Management of Hyperglycemia in the Noncritical Care Setting: A Real-World Case-Based Approach With Alternative Insulin- and Noninsulin-Based Strategies
Bibliographic record
Abstract
Insulin remains the mainstay of treatment for inpatient hyperglycemia in the United States and Canada. However, some other countries commonly use noninsulin agents such as metformin and sulfonylureas, and several trials have demonstrated the efficacy and safety of incretin-based agents in patients with type 2 diabetes who are admitted to noncritical care medicine and surgery services. There is a high degree of interest in alternative glucose-lowering strategies to achieve favorable glycemic outcomes with lower risks of hypoglycemia. In this case series, we highlight the challenges of inpatient glycemic management and the need for alternatives to the traditional basal-bolus insulin regimen. Additional investigation will be imperative to validate the safety and efficacy of appropriate insulin and noninsulin treatments and to further develop guidelines that are applicable in real-world hospital settings.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".