The natural history of youth onset type 2 diabetes mellitus
Bibliographic record
Abstract
Administrative data was anonymously linked to a clinical registry, to evaluate the validity of diabetes algorithms in youth. In addition, incident youth with T2DM (n=342) in Manitoba (1-18 years) from Jan.1986-2009 identified from the clinical registry were anonymously linked to healthcare records in order to evaluate complications, compared to youth with type 1 diabetes (T1DM) (n=1011) and non-diabetes (non-DM) controls (n=1710). The algorithm including 1 or more hospitalizations or two or more outpatient claims over two years was the most valid. Youth with T2DM had a 47% increased risk of any complication and a 2.29 fold increased risk of renal complication. Age at diagnosis, HgA1c and ace inhibitor/angiotensin receptor blocker use (ACE/ARB) were significant risk factors for any complication. Risk factors for renal complications included ACE/ARB use, albuminuria and diagnosis prior to 2000. Survival at 10 years was 91.4% (T2DM) vs. 99.5% (T1DM) vs. 100% (non-DM); p<0.0001.
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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 | 0.001 |
| 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) | 0.001 | 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".