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Record W4318539197 · doi:10.1093/ecco-jcc/jjac190.0718

P588 Interim results from the randomised VERDICT trial to determine the optimal treatment target in patients with ulcerative colitis

2023· article· en· W4318539197 on OpenAlexaff
Vipul Jairath, Guangyong Zou, Z Wang, S Adsul, J F Colombel, Geert D’Haens, M Freire, G W Moran, Laurent Peyrin‐Biroulet, W. Sandborn, Shaji Sebastian, S Travis, Séverine Vermeire, G Radulescu, Julie Sigler, S Mcfarlane, N Arya, M Beaton, Peter Bossuyt, D Green, W. R. Harlan, M Horynski, Maria Kłopocka, R Petroniene, M S Silverberg, Ł Wolański, B G Feagan

Bibliographic record

VenueJournal of Crohn s and Colitis · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsBarrie Urology GroupWestern University
Fundersnot available
KeywordsMedicineUlcerative colitisInternal medicineInterim analysisGastroenterologyCohortRandomized controlled trialEndoscopySurgeryDisease

Abstract

fetched live from OpenAlex

Abstract Background The optimal treatment target for ulcerative colitis (UC) is uncertain. The VERDICT trial in moderate to severe UC aims to determine if a treatment target of corticosteroid (CS)-free symptomatic + endoscopic + histologic remission is superior to CS-free symptomatic remission alone. Trial progress and the study cohort to date are described herein. Methods Our aim is to enrol 660 patients with moderately to severely active UC (Mayo rectal bleeding subscore [RBS] ≥1; Mayo endoscopic score [MES] ≥2). Patients are randomised to 3 treatment targets (2:3:5 ratio): CS-free symptomatic remission (Mayo RBS = 0) (Group 1); CS-free endoscopic remission (MES ≤1) + symptomatic remission (Group 2); or CS-free histologic remission (Geboes score <2B.0) + endoscopic + symptomatic remission (Group 3). Therapy is administered according to a treatment algorithm that is dependent upon each patient’s UC treatment at screening. Early introduction of vedolizumab (VDZ) and dose escalation up to 300 mg every 4 weeks until the target is met are central to each algorithm. Up to 3 opportunities to achieve the assigned target were prespecified in the algorithms (weeks 16, 32, or 48). Patients and central readers for endoscopy/histopathology are blinded to group allocation, and investigators are unblinded. Results As of 2 November 2022, 331 patients were enrolled at 55 sites across 10 North American and European countries. Mean (SD) baseline characteristics (Table) include a UC duration of 8.6 (8.3) years, Mayo Clinic score of 8.7 (1.7), C-reactive protein level of 13.3 (15.6) mg/dL, and a faecal calprotectin level of 1462.3 (1481.3) mg/kg. At baseline, 52% (172/331) and 11% (37/331) of patients were receiving concomitant CS and immunosuppressives, respectively, and 14% (47/331) had current/prior exposure to tumour necrosis factor antagonists. Most patients (85%) were receiving nonbiologic therapy. Of all randomised patients, 43/69 (Group 1), 65/98 (Group 2), and 115/164 patients (Group 3) have reached week 16; and 28 (65%), 25 (39%), and 42 (37%) met their target, respectively. After a median of 35 weeks (IQR 18-53), a total of 30 (Group 1), 32 (Group 2), and 50 patients (Group 3) have met their target and will be followed to relapse or study termination. The serious adverse event rate (8%; 36/483) was similar across groups. Conclusion VERDICT has randomised ~50% of its target enrolment. Enrolled patients represent a typical moderate to severe UC population and are primarily bionaive and receiving early VDZ initiation. Early results suggest the feasibility of achieving each treatment target, specifically histologic remission, and are consistent with expected values. No new VDZ safety signals were identified. Completion of enrolment is anticipated in late 2023.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0190.002

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 head0.010
GPT teacher head0.246
Teacher spread0.235 · 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 designRandomized 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

Citations5
Published2023
Admission routes1
Has abstractyes

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