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Record W4207000124 · doi:10.1093/ecco-jcc/jjab232.122

DOP83 Normalisation of biomarkers and improvement in clinical outcomes in patients with Crohn’s Disease treated with risankizumab in the phase 3 ADVANCE, MOTIVATE, and FORTIFY studies

2022· article· en· W4207000124 on OpenAlexaff
Raja Atreya, Brian G. Feagan, О. Б. Щукина, Vipul Jairath, Florian Rieder, Tadakazu Hisamatsu, Britta Siegmund, Joanne Rizzo, Kristina Kligys, Ezequiel Neimark, Alexandra Song, Javier Zambrano, M. Mallick, En Cheng, Alessandro Armuzzi

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyMaintenance therapyCrohn's diseasePlaceboBiomarkerClinical trialCalprotectinC-reactive proteinDiseaseInflammatory bowel diseaseChemotherapyInflammationPathology

Abstract

fetched live from OpenAlex

Abstract Background The efficacy of risankizumab (RZB), an interleukin 23 p19 inhibitor, in patients with Crohn’s disease (CD) has been reported. Normalisation of high-sensitivity C-reactive protein (hs-CRP) and faecal calprotectin (FCP) are intermediate treatment targets in CD. Here, we evaluated changes in these objective inflammatory biomarkers and clinical outcomes with RZB treatment. Methods In 2 phase 3, randomised, double-blind studies (ADVANCE, NCT03105128; MOTIVATE, NCT03104413), patients with moderately to severely active CD received 12-week intravenous (IV) RZB induction therapy or placebo (PBO). Patients with clinical response to RZB IV induction were rerandomised in a 52-week maintenance study (FORTIFY, NCT03105102) to receive subcutaneous (SC) RZB or PBO (ie, RZB withdrawal). Induction analyses included patients who received either 600 mg RZB IV or PBO for 12 weeks. Maintenance analyses included patients who received 360 mg RZB SC every 8 weeks or withdrawal (PBO SC) for 52 weeks. Outcomes assessed were normalisation of hs-CRP and FCP concentrations at week 12 of induction and at week 52 of maintenance in patients with elevated biomarkers at baseline (hs-CRP > 5 mg/L and/or FCP > 250 μg/g), clinical biomarker response (defined as enhanced clinical response [≥ 60% average daily stool frequency (SF) decrease and/or ≥ 35% average daily abdominal pain score (APS) decrease] and ≥ 50% reduction in hs-CRP or FCP), and clinical biomarker remission (defined as clinical remission per CD Activity Index or SF/APS criteria and normal hs-CRP or FCP) during maintenance treatment. Nonresponder imputation was used for missing data. Results Greater proportions of patients receiving RZB vs PBO achieved normalisation of hs-CRP and FCP at the end of the 12-week induction period and the 52-week maintenance period (P < .0001 for all; Table). Among patients with clinical response to RZB IV induction and entered maintenance, rates of clinical biomarker response were maintained through week 52 in patients receiving 360 mg RZB SC and declined over time among patients in the withdrawal (PBO SC) arm (Figure A). Rates of clinical biomarker remission increased over time in patients receiving 360 mg RZB SC. At week 52, clinical remission and normalisation of hs-CRP or FCP was achieved by 41% of patients receiving RZB vs 28%–29% of patients in the withdrawal (PBO SC) arm (Figure B-C). The safety profile of RZB in CD was previously reported. Conclusion Normalisation of objective biomarkers of inflammation in CD was achieved with RZB induction and maintenance therapy. Improvements in both clinical outcomes and biomarker levels were sustained with continuous RZB maintenance therapy and decreased over time in patients discontinuing RZB.

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)0.001
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 score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.010
GPT teacher head0.285
Teacher spread0.275 · 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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