Glycaemic target attainment in people with Type 2 diabetes treated with insulin glargine/lixisenatide fixed‐ratio combination: a <i>post hoc</i> analysis of the LixiLan‐O and LixiLan‐L trials
Bibliographic record
Abstract
Abstract Aims Both fasting ( FPG ) and postprandial plasma glucose ( PPG ) contribute to HbA 1c levels. We investigated the relationship between achievement of American Diabetes Association ( ADA ) and American Association of Clinical Endocrinologists ( AACE ) recommended FPG and/or PPG targets and glycaemic efficacy outcomes in two trials. Methods In this post hoc analysis, data from participants with Type 2 diabetes in the phase 3 LixiLan‐O ( NCT 02058147) and LixiLan‐L ( NCT 02058160) trials were evaluated to compare the relationship between achievement of society‐recommended FPG and/or PPG targets and efficacy (HbA 1c change, HbA 1c goal attainment, weight change) and safety outcomes in the treatment groups. Results Across treatment arms, iG larLixi achieved the highest proportion of participants meeting both ADA ‐ and AACE ‐recommended FPG and PPG targets at study end in both trials. A higher proportion of participants in the iG larLixi (fixed‐ratio combination of insulin glargine and lixisenatide) vs. insulin glargine alone or lixisenatide alone treatment arms achieved HbA 1c goals ( P < 0.001 for overall comparisons), irrespective of ADA ‐ or AACE ‐defined targets. Hypoglycaemia rates [any, documented symptomatic (plasma glucose ≤ 3.9 mmol/l), and clinically important (plasma glucose < 3.0 mmol/l)] were low across all groups. Participants treated with iG larLixi tended to show weight loss or less weight gain compared with participants receiving insulin glargine alone. No differences were observed in average daily basal insulin dose at week 30 between the two treatment arms or across the different FPG and PPG target groups. Conclusion Insulin glargine and lixisenatide as a fixed‐ratio combination resulted in more participants reaching both FPG and PPG targets, leading to better HbA 1c target attainment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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".