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O-004 Inflammatory Bowel Disease in Immigrants to Canada and their Children

2014· article· en· W2323224849 on OpenAlexaffabout
Benchimol Eric, Mack David, Astrid Guttmann, N. Gobert Geoffrey, To Teresa, Nassim Mojaverian, Pauline Quach, Manuel Douglas

Bibliographic record

VenueInflammatory Bowel Diseases · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsOttawa HospitalHospital for Sick ChildrenUniversity of TorontoMount Sinai HospitalInstitute for Clinical Evaluative SciencesChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsMedicineImmigrationIncidence (geometry)DemographyHazard ratioCohortPopulationInflammatory bowel diseaseEpidemiologyRate ratioCohort studyDiseasePediatricsEnvironmental healthInternal medicineGeographyConfidence interval

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD) is more common in developed nations, and Canada has amongst the highest incidence in the world. Determining risk in migrants from low prevalence countries can illuminate the risk contributed by the Canadian environment. Using population-based data, we assessed the risk of IBD in immigrants to Canada and their Ontario-born children, compared to non-immigrants. The Ontario Crohn’s and Colitis Cohort (OCCC) is derived from health administrative data using validated algorithms and comprises all IBD patients in Ontario, Canada’s most populous province. The OCCC was linked to the Citizenship and Immigration Canada database to determine the adjusted risk of IBD in immigrants who arrived to Ontario after 1985, compared with non-immigrant residents of Ontario. Nations were grouped into regions based on World Bank classification. Age- and sex-standardized incidence in immigrants compared with non-immigrants, and Ontario-born children of immigrant mothers (born 1991–2009) compared to the children of non-immigrants. Standardized incidence and incidence rate ratios (IRR) were calculated. Hazard ratios (HR) from a multivariable Cox proportionate hazard model were used to determine whether younger age at immigration was associated with increased risk of IBD. We included 2,144,660 immigrants, 12,036,921 non-immigrants, 277,008 children of immigrants, and 1,024,049 children of non-immigrants. Standardized incidence of IBD in immigrants was 7.3 per 100,000 person-years compared to 23.9 per 100,000 in non-immigrants (IRR 0.34, 95% CI, 0.26–0.44). Incidence was lower in immigrants from all world regions, with the lowest risk in East Asians (IRR 0.14, 95% CI, 0.11–0.18) and highest risk in those from Western Europe/North America (IRR 0.59, 95% CI, 0.46–0.75) (see Figure). The attenuation of risk was greater for Crohn’s (IRR 0.25, 95% CI, 0.19–0.32) than ulcerative colitis (IRR 0.42, 95% CI, 0.33–0.53). The risk of IBD was lower in immigrants for adult-onset IBD (IRR 0.30, 95% CI, 0.21–0.41) and elderly-onset IBD (IRR 0.25, 95% CI, 0.14–0.45), compared to less attenuation of risk in children (IRR 0.48, 95% CI, 0.41–0.57). Each year of increased age at immigration was associated with decreased risk of IBD (HR 0.986, 95% CI, 0.982–0.990), corresponding to 14% increased risk per younger decade of life on arrival to Canada. Children of immigrants also had lower incidence of IBD compared to the children of non-immigrants (4.6 versus 7.2 per 100,000, IRR 0.63, 95% CI, 0.53–0.75), but this was region-specific. Children of immigrants from the Middle East/North Africa, South Asia, Sub-Saharan Africa, and North America/Western Europe had similar risk of IBD as children of non-immigrants. Risk of IBD in the children of immigrants from East Asia, Eastern Europe/Central Asia, and Latin America/Caribbean remained lower than children of non-immigrants (see Figure). The risk of IBD in immigrants to Canada is low, however younger age at arrival to Canada increased the risk. Ontario-born children of immigrants from some (but not all) regions assumed the same risk of IBD as the children of non-immigrants. These results indicate that underlying risk is activated with earlier life exposure to the Canadian environment in immigrants from certain regions.

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)0.001
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 score0.063
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.003
GPT teacher head0.191
Teacher spread0.188 · 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".

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Citations1
Published2014
Admission routes2
Has abstractyes

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