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Record W4255681545 · doi:10.1093/ecco-jcc/jjw019.287

P168. Interobserver agreement in bowel ultrasonography for diagnostic assessment in patients with Crohn’s disease

2016· article· en· W4255681545 on OpenAlexaff
Emma Calabrese, Torsten Kucharzik, Christian Maaser, Giovanni Maconi, Deike Strobel, Stephanie R. Wilson, Francesca Zorzi, Kerri L. Novak, David H. Bruining, Marietta Iacucci, Mamoru Watanabe, Elisabetta Lolli, Carlo Chiaramonte, Stephen B. Hanauer, Remo Panaccione, Francesco Pallone, Subrata Ghosh, Pritesh Morar, Nick Sevdalis, Cathryn Edwards, Ailsa Hart, Willem A. Bemelman, Janindra Warusavitarne, Omar Faiz

Bibliographic record

VenueJournal of Crohn s and Colitis · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsVedolizumabMedicineUlcerative colitisInternal medicineCrohn's diseasePopulationInflammatory bowel diseasePersistence (discontinuity)GastroenterologyDiseaseSurgery

Abstract

fetched live from OpenAlex

Background: Vedolizumab (VDZ), a humanised monoclonal antibody that targets α 4 β 7 integrin, was approved in May 2014 by the United States (US) Food and Drug Administration for the treatment of moderately to severely active Crohn's disease (CD) and ulcerative colitis (UC).In routine practice, persistence to therapies for chronic conditions, such as UC, is a determinant of treatment success. 1 This study aimed to assess real-world treatment persistence in CD and UC patients initiating VDZ therapy.Methods: Adult patients with CD (International Classification of Diseases, Ninth Revision [ICD-9]: 555.xx) and UC (ICD-9: 556.xx) initiating VDZ between 20/05/14 and 03/11/15 were identified in the US Explorys Universe database (~16% population coverage).Patients with ≥1 year of medical history, ≥180 days of follow-up since first VDZ infusion (index date) and ≥2 VDZ infusions within the first 70 days of follow-up were included in analyses.Patient characteristics and prior medication use were described.Persistence was defined as no treatment gap >90 days between subsequent VDZ infusions and was assessed over a period of 6 months post index.Analyses were stratified by biologic-naïve and -experienced patients.Results: Overall, 194 patients (CD 78.4%; UC 21.6%) were included; mean (standard deviation [SD]) age at index 42 (15.3)years (CD 43 [14.8];UC 39 [16.8]), mean (SD) time since diagnosis 5.1 (3.8) years (CD 5.7 [4.0]; UC 2.9 [2.3]), 59.3% female (CD 61.2%; UC 52.4%).Before VDZ initiation, 38.7% (CD 26.8%; UC 35.2%) of patients had been treated with aminosalicylates, 89.7% (CD 90.1%; UC 88.1%) with corticosteroids, 56.2% (CD 62.5%; UC 33.3%) with immunomodulators and 72.2% (CD 75.0%;UC 61.9%) had received at least one biologic treatment.At 6 months after VDZ initiation, 72.7% of patients were persistent (CD 73.7%; UC 69.0%).In patients who had no prior biologic use (n = 54), 79.6% persisted with VDZ (CD 78.9%; UC 81.3%) and in treatment-experienced patients (n = 140), 70.0% persisted with VDZ (CD 71.9%; UC 61.5%).During this period, 78.4% of patients had received ≥ 4 infusions of VDZ (83.4% in biologic-naïve patients).Conclusions: This real-world study demonstrates that approximately three quarters of patients with CD and UC treated with VDZ are persistent 6 months after treatment initiation.Persistence was higher in patients who were naïve to prior biologic therapy.In the absence of information to define clinical response and remission in some real-world studies, treatment persistence may be a useful marker of treatment effectiveness.

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)0.030
metaresearch head score (Gemma)0.080
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 score0.030
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.080
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.005
GPT teacher head0.229
Teacher spread0.224 · 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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Citations0
Published2016
Admission routes1
Has abstractyes

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