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Record W4391162952 · doi:10.1093/ecco-jcc/jjad212.0374

P244 The first step to IBD prevention exploring rate of pre-clinical inflammation in subset of asymptomatic subjects at risk of IBD: screening stage of the PIONIR trial

2024· article· en· W4391162952 on OpenAlexaffabout
S Kenigsberg, Williams Turpin, S H Lee, Oren Ledder, Y Shimhlash, Anne M. Griffiths, H Huynh, Anthony Otley, Irit Avni‐Biron, Kevan Jacobson, Remo Panaccione, Alain Bitton, Ken Croitoru, Dan Turner

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMcGill UniversityUniversity of CalgaryBC Children's HospitalUniversity of WinnipegStollery Children's HospitalHospital for Sick ChildrenIzaak Walton Killam Health CentreUniversity of ManitobaMount Sinai Hospital
Fundersnot available
KeywordsAsymptomaticMedicineStage (stratigraphy)Internal medicineInflammationGastroenterologyBiology

Abstract

fetched live from OpenAlex

Abstract Background With the increasing prevalence of inflammatory bowel diseases (IBD) globally, it is necessary to start focusing efforts on prevention of the diseases. The Genetic, Environmental, Microbial (GEM) study identified biological signatures predictive of developing IBD in first degree relatives (FDR) of patients with Crohn’s disease (CD). The ongoing PIONIR (Preventing IBD ONset in Individuals at Risk) study is a randomized controlled trial aimed to explore whether the Tasty & Healthy diet can change the CD-risk associated biomarkers of healthy FDRs who are particularly high risk of developing CD, originally followed in the GEM cohort. We report here the rate of IBD and pre-IBD inflammation in a subset cohort. Methods Subjects, 6-35 years of age from the GEM cohort who were identified by a combination of predictors at recruitment to GEM to have an increased risk for persistently elevated fecal calprotectin (FC) (i.e. Microbiome Risk Score (MRS), increased gut permeability and/or multiplex family of CD) were approached to perform a new FC test. Subjects who had FC>70µg/g, confirmed by a second sample, were offered a panenteric video capsule endoscopy (VCE), but some elected to proceed to ileocolonoscopy instead. Results For the PIONIR recruitment, a total of 450 subjects were approached from 7 sites in Israel and Canada, of whom 183 consented and provided a stool sample for FC (Figure). FC was elevated in 57 (31%) subjects, confirmed by re-testing in 36 (20%); 25/36 underwent VCE/ileocolonoscopy (Figure). In total, 8 (4.4% of the screened cohort) had normal-appearing mucosa, in 10 (5.5%) there were non-specific mucosal changes (e.g. several erosions or erythema), 6 (3.3%) had ulcers compatible with CD and 1 (0.6%) was inconclusive. The median FC of those eventually diagnosed with CD (816 [IQR 361-1123) was higher than the remaining 30 without IBD with elevated FC (175 [111-281], p=0.003). FC>275µg/g was highly predictive of CD in the entire cohort (AUROC 0.97 (95%CI 0.93-0.99); sensitivity 83%, specificity 94%). Conclusion Preclinical mucosal inflammation in VCE/ileocolonoscopy was found in 18 of 183 (9.8%) screened subjects (i.e. elevated FC with either normal or nonspecific mucosal findings), 134 (73%) had normal FC and 11 (6%) with elevated FC had missing VCE/ileocolonoscopy data. Six had CD (3.3%, or 17% of the 36 with elevated FC). Detecting subjects at risk at their preclinical stages, possibly with FC>275µg/g, is the first necessary step in developing preventive strategies for IBD.

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)0.003
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.024
GPT teacher head0.290
Teacher spread0.266 · 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

Citations5
Published2024
Admission routes2
Has abstractyes

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