Do effects of sodium–glucose cotransporter-2 inhibitors in patients with diabetes give insight into potential use in non-diabetic kidney disease?
Bibliographic record
Abstract
PURPOSE OF REVIEW: Our aim was to review the rationale for the role of sodium-glucose cotransporter-2 inhibitors (SGLT-2i) as renoprotective therapy in patients with and without diabetes. RECENT FINDINGS: SGLT-2i are antihyperglycemic agents, approved for treating type 2 diabetes to reduce glycosylated hemoglobin, type A1c. Primary glucoregulatory effects occur through selective inhibition of SGLT-2 at the renal proximal tubule promoting glucosuria leading to blood glucose lowering. From a hemodynamic perspective, SGLT-2 inhibition is also associated with decreased glomerular hyperfiltration, an effect that is mediated through natriuresis and tubuloglomerular feedback. With renal injury and progressive nephron loss, diabetic kidney disease, and nondiabetic chronic kidney diseases share overlapping phenotypes exhibiting single nephron hyperfiltration, along with increased proteinuria. Importantly, the impact of SGLT-2 inhibition on renal and systemic hemodynamic function, including effects on lowering blood pressure, hyperfiltration, and plasma volume, are independent of blood glucose lowering and instead are because of natriuresis. Accordingly, large clinical trials with SGLT-2i investigating the potential use of SGLT-2i in patients without diabetes are now underway. SUMMARY: Based on prominent nonglycemic effects, the clinical use of SGLT-2i as renoprotective therapy may extend to nondiabetic chronic kidney diseases subtypes, which could help to address a large, unmet clinical need.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".