Efficacy and safety of lixisenatide in patients with type 2 diabetes and renal impairment
Bibliographic record
Abstract
AIMS: This post hoc assessment evaluated the efficacy and safety of once-daily, prandial glucagon-like peptide-1 receptor agonist lixisenatide in patients with type 2 diabetes (T2D) and normal renal function (estimated glomerular filtration rate ≥90 mL/min), or mild (60-89 mL/min) or moderate (30-59 mL/min) renal impairment. METHODS: Patients from 9 lixisenatide trials in the GetGoal clinical trial programme were categorized by baseline creatinine clearance: normal renal function (lixisenatide n = 2094, placebo n = 1150); renal impairment (mild: lixisenatide n = 637, placebo n = 414; moderate: lixisenatide n = 122, placebo n = 68). Meta-analyses of placebo-adjusted mean differences between baseline renal categories were performed for efficacy and safety outcomes. RESULTS: HbA1c, 2-hour postprandial plasma glucose and fasting plasma glucose were comparably reduced in lixisenatide-treated patients with normal renal function, and mild and moderate renal impairment. The most common adverse events (AEs) in all renal function categories were gastrointestinal (GI), predominantly nausea and vomiting. A 14% higher incidence of GI AEs and a 10% higher incidence of nausea and vomiting were seen with mild impairment vs normal function (P = .003 for both), but no significant differences were observed between the mild and moderate impairment categories (P = .99 and P = .57, respectively), or between the moderate impairment and normal categories (P = .16 and P = .65, respectively). Additionally, the incidence of hypoglycaemia was similar in all categories. CONCLUSIONS: This study demonstrates that baseline renal status does not affect efficacy outcomes in lixisenatide- vs placebo-treated patients, and that no lixisenatide dose adjustment is required for patients with T2D with mild or moderate renal impairment.
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.009 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".