Efpeglenatide and Clinical Outcomes With and Without Concomitant Sodium-Glucose Cotransporter-2 Inhibition Use in Type 2 Diabetes: Exploratory Analysis of the AMPLITUDE-O Trial
Bibliographic record
Abstract
Background: Both sodium-glucose cotransporter-2 (SGLT2) inhibitors and glucagon-like peptide-1 receptor agonists reduce cardiovascular events among patients with type 2 diabetes. However, no cardiovascular outcome trial has evaluated the long-term effects of their combined use. The AMPLITUDE-O trial (Effect of Efpeglenatide on Cardiovascular Outcomes) reported that once-weekly injections of the glucagon-like peptide-1 receptor agonists efpeglenatide (versus placebo) reduced major adverse cardiovascular events (MACEs); MACEs, coronary revascularization, or unstable angina hospitalization (expanded MACEs); a renal composite outcome; and MACEs or death in people with type 2 diabetes and cardiovascular or renal disease. The trial uniquely stratified randomization by baseline or anticipated use of SGLT2 inhibitors and included the highest prevalence at baseline (N=618, 15.2%) of SGLT2 inhibitor use among glucagon-like peptide-1 receptor agonist cardiovascular outcome trials to date. Its results were analyzed to estimate the combined effect of SGLT2 inhibitors and efpeglenatide on clinical outcomes. Methods: Cardiovascular and renal outcomes were analyzed with Cox proportional hazards models adjusted for region, SGLT2 inhibitor randomization strata, and the SGLT2 inhibitor–by–treatment interaction. Continuous variables were analyzed with a mixed-effects models for repeated measures that also included an interaction term. Results: The effect (hazard ratio [95% CI]) of efpeglenatide versus placebo in the absence and presence of baseline SGLT2 inhibitors on MACEs (0.74 [0.58–0.94] and 0.70 [0.37–1.30], respectively), expanded MACEs (0.77 [0.62–0.96] and 0.87 [0.51–1.48]), renal composite (0.70 [0.59–0.83] and 0.52 [0.33–0.83]), and MACEs or death (0.74 [0.59–0.93] and 0.65 [0.36–1.19]) did not differ by baseline SGLT2 inhibitor use ( P for all interactions >0.2). The reduction of blood pressure, body weight, low-density lipoprotein cholesterol, and urinary albumin-to-creatinine ratio by efpeglenatide also appeared to be independent of concurrent SGLT2 inhibitor use (all interaction P ≥0.08). Last, adverse events did not differ by baseline SGLT2 inhibitor use. Conclusions: The efficacy and safety of efpeglenatide appear to be independent of concurrent SGLT2 inhibitor use. These data support combined SGLT2 inhibitor and glucagon-like peptide-1 receptor agonist therapy in type 2 diabetes. Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT03496298.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".