Divergent trends in the incidence of end‐stage renal disease due to Type 1 and Type 2 diabetes in Europe, Canada and Australia during 1998–2002
Bibliographic record
Abstract
AIMS: To describe the variation in geographical distribution of end-stage renal disease (ESRD) due to Type 1 and Type 2 diabetes, and to calculate recent trends in incidence in predominantly white populations. METHODS: Estimation of age- and sex-standardized incidence of ESRD by type of diabetes, and temporal trends, in population-based data for persons aged 30-44, 45-54 or 55-64 years newly treated for ESRD during 1998-2002 in eight countries or regions of Europe, and Non-Indigenous Canadians and Australians. RESULTS: The incidence of ESRD due to Type 1 diabetes at age 30-44 years correlated with published rates of childhood-onset insulin dependent diabetes mellitus (P = 0.0025). ESRD due to Type 2 diabetes was uncommon before 45 years of age; in older persons, the highest rates (in Canada and Austria) were five times the lowest rates (in Norway and the Basque region). Rates of ESRD due to Type 1 diabetes fell, per year, by 6.4%[95% confidence interval (CI): 2.1-10.6%) in persons aged 30-44 years, and by 7.7% (95% CI: 2.4-12.7%] in those aged 45-54 years. In contrast, rates of ESRD due to Type 2 diabetes increased annually by 16% (95% CI: 5-28%) in the 30-44-year age group, 11% (95% CI: 6-16%) at 45-54 years, and 9% (95% CI: 5-14%) at 55-64 years. CONCLUSIONS: Modern prevention has reduced progression of nephropathy to ESRD due to Type 1 diabetes, but the continuing rise of ESRD due to Type 2 diabetes represents a failure of current disease control measures that has serious public health implications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".