Starting subcutaneous insulin doses in a paediatric population with newly diagnosed type 1 diabetes
Bibliographic record
Abstract
BACKGROUND: Starting subcutaneous insulin doses in children with newly diagnosed type 1 diabetes vary widely from 0.2 units/kg/day to 0.8 units/kg/day. AIM: To determine whether there are correlations between starting insulin dose and diabetes-related outcomes. METHODS: By reviewing the charts of children newly diagnosed with type 1 diabetes, the prevalence of hypoglycemia in the first 48 h was compared between those who received low (0.5 units/kg/day or less) and those who received high (greater than 0.5 units/kg/day) starting insulin doses. RESULTS: Forty-two children were initially prescribed a low dose of insulin, and 55 children were given a high dose. Approximately one-third of children (36.4%) younger than six years of age who received a high starting dose of insulin had mild hypoglycemia within 48 h of subcutaneous insulin initiation, compared with 16.0% of children six to 10 years of age and 5.3% of children older than 10 years of age. CONCLUSIONS: Hypoglycemia was not more frequent among children given high-insulin starting doses. However, children younger than six years of age remained at increased risk for hypoglycemia.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".