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Record W2911733860 · doi:10.1093/ecco-jcc/jjy222.661

P537 The impact of early disease control with vedolizumab on surgery rates among patients with Crohn’s disease: a post-hoc analysis of the GEMINI trials

2019· article· en· W2911733860 on OpenAlexaff
Parambir S. Dulai, Laurent Peyrin‐Biroulet, Kristen A. Hahn, Natasha Khalife, Dirk Lindner, Karen Lasch, Dirk Demuth, Haridarshan Patel, Vipul Jairath

Bibliographic record

VenueJournal of Crohn s and Colitis · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern University
Fundersnot available
KeywordsVedolizumabMedicineHazard ratioCrohn's diseaseInternal medicineColectomyOdds ratioDiseaseConfidence intervalProportional hazards modelSurgeryPost-hoc analysisUlcerative colitisLogistic regressionInflammatory bowel diseaseClinical trialGastroenterology

Abstract

fetched live from OpenAlex

In Crohn’s disease (CD), short disease duration is associated with greater response to anti-tumour necrosis factor α therapy. The impact of disease duration on surgery rates in vedolizumab-treated patients with CD has not been established. A clinical decision support tool (CDST) was developed using data from the GEMINI 2 trial and validated with data from the VICTORY consortium to predict clinical and endoscopic remission with vedolizumab in CD.1 Whether earlier treatment with vedolizumab reduced the risk of CD-related surgery in patients with low, intermediate, or high probability of response to vedolizumab was assessed. Individual patient data from GEMINI 2 and the open-label GEMINI long-term safety studies were evaluated. Early and late disease were defined as ≤2 vs. >2, ≤3 vs. >3, and ≤5 vs. >5 years of disease duration. CD-related surgery was defined as bowel resection and colectomy. Patients were stratified according to the CDST into low, intermediate, or high probability of response to vedolizumab, and logistic regression and Cox-proportional hazard analyses were used to assess the impact of early disease intervention with vedolizumab in these subgroups. Odds ratios (ORs) with 95% confidence intervals (CIs) are reported. A combined total of 1253 patients with CD from the GEMINI studies were included (mean [SD] age, 36.4 [12.4] years; 55.1% female), with 113 (9.0%) requiring CD-related surgery during the 7-year follow-up period. Surgical rates were 12.9%, 8.1%, and 6.0% for the low, intermediate, and high probability of vedolizumab response groups based on the CDST. Patients with low probability of response had a 2-fold (hazard ratio, 2.32; 95% CI, 1.29–4.30) increased risk of surgery while receiving vedolizumab relative to the high probability of response group. Overall, there was a trend of lower rates of CD-related surgery among patients treated earlier in their disease course (table). For the low probability of vedolizumab response group, patients with CD with a disease duration of ≤5 years had 39% lower odds of requiring CD-related surgery compared with patients with disease duration >5 years (OR, 0.61; 95% CI, 0.36–0.99). This post hoc analysis suggests that treatment of patients with CD with vedolizumab earlier in their disease course is associated with lower rates of surgery up to a 7-year time horizon, regardless of baseline probability of response to vedolizumab. Table. CD-Related Surgery Stratified by Probability of Response to Vedolizumab and Disease Durationa Reference 1. Dulai PS, Boland BS, Singh S et al. Development and validation of a scoring system to predict outcomes of vedolizumab treatment in patients with Crohn’s disease. Gastroenterology 2018;155:687–695.e10.

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)0.017
metaresearch head score (Gemma)0.020
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 score0.017
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.011
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.239
Teacher spread0.233 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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