Evidence mapPaperPMID 39201842Full record

ReviewChildren (Basel, Switzerland)2024

Exploring the Continuous Glucose Monitoring in Pediatric Diabetes: Current Practices, Innovative Metrics, and Future Implications.

Agata Chobot, Claudia Piona, Bruno Bombaci, Olga Kamińska-Jackowiak, Valentina Mancioppi, Stefano Passanisi

Registry-linked trialAbstract readReview
In one paragraph

Review in Children (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07535502 (The Effect of a Novel Food is Medicine Program on Outcomes in Pediatric Patients With Diabetes), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT07535502 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Effect of a Novel Food is Medicine Program on Outcomes in Pediatric Patients With Diabetes: A Randomized Controlled Trial

TypeinterventionalSponsorUniversity of Massachusetts, WorcesterRan2026 to 2029Enrolled50ConditionsType I Diabetes, Pediatrics, Food InsecurityArmsCommunity Servings, PedsQL Survey, Nutrition Counseling, SDOH Survey
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Agata ChobotDepartment of Pediatrics, Institute of Medical Sciences, University of Opole, 45-040 Opole, Poland.ORCID 0000-0002-9622-4433
Claudia PionaPediatric Diabetes and Metabolic Disorders Unit, Regional Center for Pediatric Diabetes, University City Hospital, 37126 Verona, Italy.
Bruno BombaciDepartment of Human Pathology in Adult and Developmental Age "Gaetano Barresi", University of Messina, 98122 Messina, Italy.ORCID 0000-0001-8664-1025
Olga Kamińska-JackowiakDepartment of Pediatrics, Institute of Medical Sciences, University of Opole, 45-040 Opole, Poland.
Valentina MancioppiPediatric Diabetes and Metabolic Disorders Unit, Regional Center for Pediatric Diabetes, University City Hospital, 37126 Verona, Italy.
Stefano PassanisiDepartment of Human Pathology in Adult and Developmental Age "Gaetano Barresi", University of Messina, 98122 Messina, Italy.ORCID 0000-0002-4369-7798

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) systems, including real-time CGM and intermittently scanned CGM, have revolutionized diabetes management, particularly in children and adolescents with type 1 diabetes (T1D). These systems provide detailed insights into glucose variability and detect asymptomatic and nocturnal hypoglycemia, addressing limitations of traditional self-monitoring blood glucose methods. CGM devices measure interstitial glucose concentrations constantly, enabling proactive therapeutic decisions and optimization of glycemic control through stored data analysis. CGM metrics such as time in range, time below range, and coefficient of variation are crucial for managing T1D, with emerging metrics like time in tight range and glycemia risk index showing potential for enhanced glycemic assessment. Recent advancements suggest the utility of CGM systems in monitoring the early stages of T1D and individuals with obesity complicated by pre-diabetes, highlighting its therapeutic versatility. This review discusses the current CGM systems for T1D during the pediatric age, established and emerging metrics, and future applications, emphasizing the critical role of CGM devices in improving glycemic control and clinical outcomes in children and adolescents with diabetes.

Indexed as

CGMchildrencontinuous glucose monitoringdiabetespediatricstime in rangetime in tight rangetype 1 diabetestype 2 diabetes

Identifiers

PMID39201842
PMCPMC11352692

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.