Once-Weekly Efpeglenatide Dose-Range Effects on Glycemic Control and Body Weight in Patients With Type 2 Diabetes on Metformin or Drug Naive, Referenced to Liraglutide
Bibliographic record
Abstract
OBJECTIVE To explore the efficacy, safety, and tolerability of once-weekly efpeglenatide, a long-acting glucagon-like peptide 1 receptor agonist (GLP-1 RA), in early type 2 diabetes (T2D) (drug naive or on metformin monotherapy). RESEARCH DESIGN AND METHODS EXCEED 203 was a 12-week, randomized, placebo-controlled, double-blind, parallel-group, dose-ranging study of efpeglenatide once weekly referenced to open-label liraglutide 1.8 mg (exploratory analysis). Participants, ∼90% on metformin monotherapy, were randomized to one of five efpeglenatide doses (0.3, 1, 2, 3, or 4 mg q.w.; n = 181), placebo (n = 37), or liraglutide (≤1.8 mg daily; n = 36). The primary efficacy end point was change in HbA1c from baseline to week 13. RESULTS From a baseline HbA1c of 7.7–8.0% (61.0–63.9 mmol/mol), all efpeglenatide doses ≥1 mg significantly reduced HbA1c versus placebo (placebo-adjusted least squares [LS] mean changes 0.6–1.2%, P < 0.05 for all) to a final HbA1c of 6.3–6.8% (45.4–50.6 mmol/mol); masked efpeglenatide 4 mg was noninferior to open-label liraglutide. Greater proportions treated with efpeglenatide ≥1 mg than placebo achieved HbA1c <7% (61–72% vs. 24%, P < 0.05 for all), and greater reductions in body weight were observed with efpeglenatide 3 and 4 mg versus placebo (placebo-adjusted LS mean differences −1.4 and −2.0 kg, respectively, P < 0.05 for both). Rates of nausea and vomiting were consistent with other GLP-1 RAs and rapidly subsided after the initial 2 weeks. No neutralizing antibodies were detected with efpeglenatide. CONCLUSIONS Efpeglenatide once weekly led to significant reductions in HbA1c and weight, with a safety profile consistent with the GLP-1 RA class in patients with early T2D mostly on metformin monotherapy.
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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) | 0.001 | 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".