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Record W4390614931 · doi:10.1097/meg.0000000000002690

Effectiveness and safety of vedolizumab and infliximab in biologic-naive patients with Crohn’s disease: results from the EVOLVE study

2023· article· en· W4390614931 on OpenAlexaffabout
Gerassimos J. Mantzaris, Brian Bressler, Shashi Adsul, Michelle Luo, Chris Colby, Neil R. Brett, Sumit Saha, Pravin Kamble, Song Wang, Andrés Yarur

Bibliographic record

VenueEuropean Journal of Gastroenterology & Hepatology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsTakeda (Canada)St. Paul's Hospital
Fundersnot available
KeywordsVedolizumabMedicineInfliximabInternal medicineCrohn's diseaseAdverse effectIncidence (geometry)Hazard ratioGastroenterologyUlcerative colitisInflammatory bowel diseaseCumulative incidenceSurgeryDiseaseCohortConfidence interval

Abstract

fetched live from OpenAlex

OBJECTIVES: This study compared the real-world effectiveness and safety of α 4 β 7 -integrin inhibitor vedolizumab and anti-tumor necrosis factor alpha (anti-TNFα) inhibitor infliximab in biologic-naive patients with Crohn's disease (CD). METHODS: EVOLVE was a retrospective, multicenter, medical chart review of biologic-naive adults with inflammatory bowel disease receiving vedolizumab or anti-TNFα treatment as first-line biologics in Canada, Greece, and the USA. Twelve-month outcomes were analyzed in vedolizumab- or infliximab-treated patients with moderate-to-severe CD (and subgroups with complicated and noncomplicated CD) including cumulative rates of clinical response, clinical remission, and mucosal healing, and incidence rates of serious adverse events (SAEs) and serious infections (SIs). Inverse probability weighting (IPW) was used to account for baseline differences between treatment groups. RESULTS: Data were analyzed from 167 patients. In the IPW dataset (99 vedolizumab-treated and 63 infliximab-treated), adjusted 12-month clinical remission rates were 73.1% and 55.2%, respectively ( P = 0.31). Overall, effectiveness rates were similar across treatment and complicated/noncomplicated disease subgroups. Adjusted 12-month incidence rates (first occurrence/1000 person-years) of SAEs for vedolizumab vs. infliximab: 43.6 vs. 200.9 [hazard ratio (HR) 0.36 (0.09-1.54)]; SIs: 10.8 vs. 96.0 [HR 0.08 (<0.01-2.64)]. AE incidence was significantly lower in vedolizumab- vs. infliximab-treated patients for complicated [131.6 vs. 732.2; HR 0.19 (0.05-0.65)] and noncomplicated [276.3 vs. 494.8; HR 0.59 (0.35-0.99)] disease subgroups. CONCLUSION: These real-world data on first-line biologics show no differences in 12-month effectiveness outcomes for vedolizumab- vs. infliximab-treated biologic-naive patients with CD. Vedolizumab may have a more favorable safety profile vs. infliximab in patients with complicated and noncomplicated disease.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.006
GPT teacher head0.215
Teacher spread0.208 · 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 designNon-randomized trial
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

Citations9
Published2023
Admission routes2
Has abstractyes

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