Diabetic ketoacidosis at presentation of type 1 diabetes in children in Canada during the COVID-19 pandemic
Bibliographic record
Abstract
Type 1 diabetes is a common chronic illness in childhood. Diabetic ketoacidosis (DKA) is the leading cause of morbidity and mortality in children with type 1 diabetes. Early recognition of symptoms of diabetes and immediate initiation of treatment are important factors in preventing DKA at first presentation. We describe the numbers of children presenting with DKA at initial diagnosis across eight Canadian paediatric centres during the COVID-19 pandemic (March 15, 2020 to July 31, 2020) and compare this to the same time period in 2019. Comparing the pre-COVID to the COVID-19 time period, presentation in DKA increased from 36.4% to 55.0% (P<0.0001) and presentation in severe DKA from 37.0% to 48.3% (P=0.044). These findings are concerning and emphasize the importance of awareness of the signs and symptoms of diabetes. In addition, these findings raise concern about access to appropriate and timely care during the COVID-19 pandemic.
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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 | 0.000 |
| 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".