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Record W2911325844 · doi:10.1093/ecco-jcc/jjy222.697

P573 Real-world effectiveness and safety of vedolizumab and anti-TNF in biologic-naive ulcerative colitis patients: Results from the EVOLVE study

2019· article· en· W2911325844 on OpenAlexaffabout
Andrés Yarur, Gerassimos J. Mantzaris, Mark S. Silverberg, Margaret Walshe, Petros Zezos, Dan J. Stein, M Bassel, T Lissoos, Claudia Lopez, Athanasios Natsios, Gabriela Radulescu, Haridarshan Patel, Dirk Demuth, Brian Bressler

Bibliographic record

VenueJournal of Crohn s and Colitis · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsSt. Paul's HospitalTakeda (Canada)Mount Sinai Hospital
Fundersnot available
KeywordsVedolizumabMedicineUlcerative colitisInfliximabAdalimumabGolimumabInternal medicineHazard ratioDiscontinuationProportional hazards modelAdverse effectCumulative incidenceInflammatory bowel diseaseColectomyConfidence intervalGastroenterologyCohortTumor necrosis factor alphaDisease

Abstract

fetched live from OpenAlex

This study aimed to compare the real-world clinical effectiveness and safety of vedolizumab (VDZ), a gut-selective anti-α4β7-integrin, and anti-tumour necrosis factor (TNF) agents in biologic (bio)-naïve ulcerative colitis (UC) patients. A retrospective chart review study was conducted in adult (≥18 years), bio-naïve UC pts treated with VDZ or anti-TNF (June 2014 to February 2018) in Canada, Greece and the USA. Data were collected from treatment (Tx) initiation to earliest of death, chart abstraction date or 6 months post-Tx discontinuation. Cumulative rates of clinical response, clinical remission, mucosal healing, Tx persistence and dose escalations were estimated over 24 months (Kaplan–Meier method). Incidence rates (per 100 person-years [PYs]) of UC exacerbations, colectomy, serious adverse events (SAEs) and serious infections (SIs) were assessed. A Cox proportional hazards model was used to compare outcomes with adjustments for baseline confounders: age, sex, albumin, C-reactive protein, disease location and duration, UC-related hospitalisations (prior 12 mo) and disease severity; adjusted hazard ratios (HR) with 95% confidence interval are reported. Overall, 527 UC patients (VDZ: 325; anti-TNF: 202 [adalimumab: 58, infliximab: 120, golimumab: 24]) from 37 sites were included (median [min–max] follow-up [mo]: VDZ, 16.1 (3.0–47.0); anti-TNF, 20.0 [3.5–50.6]). Baseline characteristics are shown in Table 1. Table 1. Baseline characteristics of real-world biologic-naive ulcerative colitis patients treated with vedolizumab and anti-TNF agents At 24 months, cumulative rates of clinical response (91% vs. 86%), clinical remission (79% vs. 66%) and mucosal healing (92% vs. 84%) were high in VDZ and anti-TNF patients, respectively, and did not differ significantly between groups. Higher Tx persistence (75% vs. 54%; p < 0.0001) and similar rates of dose escalations (25% vs. 31%; p < 0.05) occurred in VDZ vs. anti-TNF patients. The incidence rate (per 100 PYs) of UC exacerbations (28.3 vs. 43.9) and SAEs (4.9 vs. 10.4) were significantly (p < 0.05) lower in VDZ vs. anti-TNF patients but similar for colectomy (1.8 vs. 2.2) and SIs (1.9 vs. 2.2). Adjusted HR for outcomes are shown in Table 2. Table 2. Clinical effectiveness and safety of vedolizumab and anti-TNF agents in real-world biologic-naïve ulcerative colitis patients. VDZ and anti-TNF have similar rates of clinical effectiveness in bio-naïve UC patients in real-world clinical practice. Bio-naïve UC patients receiving VDZ are significantly more likely to persist with Tx and experience fewer exacerbations and SAEs than anti-TNF patients.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.246
Teacher spread0.240 · 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

Citations8
Published2019
Admission routes2
Has abstractyes

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