Efficacy and safety of efpeglenatide in key patient subgroups from the BALANCE randomized trial, stratified by pre-diabetes status, BMI, and age at baseline
Bibliographic record
Abstract
Introduction Efpeglenatide is a long-acting glucagon-like peptide-1 receptor agonist being developed to improve glycemic control in type 2 diabetes (T2D). In the BALANCE 205 study ( NCT02075281 ), efpeglenatide significantly reduced body weight versus placebo in patients with obesity, or overweight with comorbidities, and without T2D. These subanalyses explore the efficacy and safety of efpeglenatide in subgroups of patients with pre-diabetes and stratified by body mass index (BMI) or age from the BALANCE study. Research design and methods The 20-week BALANCE study randomized patients with BMI ≥30 kg/m 2 or ≥27 kg/m 2 with comorbidities, and without diabetes, to efpeglenatide 4 mg or 6 mg once weekly, 6 mg or 8 mg once every 2 weeks, or placebo. For these subanalyses, patients were stratified by pre-diabetes status (glycated hemoglobin (HbA 1c ) 5.7%−6.4% (39–46 mmol/mol) or fasting plasma glucose (FPG) 100–125 mg/dL) and by BMI or age < or ≥ median values (34.9 kg/m 2 and 44 years, respectively) at baseline. Results In patients with pre-diabetes at baseline, all efpeglenatide doses led to greater proportions of patients reverting to normoglycemia (40.6%–64.3%) versus placebo (10.0%), and greater reductions in HbA 1c (0.30%–0.38%), FPG (7.7–14.1 mg/dL), and weight (5.6–7.3 kg) versus placebo (nominal p<0.05 for all). In patients with BMI or age < or ≥ median, greater reductions in weight were observed with all efpeglenatide doses versus placebo (nominal p<0.01 for all). The most common adverse events in patients receiving efpeglenatide across patient subgroups were gastrointestinal adverse events. Conclusions These results are consistent with the overall BALANCE population and suggest beneficial effects of efpeglenatide on glycemic control and body weight regardless of pre-diabetes status, age, or BMI at baseline. The effects of efpeglenatide on glycemic control in patients with pre-diabetes suggest it might help reduce the likelihood of at-risk patients developing diabetes.
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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 | 0.004 | 0.002 |
| 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 | 0.002 |
| 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".