676-P: Ideal Ketone Test Training among Type 1 Patients in Context of Risk Associated with SGLT2 Inhibitors
Bibliographic record
Abstract
SGLT2 inhibitors are not approved for people with type 1 diabetes in the U.S. due to elevated risk of diabetic ketoacidosis (DKA), prompting interest in ketone testing education. This study surveyed 4,612 people with type 1 diabetes across the U.S., EU, and Canada regarding their preferred method and duration of ketone testing education if they were to start a new therapy that increased DKA risk. Overall, a phone app was the preferred method of education, with some country-level differences apparent. In the U.S., Germany, and the Netherlands, 15-30 minutes was the most selected training time duration, while the remaining countries most commonly selected 1-2 hours. When considering the safety of SGLT2 therapy for type 1 patients, this data lends important insights into the feasibility and optimal composition of ketone test training. Disclosure J.B. Rost: Employee; Self; This work was funded by dQ&A Diabetes Research, a provider of research services to multiple companies and patient organizations in the diabetes field. S. Suhl: Employee; Self; This work was funded by dQ&A Diabetes Research, a provider of research services to multiple companies and patient organizations in the diabetes field. K.C. Stoner: Other Relationship; Self; Various companies and organizations. C. Florissi: Employee; Self; This work was funded by dQ&A Diabetes Research, a provider of research services to multiple companies and patient organizations in the diabetes field. R. Gowen: Employee; Self; This work was funded by dQ&A Diabetes Research, a provider of research services to multiple companies and patient organizations in the diabetes field. R. Wood: Consultant; Self; Abbott, ADOCIA, American Diabetes Association, Ascensia Diabetes Care, Boehringer Ingelheim Pharmaceuticals, Inc., CeQur Corporation, Dexcom, Inc., Eli Lilly and Company, Insulet Corporation. Employee; Self; dQ&A Market Research Inc.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".