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Published on: June 11, 2012
Automated insulin delivery in young children with type 1 diabetes: a systematic review and meta-analysis
Puguh Oktavian1,2, Citrawati Dyah Kencono Wungu3,4, Indah Mohd Amin5
1Faculty of Medicine, Universitas Airlangga, Surabaya 60132, Indonesia.
Insights
Automated insulin delivery (AID) systems significantly improve time-in-range for young children with type 1 diabetes. This meta-analysis confirms AID’s benefits and safety in this age group.
Area of Science:
- Pediatric Endocrinology
- Metabolic Diseases
- Medical Technology
Background:
- Automated insulin delivery (AID) systems have not been systematically evaluated in children under 7 years with type 1 diabetes.
- Type 1 diabetes management in young children presents unique challenges.
- Evaluating the efficacy and safety of AID in this population is crucial.
Purpose of the Study:
- To systematically evaluate the glycemic outcomes of AID systems in young children (<7 years) with type 1 diabetes.
- To conduct a meta-analysis of available studies on AID use in this specific pediatric population.
- To assess the safety profile of AID systems in children under 7.
Main Methods:
- Comprehensive literature search across major databases (Web of Science, PubMed, Scopus, CENTRAL) and clinical trial registries.
- Inclusion of studies reporting glycemic outcomes in children younger than 7 years, excluding non-English publications.
- Meta-analysis using random-effects models to determine pooled estimates for the primary outcome: change in time-in-range (TIR).
Main Results:
- The meta-analysis included 30 studies with 1,155 young children, demonstrating a significant increase in TIR (9.88%) with AID systems.
- AID use resulted in an additional 2.37 hours/day in target glucose range (70-180 mg/dL), with notable improvements overnight.
- Improvements in TIR were consistent across various AID devices, with reduced hyperglycemia and infrequent severe hypoglycemia or diabetic ketoacidosis.
Conclusions:
- Automated insulin delivery systems offer significant benefits for improving glycemic control in young children with type 1 diabetes.
- AID systems demonstrate a favorable safety profile in this pediatric cohort.
- This systematic review provides evidence supporting the use of AID in managing type 1 diabetes in children under 7 years.
Background:
Automated insulin delivery (AID) in young children (<7 years) with type 1 diabetes has not yet been systematically evaluated.
Materials And Methods:
Web of Science, PubMed, Scopus, CENTRAL, and ClinicalTrials.gov were searched from inception to December 9, 2025. Studies reporting glycemic outcomes in children younger than 7 years were included in this meta-analysis. Studies not published in English were excluded. The primary outcome was the change in time-in-range (TIR; 70-180 mg/dL). Pooled estimates were calculated using random-effects models and expressed as mean changes (MCs) with 95% confidence intervals (CIs).
Results:
This study included 30 studies (9 randomized controlled trials, 7 single-arm studies, and 14 cohort studies) involving 1155 young children. AID systems were associated with a significant increase in TIR (MC, 9.88% [95% CI 9.14 to 10.62], I2 = 8%, P < .0001, moderate certainty), equivalent to 2.37 hours/day. Favorable improvement was also observed during the daytime (MC, 6.88% [95% CI 5.70 to 8.07]) and overnight (MC, 16.85% [95% CI 13.48 to 20.22]). TIR improvements were comparable across devices: MiniMed 670G (9.65%), MiniMed 780G (10.04%), CamAPS FX (10.58%), Control-IQ (9.51%), Omnipod 5 (10.25%), and Open Source (6.77%). AID use was also associated with reduced hyperglycemia exposure and modest reductions in glycated hemoglobin, without significant changes in hypoglycemia exposure. Episodes of severe hypoglycemia and diabetic ketoacidosis were infrequent.
Conclusion:
This systematic review with meta-analysis revealed that AID systems have greater benefits for improving glycemic outcomes and have good safety profiles in young children with type 1 diabetes.
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