MétaCan
Menu
← Back to cohort
Record W2999787413 · doi:10.1093/ecco-jcc/jjz203.895

P767 Prevalence and incidence rates of inflammatory bowel disease among First Nations: Population-based evidence from Saskatchewan, Canada

2020· article· en· W2999787413 on OpenAlexaffabout
Juan Nicolás Peña-Sánchez, Derek Jennings, Jessica Amankwah Osei, Mustafa Andkhoie, Corstiaan Brass, Germain Bukassa Kazadi, Sharyle Fowler, Michelle Johnson-Jennings, Xuedan Lu, José Diego Marques Santos, Lindsay Porter, Rob Porter, Carol-Lynne Quintin, Rhonda Sanderson, Ulrich Teucher

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsSaskatchewan Health Quality CouncilCrohn's and Colitis CanadaSaskatchewan HealthUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineIncidence (geometry)Inflammatory bowel diseaseEpidemiologyPopulationDemographyUlcerative colitisConfidence intervalDiseaseEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Worldwide, the epidemiology of inflammatory bowel disease (IBD) has been widely studied in the general population; however, there is limited-to-no evidence about IBD among Indigenous peoples, specifically among First Nations (FNs). Saskatchewan (SK) is a province in western Canada with a population of 1.1 million, 11% of whom are FNs. We aimed to estimate the prevalence, incidence, and trends of IBD among FNs in SK since 1999. Methods As part of a patient-oriented research project, we conducted a retrospective population-based study between 1999 and 2016 fiscal years using administrative data for the province of SK. A previously validated algorithm that required multiple health care contacts was applied to identify IBD cases (Crohn’s disease [CD] and ulcerative colitis [UC]). The ‘self-declared FN status’ variable in the Person Health Registration System was used to determine FNs meeting the IBD case definition and the population at risk. Generalised linear models (GLMs) with generalised estimated equations and a negative binomial distribution were used to estimate the annual prevalence of IBD, CD, and UC. Incidence rates and their corresponding 95% confidence intervals (95%CI) were estimated using GLMs with a negative binomial distribution. The GLMs were used to test trends overtime. Results The annual prevalence of IBD among FNs in SK increased from 64 (95%CI 62–66) per 100,000 people in 1999 to 142 (95%CI 140–144) per 100,000 population in 2016. Also, the prevalence of CD and UC increased during the study period, with 53/100,000 (95%CI 52–55) for CD and 87/100,000 (95%CI 86–89) for UC in 2016. The average increase in the prevalence of IBD was 4.2% (95%CI 3.2–5.2) per year, with similar trends observed in CD (4.1% [95%CI 3.3–4.9]) and UC (3.4% [95%CI 2.3–4.6]). The incidence rates of IBD among FNs were 11 (95%CI 5–25) per 100,000 people in 1999 and 3 (95%CI 1–11) per 100,000 population in 2016. No statistically significant changes were observed in the incidence rates over time (p = 0.09). Conclusion This study is the first epidemiological work providing detailed evidence of IBD among FNs. We identified that FNs have increasing trends in the prevalence of IBD, which has also been described in the Canadian general population. In contrast to the general population of Canada and other developed countries that have shown decreasing trends, the incidence rates of IBD among FNs appear to be stable over time. Also, among FNs, UC appears to be more prevalent than CD; this pattern has been observed in the general populations of developing countries. These results illuminate the need to advocate for better health care and wellness for FNs living with 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)0.002
metaresearch head score (Gemma)0.009
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 score0.032
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.013
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Crohn s and Colitis→Same topicInflammatory Bowel Disease→French-language works237,207→