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Record W3166512992 · doi:10.1093/ecco-jcc/jjab075.027

OP28 The effect of guselkumab induction therapy on early clinical outcome measures in patients with Moderately to Severely Active Crohn’s Disease: Results from the phase 2 GALAXI 1 study

2021· article· en· W3166512992 on OpenAlexaff
Silvio Danese, W. Sandborn, Brian G. Feagan, Kathleen Weisel, Susana Gonzalez, Mary Ellen Frustaci, Zijiang Yang, Jewel Johanns, Matthew Germinaro, Anita Afzali, Jane M. Andrews, Geert D’Haens, Tadakazu Hisamatsu, Remo Panaccione, Walter Reinisch, David T. Rubin, B E Sands, Julián Panés

Bibliographic record

VenueJournal of Crohn s and Colitis · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of CalgaryRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsMedicineCalprotectinInternal medicineGastroenterologyCrohn's diseaseClinical trialClinical endpointSurrogate endpointUstekinumabSurgeryDiseaseInfliximabInflammatory bowel disease

Abstract

fetched live from OpenAlex

Abstract Background Guselkumab (GUS), an IL-23 antagonist, is being investigated for the treatment of IBD. GALAXI 1 is a ph2, double-blind, PBO-controlled study in pts with moderately to severely active CD with inadequate response or intolerance to conventional therapies (corticosteroid, immunosuppressant) and/or biologics (TNF antagonist, vedolizumab). Here we report early clinical outcome measures during induction with GUS vs PBO. Methods Pts with moderate to severe CD (CDAI score 220–450) were randomized 1:1:1:1:1 to GUS 200, 600 or 1200mg IV at Wks 0, 4, 8; ustekinumab (UST) ~6mg/kg IV at Wk 0 and 90mg SC at Wk8; or PBO IV. Clinical remission (CDAI score<150), clinical response (≥100-point reduction from baseline in CDAI score or CDAI score<150), and clinical-biomarker response (clinical response and ≥50% reduction from baseline in CRP or fecal calprotectin) were evaluated at Wks 4, 8 and 12 for pooled GUS arms vs PBO. UST was a reference arm. Results Two hundred fifty pts were evaluated; about 50% failed previous biologic therapy. Baseline demographics and disease characteristics were generally similar among treatment groups (mean CD duration, 8.8yr; mean CDAI, 306.2; median CRP, 5.4mg/L; median fecal calprotectin, 594.0mg/kg). At Wk4, clinical remission was achieved in 20.0% of GUS-treated pts compared with 11.8% of PBO-treated pts. A greater proportion of GUS-treated pts achieved clinical remission compared with PBO-treated pts at Wk8 (42.0% vs 15.7%) and Wk12 (54.0% vs 15.7%). Similarly, within each subgroup of pts who failed biologic therapy(BIO-failures) or conventional therapy(CON-failures), GUS-treated pts achieved a higher rate of clinical remission at Wks 4, 8 and 12 compared with PBO (Fig 1). The proportion of pts who achieved clinical response and clinical-biomarker response was also higher at Wks 4, 8 and 12 among GUS-treated pts compared with PBO-treated pts. From Wks 4 to 8 to 12, the proportion of GUS-treated pts in clinical response increased from 44.0% to 56.0% to 66.0%, respectively, and the proportion in clinical-biomarker response increased from 26.0% to 43.3% to 48.0%. In contrast, the proportion of PBO-treated pts who achieved clinical response and clinical-biomarker response remained stable or decreased from Wks 4 to 8 to 12: 25.5% to 25.5% to 23.5% and 13.7% to 9.8% to 7.8%, respectively (Fig 2). Conclusion In pts with moderately to severely active CD, induction treatment with GUS combined treatments versus PBO resulted in higher rates of overall clinical remission, clinical-biomarker response, and clinical response as early as Wk4. This continued to increase through Wk12 with treatment. The early trend for achievement of clinical remission was also evident in sub-groups of pts who failed biologic or conventional therapy.

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)0.002
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 score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.024
GPT teacher head0.313
Teacher spread0.289 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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