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Record W3000594475 · doi:10.1093/ecco-jcc/jjz203.094

DOP55 A real-world comparison of the effectiveness and safety of vedolizumab and anti-TNF therapies in early treatment initiation with first-line biologic therapy in ulcerative colitis: Results from EVOLVE

2020· article· en· W3000594475 on OpenAlexaffabout
Gerassimos J. Mantzaris, Brian Bressler, Uri Kopylov, M Bassel, Neil R. Brett, Chris Colby, Claudia Lopez, Sumit Saha, Christina Kifnidi, Christian Agboton, Shashi Adsul, Dirk Demuth, Michelle Luo, Shu Wang, Andrés Yarur

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsTakeda (Canada)St. Paul's Hospital
Fundersnot available
KeywordsVedolizumabMedicineUlcerative colitisInfliximabAdalimumabDiscontinuationGolimumabInternal medicineAdverse effectInflammatory bowel diseaseHazard ratioRetrospective cohort studySurgeryDiseaseConfidence interval

Abstract

fetched live from OpenAlex

Abstract Background Evidence suggests that early treatment (Tx) with biologic agents in Crohn’s disease improves long-term clinical outcomes. However, there is less evidence in ulcerative colitis (UC), and data comparing early Tx with first-line biologic vedolizumab (VDZ) to anti-tumour necrosis factor (anti-TNF) in real-world settings is needed. This study compared the clinical effectiveness and safety of UC patients who initiated VDZ or an anti-TNF as a first-line biologic within 2 years following diagnosis. Methods This was a real-world, multi-country, retrospective chart review study in Canada, Greece and the United States where biologic-naïve UC patients (≥18 years old) were treated with VDZ or an anti-TNF (adalimumab, infliximab, golimumab) agent within 2 years following diagnosis (initiated Tx May 2014–March 2018). Clinical effectiveness and safety data were collected from Tx initiation to earliest of chart abstraction date, death, or 6 months post-Tx discontinuation (Canada only). Tx persistence was defined as the duration of time from treatment initiation to discontinuation. Analyses of cumulative rates of Tx persistence, clinical response, clinical remission and mucosal healing over 24 months were estimated using Kaplan–Meier analyses. Clinical response, remission and mucosal healing were assessed using pre-defined hierarchical algorithms of standard disease measures reported in the medical records. Analyses of incidence rates (per 100 person-years [PYs]) of disease exacerbations, disease-related surgeries, serious adverse events (SAEs) and serious infections (SIs) were performed. Adjusted analyses used inverse probability weighting to balance cohorts. Results This analysis included 176 UC patients (VDZ: 86; anti-TNF: 90) from 37 sites. Mean (SD) age at index date: VDZ, 41.4 (18.9); anti-TNF, 36.8 (15.6) years (p = 0.20) and the proportion male: VDZ, 58.1%; anti-TNF, 56.7% (p = 0.84). At 12 months, 72.9% and 58.1% continued VDZ and anti-TNF respectively (p = 0.03) (Figure 1A). Though there were no differences in clinical response, clinical remission or mucosal healing between VDZ and anti-TNF groups; VDZ patients were significantly less likely to experience disease exacerbations (HR = 0.47 [95% CI: 0.32–0.69]) and SAEs (HR = 0.37 [95% CI: 0.19–0.72]) (Figure 2). Adjusted outcomes (Figures 1C and D, and 2B) were similar to unadjusted outcomes. Conclusion EVOLVE is one of the first studies that compared early VDZ Tx to early anti-TNF Tx in biologic-naïve UC patients. Results showed VDZ was associated with higher persistence, lower likelihood of experiencing disease exacerbations and a more favourable safety profile. Thus, in early UC, Tx with VDZ may improve long-term clinical outcomes. Sample size limitations warrant further study.

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)0.013
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 score0.011
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.267
Teacher spread0.250 · 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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Citations4
Published2020
Admission routes2
Has abstractyes

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