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Record W2790084415 · doi:10.1093/jcag/gwy008.216

A215 CHANGING INCIDENCE OF INFLAMMATORY BOWEL DISEASE IN THE PEDIATRIC POPULATION OF BRITISH COLUMBIA

2018· article· en· W2790084415 on OpenAlexaffabout
Justin M. Chan, Matthew Carroll, Matthew D. Smyth, Zachary Hamilton, Robert J. Prosser, D I Evans, Greg Rosenfeld, Karen B. Jacobson

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseIncidence (geometry)Poisson regressionEpidemiologyHealth careCohortPopulationPediatricsDiseaseFamily medicineEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Inflammatory Bowel Disease (IBD) is a chronic relapsing intestinal inflammatory disease that manifests most often early in life. Though rarely fatal, there is no cure thereby requiring life-long management with significant health care burden. Canada presents a robust platform for administrative health database study with its single payer health care system and high prevalence of IBD. The incidence rate of childhood onset of IBD has been increasing worldwide and increases in pediatric IBD have been found in Ontario but no study has been undertaken in British Columbia (BC). Our group obtained an IBD cohort from the BC Ministry of Health with full hospitalization, physician services and drug dispensation databases between 1991 and 2011. Applying an Ontario-derived validated case definition of IBD, we aimed to determine the province-wide epidemiology of pediatric IBD in BC and impact on health care utilization, comparing the results with the established BC Children’s Hospital (BCCH) IBD registry. We hypothesized that pediatric IBD is increasing and associated with increased health utilization and burden. All patients registered as being entitled to receive health related services in BC between 1994 and 2008 were eligible for study. IBD cases were identified using a combination of IBD-coded physician encounters and hospitalizations. Age and gender standardized incidence and prevalence rates were calculated and fitted to Poisson regression models. Trends of utilization outcomes such as rates of utilization of specialist, general practitioner, hospital IBD-related services and IBD-related medications were determined over time using bootstrap resampling. The overall incidence of IBD increased from 4.7 (95% CI 4.4 – 4.9) in 1994 to 5.7 (95% CI 5.5 – 6.0) per 100,000 children in 2008; lower than the incidence of the BCCH cohort which increased from 4.3 to 9.6 per 100,000. Children aged 10–17 had the highest and greatest rise in incidence. Overall, the hospital days-of-stay rate for IBD-related stays was 5.2 times greater than for non-IBD-related stays (95%CI 3.7 – 7.0), higher in older children. Older children also had 35% more IBD-related outpatient physician visits PPY (95%CI 2% – 79%) than younger children. However, there was a decrease in the rate of IBD-related physician visits from 1996–98 to 2006–08 of almost 1 visit per person year (0.94; 95%CI: 0.5 – 1.4). Finally, we explored the efficacy of using prescription records to better identify IBD cases. The most stringent definition identified a net potential increase of 313 cases, a 28% gain. Though pediatric IBD and associated health care utilization are increasing in BC, we identify limitations of applying province-specific case definitions and propose further investigation. Lutsky Foundation and Child and Family Research Institute

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 score0.016
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.003
GPT teacher head0.197
Teacher spread0.194 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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