Evidence map›Paper›PMID 40925679›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2025

A longitudinal cohort study describing childhood type 1 diabetes incidence and prevalence rates in British Columbia, Canada over 27 years (1997-2023).

Shazhan Amed, Jeffrey N Bone, Shreya B Kishore, Qian Zhang, Joseph Leung

Abstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shazhan AmedDivision of Endocrinology, Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0001-5193-8582
Jeffrey N BoneBC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0001-7704-1677
Shreya B KishoreFaculty of Health, Medicine and Behavioural Sciences, University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-8842-9546
Qian ZhangBC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0002-8761-3453
Joseph LeungDivision of Endocrinology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0002-3124-3692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsOur study described incidence and prevalence trends of type 1 diabetes in children and youth under 20 years of age from 1997 to 2023 in the Canadian province of British Columbia (BC) and assessed for a 4-, 5-, or 6-year cyclicity or increase in incidence during the COVID-19 pandemic.

methodsUsing linked population-level databases and a validated case-finding and diabetes differentiating algorithm, we identified children with type 1 diabetes diagnosed between 1997 and 2023. Data sources included hospital admissions, outpatient physician visits, and dispensed prescriptions. Population denominators were based on annual age- and sex-stratified population estimates. We calculated incidence per 100,000 and prevalence per 100 cases, using JoinPoint regression to identify trend changes. Cyclical patterns were tested using sine and cosine terms.

resultsFrom 1997 to 2023, the incidence of paediatric type 1 diabetes increased markedly until 2008 and then declined very gradually, with similar patterns across age and sex. Incidence was higher in boys, highest among children aged 5 to 14 years, and lowest in those aged 15 to 19 years. After 2012, prevalent cases stabilized in those under 10 and decreased in those over 10 years old. There was no evidence of cyclical trends or changes in incidence or prevalence during or after the COVID-19 pandemic. CONCLUSIONS/

interpretationWe report a stabilization of type 1 diabetes incidence and prevalence, along with the absence of pandemic-related increases. These trends may in part reflect demographic changes in British Columbia's paediatric population, including a growing proportion of children from immigrant backgrounds with historically lower type 1 diabetes risk. Unfortunately, our data sources do not include ethnicity, limiting our ability to explore these patterns directly. This study will support the optimization of resource allocation and inform healthcare improvement and long-term management of childhood type 1 diabetes.

Indexed as

COVID-19Diabetes Mellitus, Type 1AdolescentBritish ColumbiaChildChild, PreschoolCohort StudiesFemaleHumansIncidenceInfantLongitudinal StudiesMalePrevalenceSARS-CoV-2Young Adultchildrenincidencepaediatricprevalencetype 1 diabetesyouth

Identifiers

PMID40925679
PMCPMC12535355

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.