, Ferring Pharma, Roche/Genentech, gICare Pharma, Gilead, Given Imaging Inc., GSK, Ironwood Pharma, Janssen Biotech (Centocor), JnJ/Janssen, Kyowa Hakko Kirin Co Ltd., Lexicon, Lilly, Lycera BioTech, Merck, Mesoblast Pharma, Millennium, Nektar, Nestles, Novo Nordisk, Pfizer, Prometheus Therapeutics and Diagnostics, Protagonist, Receptos, Salix Pharma, Serono, Shire, Sigmoid Pharma, Synergy Pharma Inc., Takeda, Teva Pharma, TiGenix, Tillotts, UCB Pharma, Vertex Pharma, VHsquared Ltd., Warner Chilcott, Wyeth, Zealand, Zyngenia, Conflict with: Director of Robarts Clinical Trials Inc.; member of advisory boards Abbott/AbbVie, Amgen, Astra Zeneca, Avaxia Biologics Inc., Bristol-Myers Squibb, Celgene, Centocor Inc., Elan/Biogen, Ferring, JnJ/Janssen, Merck, Nestles, Novartis, Novo Nordisk, Pfizer, Prometheus Laboratories, Protagonist, Salix Pharma, Takeda, Teva, TiGenix, Tillotts Pharma AG, UCB Pharma, W Sandborn Conflict with: Janssen, AbbVie, Pfizer, Amgen, Genentech, Conflict with: Janssen, AbbVie, Pfizer, Amgen, Genentech, Takeda, Conflict with: Lecture fee(s): AbbVie, Takeda, J.-F. Colombel Conflict with: Intestinal Biotech Development, Genfit, Conflict with: AbbVie, Janssen and Janssen, Genentech, Takeda, Conflict with: AbbVie, Amgen, Boehringer-Ingelheim, Celgene Corporation, Celltrion, Enterome, Ferring, Genentech, Janssen and Janssen, Medimmune, Merck and Co., Pfizer, Protagonist, Second Genome, Seres, Takeda, Theradiag, Conflict with: Lecture fee(s): AbbVie, Ferring, Takeda, Shire, S O’Byrne Conflict with: Takeda Pharmaceuticals International AG, J Khalid Conflict with: Takeda Development Centre Europe Ltd, N Brayshaw Conflict with: Takeda Development Centre Europe Ltd, P Geransar Conflict with: Takeda Pharmaceuticals International AG, D Rubin Conflict with: AbbVie Inc., Bristol-Myers Squibb, Centocor/Janssen Pharmaceuticals, Inc., Cornerstones Health, Inc., Elan Pharmaceuticals, Emmi, Given Imaging, Ironwood, Lifecore Biomedical, LLC, Prometheus Pharmaceuticals, Santarus, Shire, Takeda-Millennium, Telsar Pharmaceuticals, UCB Pharma, Vertex Pharmaceuticals, Warner Chilcott

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)0.006
metaresearch head score (Gemma)0.006
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 score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.005
GPT teacher head0.246
Teacher spread0.241 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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