ArticleDiabetes technology & therapeutics2015
Effect of Insulin Dilution on Lowering Glycemic Variability in Pump-Treated Young Children with Inadequately Controlled Type 1 Diabetes.
Article in Diabetes technology & therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- International Society for Pediatric and Adolescent Diabetes Clinical Practice Consensus Guidelines 2024: Diabetes Technologies - Insulin Delivery.Hormone research in paediatrics · 2024Guideline
- Guidelines of the Polish Society of Pediatric Endocrinology and Diabetology and Pediatric Section of Diabetes Poland on insulin therapy using hybrid closed-loop systems in children and adolescents with diabetes in Poland.Pediatric endocrinology, diabetes, and metabolism · 2024Guideline
- Prediction and accuracy improvement of insulin pump in-fusion deviation based on LSTM and PID.PloS one · 2025Article
- Clinical and molecular description of two cases of neonatal diabetes secondary to mutations in PDX1.Endocrinology, diabetes & metabolism case reports · 2023Article
- ISPAD Clinical Practice Consensus Guidelines 2022: Managing diabetes in preschoolers.Pediatric diabetes · 2022Article
- Artificial Pancreas in Young Children.Diabetes technology & therapeutics · 2017Article
- Challenges in Delivering Smaller Doses of Insulin.Diabetes technology & therapeutics · 2015Article
Corrections and comments
- Commented on by
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe investigated whether in young children with inadequately controlled type 1 diabetes and technical problems with continuous subcutaneous infusion of insulin at 100 units/mL the switch to insulin diluted to 10 units/mL (U10) can limit technical problems and improve glycemic control. SUBJECTS AND
methodsDiluted U10 insulin was started in three children 3.8, 3.2, and 1.3 years old with a hemoglobin A1c (HbA1c) level (mean±SD) of 8.1±0.17% (65±1.7 mmol/mol) and insulin dose of 8.80±2.93 units/day. Patients were evaluated with continuous glucose monitoring (iPro™2; Medtronic Minimed, Northridge, CA) and a quality of life questionnaire (PedsQL™; www.pedsql.org/ ) and surveyed for pump-related problems at baseline and after 3 and 9 months of U10 insulin therapy.
resultsContinuous glucose monitoring records showed that glycemic variability assessed by SD and M100 decreased significantly (P=0.0085 and P=0.0482, respectively). HbA1c levels dropped to 7.3±1.00% (56±11.0 mmol/mol) after 3 months and to 6.7±0.55% (50±6.1 mmol/mol) after 9 months (P=0.12). Technical difficulties were minimized.
conclusionsThese results suggest that the use of U10 insulin decreases glycemic variability and improves hampered pump therapy in young children with inadequately controlled type 1 diabetes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.