74-LB: Real-World Glycemic Outcomes in Adult Patients with Type 1 Diabetes Using a Real-Time Continuous Glucose Monitor Compared with an Intermittently Scanned Glucose Monitor and Self-Measured Blood Glucose—A Retrospective Observational Study from the Canadian
Bibliographic record
Abstract
Real-time continuous glucose monitoring (rtCGM) and intermittently scanned CGM (isCGM) have both been shown to improve glycemic outcomes in people with T1D. In this retrospective analysis, we propensity score matched CGM naïve adults with T1D who initiated a rtCGM or an isCGM device. HbA1c and CGM metrics were assessed at 6-12-months. Among the 143 matched patients/cohort (age 43 ± 14 years; T1D duration 22 ± 14 years; HbA1c 8.4 ± 1.0%) , rtCGM users had a significantly greater change in HbA1c (-0.7 ± 0.1%) compared to isCGM users (-0.4 ± 0.1%) (p=0.01) . There was a significantly greater change in HbA1c for rtCGM compared to isCGM when baseline HbA1c was <8.5% (difference -0.4% [-0.6 to -0.2], p<0.001) , and in MDI users (difference -0.3% [-0.5 to 0.0], p=0.04) . Compared to isCGM users, rtCGM users had significantly greater time in range (58.3 ± 16.1% vs. 54.5 ± 17.1%, p=0.03) , lower time below range (2.1 ± 2.7% vs. 6.1 ± 5.0%, p<0.001) and lower glycemic variability (Table) . In this real-world analysis of adults with T1D, rtCGM users had a significantly greater reduction in HbA1c at 6-12 months, significantly greater time in range, lower time below range, and lower glycemic variability, compared to a matched cohort of isCGM users. Disclosure R. E. Brown: None. L. Chu: None. G. J. Norman: Employee; Dexcom, Inc. A. Abitbol: Consultant; Amgen Inc., AstraZeneca, Bayer Inc., Boehringer Ingelheim International GmbH, Dexcom, Inc., Eli Lilly and Company, Janssen Pharmaceuticals, Inc., Novo Nordisk, Other Relationship; AstraZeneca, Bayer Inc., Boehringer Ingelheim International GmbH, Dexcom, Inc., Eli Lilly and Company, Insulet Corporation, Janssen Pharmaceuticals, Inc., Merck & Co., Inc., Novo Nordisk, Novo Nordisk, Sanofi, Senseonics. Funding DexCom Canada, Co.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".