Real-World Health Outcomes of Insulin Glargine 300 U/mL vs Insulin Glargine 100 U/mL in Adults With Type 1 and Type 2 Diabetes in the Canadian LMC Diabetes Patient Registry: The REALITY Study
Bibliographic record
Abstract
OBJECTIVES: This study evaluated real-world clinical outcomes of patients with type 1 diabetes (T1D) and type 2 diabetes (T2D) initiating or transferring to insulin glargine 300 U/mL (Gla-300) vs insulin glargine 100 U/mL (Gla-100). METHODS: This is a retrospective cohort study using data from the Canadian LMC Diabetes Patient Registry. The 4 following cohorts were analyzed: 1) insulin-naïve patients with T2D who initiated Gla-300 or Gla-100, 2) patients with T2D who switched from neutral protamine Hagedorn (NPH) or detemir to Gla-300 or Gla-100, 3) patients with T2D who switched from Gla-100 to Gla-300 and 4) patients with T1D who switched from Gla-100, NPH or detemir to Gla-300. RESULTS: Of 376 propensity score-matched insulin-naïve patients, 6-month reduction in glycated hemoglobin (A1C) was similar between Gla-300 (-1.78%±1.85%; p<0.001) and Gla-100 (-1.74%±1.87%; p<0.001). In 114 propensity score-matched patients who switched from NPH or detemir, 6-month reduction in A1C was similar between Gla-300 (-0.78%±1.14%) and Gla-100 (-0.70%±1.57%). The 396 patients who switched from Gla-100 to Gla-300 had a significant reduction in A1C (-0.45%±1.39%; p<0.001). In 196 patients with T1D who switched from Gla-100, NPH or detemir to Gla-300, there was a significant reduction in A1C of -0.17%±1.19% (p=0.04). CONCLUSIONS: In a real-world clinical setting, insulin-naïve patients who initiated Gla-300 or Gla-100 showed similar changes in A1C and weight. Patients with T1D or T2D using Gla-300 transferred from another basal insulin had significant reductions in A1C with no change in weight or insulin dose.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".