660-P: The Effect of Real-Time Continuous Glucose Monitors on Fear of Hypoglycemia in People with Type 1 Diabetes: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Background: Real-time continuous glucose monitors (rtCGM) are associated with improved type 1 diabetes (T1D) management and quality of life but little is known on their impact on fear of hypoglycemia (FOH) . This review and meta-analysis assessed the impact of rtCGM on FOH in T1D. Methods: Studies assessing FOH in non-pregnant adults with T1D using rtCGM compared to capillary blood glucose (CBG) or intermittently scanned CGM (isCGM) were included. Results from RCTs were pooled using a random-effects model to calculate the standardized mean difference (SMD) with 95% CI. Results: We identified 14 original studies, with 2590 participants and lasting 8 to 26 weeks for RCTs and 16 to 52 weeks for observational studies. Ten RCTs were included in the meta-analysis. A clear trend was observed that rtCGM was associated with lower FOH (mean difference (MD) = -3.44, 95%CI [-4.02, -2.85]) with the effect size showing a significant moderate association between rtCGM and FOH reduction compared to controls (SMD= -0.52, 95%CI [-1.02, -0.02], I2= 92%) (Figure) . Observational studies (n= 4) showed a significant association between rtCGM use and lower FOH (MD = -4.10, 95%CI [-4.84, -3.36]) . Conclusions: Compared to both isCGM and CBG; rtCGM use shows a moderate trend for lower FOH in medium-term RCTs, which was further supported by results from longer observational studies. Disclosure M.K.Talbo: None. A.Katz: None. T.Peters: None. J.Yale: Advisory Panel; Bayer AG, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Novo Nordisk Canada Inc., Sanofi, Research Support; Bayer AG, Speaker's Bureau; Abbott Diabetes, AstraZeneca, Bayer AG, Dexcom, Inc., Eli Lilly and Company, Janssen Pharmaceuticals, Inc., Merck & Co., Inc., Novo Nordisk Canada Inc., Sanofi. Z.Wu: Other Relationship; Eli Lilly and Company. A.Brazeau: Research Support; Eli Lilly and Company, Novo Nordisk, Sanofi.
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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 | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.046 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".