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715 Corticosteroid Sparing Effects of Ustekinumab Therapy in UC Patients: Results From the UNIFI Program

2019· article· en· W2979976658 on OpenAlexaff
Silvio Danese, Bruce E. Sands, Laurent Peyrin‐Biroulet, Colleen Marano, Christopher O’Brien, Hongyan Zhang, Alessandra Oortwijn, David Rowbotham, Rupert W. Leong, Ramesh Arasaradnam, Gert Van Assche, William J. Sandborn, Remo Panaccione

Bibliographic record

VenueThe American Journal of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineMaintenance therapyDiscontinuationUstekinumabInternal medicinePopulationMaintenance dosePrednisoneRandomizationCorticosteroidRandomized controlled trialUlcerative colitisIntention-to-treat analysisGastroenterologySurgeryChemotherapyDiseaseInfliximab

Abstract

fetched live from OpenAlex

INTRODUCTION: Ustekinumab (UST), an IL12/23 blocker approved for Crohn's disease, was effective in Phase 3 induction and maintenance studies of patients with moderate-severe ulcerative colitis (UC). Since discontinuation of corticosteroids (CS) is an important goal of therapy in UC, this analysis aims to further describe the CS sparing effects of ustekinumab treatment through Week 44 of the UNIFI trial. METHODS: Responders to UST IV induction entered maintenance and were randomized to UST 90 mg SC (q12wks or q8wks), or PBO. During the induction and maintenance studies, oral CS were not to be initiated or increased beyond baseline. At Week 0 of the maintenance study, a scheduled taper was recommended for all patients receiving CS. CS-free Clinical Response (CSR) and remission (CSRem) rates (at Week 44, and for >90 days prior to Week 44) were calculated for the overall population and for the subset of patients on CS at maintenance baseline. Among the subset of patients on CS at maintenance baseline, the mean prednisone-equivalent (P.Eq) CS dose (mg/day) through Week 44 were calculated as were the rates of subjects who were CS-free at Week 44 and for >90 days prior to Week 44. RESULTS: Overall 50.6% (265/523) of patients in the primary analysis population were receiving CS at maintenance baseline. The proportions of patients who were receiving concomitant CS at maintenance baseline were 52.3%, 47.7%, and 52.3% in the UST q8w, UST q12w and PBO groups, respectively. As detailed in Table 1, in the overall population, CSR and CSRem rates were significantly higher for patients who continued on UST therapy during maintenance compared with placebo. Among the patients who achieved CSR or CSRem at Week 44, the majority achieved these endpoints and eliminated CS use at or up to 90 days prior to Week 44. Similar results were observed in the subset of patients on concomitant CS at maintenance BL. In this group, the mean daily P.Eq CS dose at maintenance BL was approximately 15.0 mg/day for all treatment groups. Mean decrease in average daily P.Eq dose at Wk 44 was more pronounced and the proportion of patients who were CS-free was greater in the UST maintenance arms. CONCLUSION: UST maintenance therapy, with both q8w and q12w dosing regimens, is effective in reducing and eliminating the use of CS in patients with UC; the majority of patients (>90%) who achieved clinical response or clinical remission were able to eliminate corticosteroids.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.004
GPT teacher head0.220
Teacher spread0.216 · 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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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