Very high and increasing incidence of type 1 diabetes mellitus in Newfoundland and Labrador, Canada
Bibliographic record
Abstract
OBJECTIVE: To determine the incidence of type 1 diabetes mellitus (T1DM) among children aged 0-14 yr inclusive in the Canadian province of Newfoundland and Labrador (NL). METHODS: Prospective and retrospective cohort study of the incidence of T1DM in children aged 0-14 yr from 1987 to 2005. Identified cases during this time period were ascertained from several sources and verified using the capture-recapture technique. RESULTS: Over the study period, 732 children aged 0-14 yr were diagnosed with T1DM. The incidence of T1DM in this population over the period 1987-2005 inclusive was 35.08 per 100,000 (95% confidence interval: 32.54, 37.62). The incidence over this period increased linearly at the rate of 0.78 per 100 000 per year. There was a significant difference between the incidence of 31.61 per 100,000 for boys in the 0-4-yr age-group and 19.05 per 100,000 for girls in the 0-4-yr age-group (p = 0.001). The incidence was very high throughout the entire province. CONCLUSIONS/INTERPRETATION: The province of NL has one of the highest incidences of T1DM reported worldwide. The incidence is increasing over the 19-yr study period.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".