Sodium‐glucose co‐transporter inhibitors, their role in type 1 diabetes treatment and a risk mitigation strategy for preventing diabetic ketoacidosis: The STOP DKA Protocol
Bibliographic record
Abstract
Recent phase 3 clinical trials have evaluated the impact of adding sodium-glucose co-transporter (SGLT) inhibitors to the type 1 diabetes armamentarium. These trials studied SGLT2 inhibitors (dapagliflozin and empagliflozin) and a dual SGLT1 and SGLT2 inhibitor (sotagliflozin), and demonstrated that these oral non-insulin antihyperglycaemic medications are able not only to improve glycaemic control, but also to reduce body weight and extend time in range without increasing rates of hypoglycaemia in type 1 diabetes. Diabetic ketoacidosis (DKA) is a feature of type 1 diabetes and the risk is increased when SGLT inhibitors are used in type 1 diabetes. To minimize the risk of DKA and still gain the multiple benefits, we developed the "STOP DKA Protocol ", an easily accessible and practical tool, that provides a risk mitigation strategy for reducing DKA in patients with type 1 diabetes being treated with SGLT inhibitors.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".