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Record W3000295995 · doi:10.1093/ecco-jcc/jjz203.548

P419 Clinical effectiveness and safety of first-line biologic vedolizumab as a monotherapy or combination therapy in ulcerative colitis and Crohn’s disease patients: results from the EVOLVE study

2020· article· en· W3000295995 on OpenAlexaffabout
Brian Bressler, Andrés Yarur, 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, Gerassimos J. Mantzaris

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 colitisInternal medicineAdverse effectClinical trialCrohn's diseaseCombination therapyConcomitantIncidence (geometry)Retrospective cohort studyDisease

Abstract

fetched live from OpenAlex

Abstract Background There is little long-term research (≥12 months) in ulcerative colitis (UC) and Crohn’s disease (CD) patients investigating the impact on clinical effectiveness of combined (combo) therapy of vedolizumab (VDZ) plus immunomodulators/immunosuppressants (IMMs) compared with VDZ monotherapy. Research suggests the use of concomitant aminosalicylates [5-ASAs] in UC may not bolster effectiveness. Finally, it is unclear if the safety profile differs between VDZ monotherapy and combo therapy. This study described clinical effectiveness and safety outcomes in patients with UC or CD treated with first-line biologic VDZ as monotherapy or combo therapy with IMMs or 5-ASAs (UC only). Methods This was a real-world, multi-country (Canada, Greece and the USA), retrospective chart review study of biologic-naïve UC and CD patients (≥18 years old) treated with VDZ (initiated Tx May 2014–March 2018). Data were collected from Tx initiation to the earliest of death and chart abstraction date. Cumulative rates of clinical effectiveness outcomes over 24 months (Tx persistence, clinical response and clinical remission) were estimated using the Kaplan-Meier method with unadjusted comparisons conducted using the log-rank test. Clinical response and remission were assessed from standard disease measures reported in medical records. Analyses of unadjusted incidence rates (per 100 person-years [PYs]) of disease exacerbations, disease-related surgeries, serious adverse events (SAEs) and serious infections (SIs) were performed. For these analyses in monotherapy vs. VDZ+IMMs, UC and CD patients were combined due to restrictions of sample size and a number of events. Results This analysis included 318 patients treated with VDZ (monotherapy: UC = 53, CD = 108; VDZ+IMMs: UC = 22, CD = 24; VDZ+5-ASAs: UC = 111). There were no observed differences in age, sex or disease duration between patients on monotherapy vs. VDZ+IMMs or vs. VDZ+5-ASAs. Data trends in effectiveness outcomes were similar in monotherapy vs. VDZ+IMMs over 24 months (Figure 1). Tx persistence (monotherapy: 71.6%; VDZ+5-ASAs: 82.7%; p = 0.40), clinical remission (monotherapy: 54.3%; VDZ+5-ASAs: 87.7%; p = 0.37) and clinical response (monotherapy: 81.7%; VDZ+5-ASAs: 92.2%; p = 0.54) were also similar between monotherapy and VDZ+5-ASAs over 24 months. Safety outcomes were similar between groups (Figure 2). Conclusion Though sample sizes were small, the unadjusted trends in the results of this long-term real-world study suggest that biologic-naïve UC or CD patients treated with VDZ alone may have similar clinical effectiveness outcomes to patients receiving VDZ+IMMs. Trends in data also suggest that in patients with UC, VDZ+5-ASAs may not be more effective than VDZ alone.

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)0.005
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 score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.297
Teacher spread0.277 · 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

Citations2
Published2020
Admission routes2
Has abstractyes

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