Clinical Trials in Diabetes: Examining the Value of Use of Continuous Dual Glucose-Ketone Monitoring
Bibliographic record
Abstract
Severe diabetic ketoacidosis (DKA) is a critical medical condition that often necessitates emergency treatment and hospitalization. Although DKA primarily impacts individuals with type 1 diabetes (T1D), its annual incidence among adults with T1D ranges from 4% to 8% following diagnosis. Continuous glucose monitoring (CGM) has become a standard tool for managing T1D and type 2 diabetes (T2D) in patients using insulin or aiming to improve self-management. However, advances in continuous dual glucose-ketone monitoring (DGK) technology offer new possibilities for clinical research and patient care. This article explores the potential applications of DGK in clinical research, with a focus on T1D, while also considering its broader relevance for T2D and other patient populations.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".