<scp>iGlarLixi</scp> versus basal plus <scp>Rapid‐Acting</scp> insulin in adults with type 2 diabetes advancing from basal insulin therapy: The <scp>SoliSimplify Real‐World</scp> study
Bibliographic record
Abstract
AIM: For people with suboptimally controlled type 2 diabetes (T2D) on basal insulin (BI), guidelines recommend several treatment advancement options. This study compared the clinical effectiveness of once-daily iGlarLixi versus a multiple-injection BI + rapid acting insulin (RAI) regimen in adults with T2D advancing from BI therapy in real-world clinical practice. MATERIALS AND METHODS: Electronic medical records from the Observational Medical Outcomes Partnership (OMOP) database were analysed retrospectively using propensity score matching to compare therapy advancement with iGlarLixi or BI + RAI in US adults ≥18 years with T2D on BI who had ≥1 valid glycated haemoglobin (HbA1c) value at baseline and at the 6-month follow-up. The primary objective was non-inferiority of iGlarLixi to BI + RAI in HbA1c change from baseline to 6 months (margin 0.3%). RESULTS: Propensity score matching generated cohorts with balanced baseline characteristics (N = 814 in each group). HbA1c reduction from baseline to 6 months with iGlarLixi was non-inferior to BI + RAI [mean difference (95% confidence interval): 0.1 (-0.1, 0.2)%; one-sided p = .0032]. At 6 months, weight gain was significantly lower with iGlarLixi than with BI + RAI [-0.8 (-1.3, -0.2) kg; two-sided p = .0069]. Achievement of HbA1c <7% without hypoglycaemia and weight gain were similar between groups [odds ratio (95% confidence interval): 1.15 (0.81, 1.63); p = .4280]. Hypoglycaemia was low in both groups, probably because of underreporting. CONCLUSIONS: In real-world clinical practice, glycaemic outcomes 6 months after treatment advancement from BI are similar for people with T2D using iGlarLixi versus BI + RAI, with iGlarLixi leading to less weight gain.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".