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Record W2081688336 · doi:10.2337/diacare.27.4.885

High Incidence of Childhood Type 1 Diabetes in the Avalon Peninsula, Newfoundland, Canada

2004· article· en· W2081688336 on OpenAlexaffabout
Leigh Anne Newhook, Joseph Curtis, Donna Hagerty, Marie Grant, Andrew D. Paterson, Cheryl Crummel, Tracey Bridger, Patrick S. Parfrey

Bibliographic record

VenueDiabetes Care · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoSt. John’s Health Sciences CentreMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineIncidence (geometry)PeninsulaDiabetes mellitusType 1 diabetesPopulationDemographyType 2 diabetesPediatricsCohort studyEpidemiologyProspective cohort studySurgeryInternal medicineEnvironmental healthEndocrinologyGeographyArchaeology

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this study was to determine the incidence of type 1 diabetes among children aged 0-14 years in the Avalon Peninsula in the Canadian Province of Newfoundland. RESEARCH DESIGN AND METHODS: This was a prospective cohort study of the incidence of childhood type 1 diabetes in children aged 0-14 years who were diagnosed with type 1 diabetes from 1987 to 2002 on the Avalon Peninsula. Identified case subjects during this time period were ascertained from several sources and verified using the capture-recapture technique. Data were obtained from the only pediatric diabetes treatment center for children living on the Avalon Peninsula. RESULTS: Over the study period, 294 children aged 0-14 years from the Avalon Peninsula were diagnosed with type 1 diabetes. The incidence of type 1 diabetes in this population over the period 1987-2002 inclusive was 35.93 with a 95% CI of 31.82-40.03. The incidence over this period increased linearly at the rate of 1.25 per 100,000 individuals per year. CONCLUSIONS: The Avalon Peninsula of Newfoundland has one of the highest incidences of type 1 diabetes reported worldwide. The incidence increased over the 16-year study period.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.283
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

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

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 head0.187
Teacher spread0.185 · 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 teacher head, 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

Citations54
Published2004
Admission routes2
Has abstractyes

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