Acute Effect of Empagliflozin on Fractional Excretion of Sodium and eGFR in Youth With Type 2 Diabetes
Bibliographic record
Abstract
Early markers of diabetic kidney disease (DKD), including hyperfiltration and elevated albumin excretion, are common in youth with type 2 diabetes (T2D) (1). Despite the morbidity associated with the development of future DKD in youth-onset T2D, pharmacotherapeutic options to lower hyperglycemia are limited to metformin and insulin, the only drugs approved for use in pediatric patients. Sodium–glucose cotransporter 2 (SGLT2) inhibitors reduce blood pressure, weight, and hyperglycemia in adults with T2D. Furthermore, a 38% reduction in cardiovascular death and a 39% reduction in incident or worsening nephropathy have been demonstrated with the selective SGLT2 inhibitor empagliflozin in patients with established cardiovascular disease (2,3). In young adults with type 1 diabetes, treatment with the SGLT2 inhibitor empagliflozin for 8 weeks was associated with natriuresis, increased renal vascular resistance, and reductions in glomerular filtration rate (GFR) (using inulin clearances) and renal blood flow (assessed by p -aminohippuric acid clearance) in those with baseline hyperfiltration (4). This renal hemodynamic profile suggested that the 20% reduction in hyperfiltration observed in this trial was due to afferent vasoconstriction and a decline in intraglomerular hypertension (4). In adults with T2D, the reduction in intraglomerular hypertension is typically reflected by a mean reduction in estimated GFR (eGFR) of 2–4 mL/min/1.73 m2 after treatment initiation, followed by a stabilization of eGFR decline compared …
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".