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Record W4240272128 · doi:10.1093/jcag/gwy009.030

A30 ETHNIC VARIATION OF PEDIATRIC INFLAMMATORY BOWEL DISEASE IN CANADA

2018· article· en· W4240272128 on OpenAlexaffabout
Jocelyn Jeong, Amy Lee Wing Ngok, T D Walters, Aidan Griffiths, D R Mack, E I Benchimol, H Q Huynh, K Jacobson, A Otley, W El-Matary, C Deslanders, E G Seidman, M Sherlock, K Bax, J Critch, M W Carroll, E Wine, S Lawrence, Johan Van Limbergen, P Church, J deBruyn

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineEthnic groupInflammatory bowel diseaseOdds ratioIncidence (geometry)CohortUlcerative colitisDemographyInternal medicineDisease

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD) is a chronic inflammatory condition of the gastrointestinal tract with highest prevalence in the Western world. Recent temporal trends in adult and pediatric populations demonstrate increasing incidence in both developed and developing countries. IBD phenotypes may differ between countries and ethnic/racial groups This study examined ethnic and phenotypic variation of children newly diagnosed with IBD in Canada. The Canadian Children IBD Network established an inception cohort of children with incident IBD in 13 tertiary-care centers across Canada. Children were categorized into 9 different ethnic groups using a modified Statistics Canada classification method. Demographic characteristics, family history, place of birth, disease phenotype and activity were evaluated. Univariate regression analysis evaluated the association between ethnicity groups. Where appropriate, Wilcoxon rank sum test was used to compare groups. 886 children newly diagnosed with IBD were evaluated. The largest ethnicity groups included Caucasian (71.3%), South Asian (8.6%), Mixed Ethnicity (8.6%), Middle Eastern (3.4%), and African (3.3%). The median age at diagnosis was 12.3 years (IQR 8.8–15 y). The prevalence of IBD subtypes was as follows: Crohn’s disease (CD) 60.5%, ulcerative colitis (UC) 28.6% and IBD type Unclassified (IBD-U) 8.7%. South Asians had higher odds of UC compared to non-South Asians (odds ratio [OR] 2.2, 95%CI 1.2–3.8). Using the Paris classification for CD, the prevalence of CD phenotype was as follow: L1 15.9%, L2 19.2%, L3 39.9%, L4a 16.0%, L4b 5.4%. Using the Montreal classification for UC, the prevalence of UC phenotype was as follows: E1 7.1%, E2 4.7%, E3 8.7%, E4 54.9%. The median PCDAI score at diagnosis was 55 (IQR 35–75). The median PUCAI score at diagnosis was 55 (IQR 40–70). Caucasians had higher odds of a positive family history of IBD compared to non-Caucasians (OR 1.7, 95%CI 1.1–2.9), especially maternal history of IBD (OR 2.9, 95%CI 1.3–7.1). Across ethnic groups, South Asians had higher odds of UC compared to non-South Asians. L3 was the most prevalent phenotype in CD and E4 was the most prevalent phenotype in UC. Caucasian ethnicity is associated with higher odds of a positive family history, particularly with a maternal family history of IBD. Further studies are required to evaluate the impact of ethnic variation of pediatric IBD on disease management and prognosis. CIHRChILD Foundation

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.203
Teacher spread0.198 · 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
Published2018
Admission routes2
Has abstractyes

Explore more

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