Continuous Glucose Monitoring for Glycemic Control in Children and Adolescents Diagnosed with Diabetes Type 1: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
AIM: The aim of this meta-analysis was to evaluate the impact of continuous glucose monitoring (CGM) systems on short- and long-term glycemic control in children and adolescents diagnosed with diabetes type 1. METHODS: The review was registered in PROSPERO (CRD42019135152). We partly updated a formerly published systematic review and searched several databases (Ovid MEDLINE, Embase, CENTRAL, and Clinicaltrials.gov) in May 2019. Summary measures were estimated as relative risks (RR) and standardized mean differences (SMD). The primary endpoint of our analysis was frequency of hypoglycemic events. Quality of evidence was evaluated using the GRADE approach. RESULTS: Eleven studies with a total number of 818 patients were included in our review. Meta-analyses indicated a potential benefit of CGM systems regarding the relative risk of a severe hypoglycemic event (RR 0.78; 95% CI 0.29 to 2.04) and mean level of HbA1c at end of study (SMD -0.23; 95% CI -0.46 to 0.00). Certainty of evidence for effect estimates of these meta-analyses was low due to risk of selection bias and imprecision of the included studies. Qualitative analyses of the secondary outcomes of user satisfaction and long-term development of blood glucose supported these findings. CONCLUSION: CGM systems may improve glycemic control in children and adolescents diagnosed with diabetes type 1, but the imprecision of effects is still a problem. Only a few studies examined and reported data for pediatric populations in sufficient detail. Further research is needed to clarify advantages and disadvantages of CGM systems in children and adolescents.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".