Novel Drugs for Diabetes Also Have Dramatic Benefits on Hard Outcomesof Heart and Kidney Disease
Bibliographic record
Abstract
BACKGROUND: Diabetes is a major risk factor for developing cardiovascular disease. Patients with both diabetes and cardiovascular disease have even higher mortality. The convergence of cardiology and diabetology therapy is an important step in treating patients and advancing research. RESULTS: Major landmark trials and meta-analyses involving Sodium Glucose Cotransporter 2 inhibitors have shown dramatic clinical cardiorenal benefits in patients both with and without type 2 diabetes. In type 2 diabetes patients, Glucagon-like peptide-1 receptor agonists have been shown to improve major cardiac outcomes. CONCLUSION: This hot topic of research and clinical use of glucose lowering drugs intersects the fields of cardiovascular, renal, and diabetic medicine. The numerous cardiorenal benefits have led to the rapid adoption in clinical guidelines of these glucose lowering drugs in patients with Type 2 diabetes, cardiovascular disease, or renal disease.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".