A real-world study assessing the efficacy and safety of switching from basal bolus insulin therapy to once daily iGlarLixi in people with type 2 diabetes mellitus: soli de-escalation
Bibliographic record
Abstract
AIM: To compare glycemic outcomes in adults with type 2 diabetes mellitus (T2DM) switching from basal-bolus insulin (BBI) to once-daily iGlarLixi. MATERIALS AND METHODS: This real-world retrospective observational study analyzed electronic medical records of adults (≥18 years) with T2DM who switched from BBI to iGlarLixi (01/01/2017-30/09/2022) from the US Optum Market Clarity® database. Primary endpoint was HbA1c change at 6 months after switching to iGlarLixi. Secondary endpoints included HbA1c change at 3 months and body weight change and hypoglycemic events at 6 months. Subgroup analyses included individuals aged ≥65 years and those with baseline HbA1c ≥7 % (53 mmol/mol). RESULTS: Participants (N = 372, mean age: 58.9 years; ≥65 years old: 30.6 %; females: 60.5 %) showed significant HbA1c reduction (0.9 %; p < 0.0001) from 9.6 % at baseline to 8.6 % at 6 months. In participants ≥65 years and those with HbA1c ≥7 %, HbA1c decreased from 9.3 % and 9.8 % to 8.4 % and 8.8 % at 6 months, respectively. The proportion of participants achieving HbA1c <7 % (53 mmol/mol) doubled from 7.0 % to 14.8 % at 6 months after switching to iGlarLixi. Hypoglycemia incidence and event rates decreased across all populations. CONCLUSIONS: Switching from BBI to once-daily iGlarLixi improved glycemic control with significant HbA1c reduction and fewer hypoglycemic events.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".