Benefits of LixiLan, a Titratable Fixed-Ratio Combination of Insulin Glargine Plus Lixisenatide, Versus Insulin Glargine and Lixisenatide Monocomponents in Type 2 Diabetes Inadequately Controlled on Oral Agents: The LixiLan-O Randomized Trial
Bibliographic record
Abstract
OBJECTIVE To evaluate efficacy and safety of LixiLan (iGlarLixi), a novel titratable fixed-ratio combination of insulin glargine (iGlar) and lixisenatide (Lixi), compared with both components, iGlar and Lixi, given separately in type 2 diabetes inadequately controlled on metformin with or without a second oral glucose-lowering drug. RESEARCH DESIGN AND METHODS After a 4-week run-in to optimize metformin and stop other oral antidiabetic drugs, participants (N = 1,170, mean diabetes duration ∼8.8 years, BMI ∼31.7 kg/m2) were randomly assigned to open-label once-daily iGlarLixi or iGlar, both titrated to fasting plasma glucose <100 mg/dL (<5.6 mmol/L) up to a maximum insulin dose of 60 units/day, or to once-daily Lixi (20 μg/day) while continuing with metformin. The primary outcome was HbA1c change at 30 weeks. RESULTS Greater reductions in HbA1c from baseline (8.1% [65 mmol/mol]) were achieved with iGlarLixi compared with iGlar and Lixi (−1.6%, −1.3%, −0.9%, respectively), reaching mean final HbA1c levels of 6.5% (48 mmol/mol) for iGlarLixi versus 6.8% (51 mmol/mol) and 7.3% (56 mmol/mol) for iGlar and Lixi, respectively (both P < 0.0001). More subjects reached target HbA1c <7% with iGlarLixi (74%) versus iGlar (59%) or Lixi (33%) (P < 0.0001 for all). Mean body weight decreased with iGlarLixi (−0.3 kg) and Lixi (−2.3 kg) and increased with iGlar (+1.1 kg, difference 1.4 kg, P < 0.0001). Documented symptomatic hypoglycemia (≤70 mg/dL) was similar with iGlarLixi and iGlar (1.4 and 1.2 events/patient-year) and lower with Lixi (0.3 events/patient-year). iGlarLixi improved postprandial glycemic control versus iGlar and demonstrated considerably fewer nausea (9.6%) and vomiting (3.2%) events than Lixi (24% and 6.4%, respectively). CONCLUSIONS iGlarLixi complemented iGlar and Lixi effects to achieve meaningful HbA1c reductions, close to near normoglycemia without increases in either hypoglycemia or weight, compared with iGlar, and had low gastrointestinal adverse effects compared with Lixi.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".