Dulaglutide and Kidney Function–Related Outcomes in Type 2 Diabetes: A REWIND Post Hoc Analysis
Bibliographic record
Abstract
OBJECTIVE: Dulaglutide (DU) 1.5 mg was associated with improved composite renal outcomes that included new-onset macroalbuminuria in people with type 2 diabetes with previous cardiovascular disease or cardiovascular risk factors in the REWIND (Researching cardiovascular Events with a Weekly INcretin in Diabetes) trial. This exploratory post hoc analysis evaluated kidney function-related outcomes, excluding the new-onset macroalbuminuria component, among the REWIND participants. RESEARCH DESIGN AND METHODS: Intent-to-treat analyses were performed on REWIND participants (n = 4,949 DU, n = 4,952 placebo). Time to occurrence of a composite kidney function-related outcome (≥40% sustained decline in estimated glomerular filtration rate [eGFR], per the Chronic Kidney Disease Epidemiology Collaboration 2009 equation, end-stage renal disease, or renal-related death), and mean annual eGFR slope were examined. Analyses were conducted overall and within subgroups defined by baseline urinary albumin-to-creatinine ratio (UACR <30 or ≥30 mg/g) and baseline eGFR (<60 or ≥60 mL/min/1.73 m2). RESULTS: The post hoc composite kidney function-related outcome occurred less frequently among participants assigned to DU than placebo (hazard ratio [HR] 0.75, 95% CI 0.62-0.92, P = 0.004), with no evidence of a differential DU treatment effect by UACR or eGFR subgroup. A ≥40% sustained eGFR decline occurred less frequently among participants assigned to DU than placebo (HR 0.72, 95% CI 0.58-0.88, P = 0.002). The mean annual decline in eGFR slope was significantly smaller for participants assigned to DU than placebo (-1.37 vs. -1.56 mL/min/1.73 m2/year, P < 0.001); results were similar for all subgroups. CONCLUSIONS: The estimated 25% reduced hazard of a kidney function-related outcome among participants assigned to DU highlights its potential for delaying or slowing the development of diabetic kidney disease in people with type 2 diabetes.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".