Sodium Glucose Cotransporter-2 Inhibition for Acute Myocardial Infarction
Bibliographic record
Abstract
Sodium glucose cotransporter-2 (SGLT2) inhibitors improve cardiorenal outcomes in patients with type 2 diabetes mellitus, chronic kidney disease, and chronic heart failure. SGLT2 inhibitors also reduce the risk of cardiovascular mortality and hospitalization for heart failure among patients with type 2 diabetes mellitus and a remote history of myocardial infarction (MI). As a result of the growing body of evidence in diverse disease states, and the hypothesized mechanisms of action, it is reasonable to consider the potential of SGLT2 inhibition to improve outcomes in patients with acute MI as well if initiated early after presentation. Whether these therapies are efficacious and safe to use early in the course of acute coronary heart disease remains relatively unexplored. Here, we describe the contemporary data and continuing evidence gap for considering the use of SGLT2 inhibitors early following an acute MI to reduce cardiovascular morbidity and mortality.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".