Fixed-Ratio Combination of Insulin and GLP-1 RA in Patients with Longstanding Type 2 Diabetes: A Subanalysis of LixiLan-L
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Bibliographic record
Abstract
INTRODUCTION: With longer duration and progression of type 2 diabetes (T2D), β-cell function deteriorates and insulin therapy often becomes necessary. Glucagon-like peptide-1 receptor agonists such as lixisenatide that do not rely only on β-cell function and glucagon suppression primarily, but also lower glucose by other (insulin-independent) mechanisms such as delayed gastric emptying, may be appropriate adjuvant therapy to basal insulin in patients with longstanding T2D. METHODS: We assessed the efficacy and safety of insulin glargine (iGlar) versus iGlarLixi, a fixed-ratio combination of iGlar and lixisenatide, stratified by quartiles (Q) of T2D duration (≤ 7.305 [Q1], > 7.305 to ≤ 10.75 [Q2], > 10.75 to ≤ 15.67 [Q3], and > 15.67 years [Q4]) in the LixiLan-L trial (N = 736). RESULTS: Across all quartiles, the reduction in glycated haemoglobin was greater with iGlarLixi versus iGlar, and the difference was most pronounced in patients with the longest duration (Q4; least squares mean difference [standard error] - 0.62 [0.13], P < 0.0001). Additionally, hypoglycaemia rates were significantly lower with iGlarLixi versus iGlar in patients in Q4 (3.3 vs. 6.9 events/patient-year, P < 0.0001). CONCLUSION: iGlarLixi lowered glycated haemoglobin more versus iGlar regardless of T2D duration, with benefit retained even among patients with the longest T2D duration.
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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 | 0.001 |
| 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 it