Evidence map›Paper›PMID 39159241›Full record

ArticleDiabetes care2024

Early Dysglycemia Is Detectable Using Continuous Glucose Monitoring in Very Young Children at Risk of Type 1 Diabetes.

Aveni Haynes, Alexandra Tully, Grant J Smith, Megan A S Penno, Maria E Craig, John M Wentworth, Tony Huynh, Peter G Colman, Georgia Soldatos, Amanda J Anderson and 5 more

Abstract read
In one paragraph

Article in Diabetes care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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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

15 authors.

Aveni HaynesChildren's Diabetes Centre, Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.ORCID 0000-0001-9954-5016
Alexandra TullyChildren's Diabetes Centre, Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.
Grant J SmithChildren's Diabetes Centre, Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.
Megan A S PennoFaculty of Health and Medical Sciences and Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Maria E CraigFaculty of Medicine, School of Women's and Children's Health, University of New South Wales, Sydney, New South Wales, Australia.
John M WentworthDepartment of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Tony HuynhDepartment of Endocrinology and Diabetes, Queensland Children's Hospital, South Brisbane, Queensland, Australia.
Peter G ColmanDepartment of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Georgia SoldatosMonash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Amanda J AndersonFaculty of Health and Medical Sciences and Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Kelly J McGormFaculty of Health and Medical Sciences and Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Helena OakeyFaculty of Health and Medical Sciences and Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Jennifer J CouperDepartment of Diabetes and Endocrinology, Women's and Children's Hospital, Adelaide, South Australia, Australia.
Elizabeth A DavisChildren's Diabetes Centre, Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia.
ENDIA Study Group

Funding

Australasian Paediatric Endocrinology GroupBreakthrough T1D 3-PDF-2020-939-A-NDiabetes Research Western AustraliaRaine Medical Research FoundationThe Leona M. and Harry B. Helmsley Charitable Trust 2205-05241Women and Children's Hospital Research Foundation
6 · The paper itself

Abstract

objectiveContinuous glucose monitoring (CGM) can detect early dysglycemia in older children and adults with presymptomatic type 1 diabetes (T1D) and predict risk of progression to clinical onset. However, CGM data for very young children at greatest risk of disease progression are lacking. This study aimed to investigate the use of CGM data measured in children being longitudinally observed in the Australian Environmental Determinants of Islet Autoimmunity (ENDIA) study from birth to age 10 years. RESEARCH DESIGN AND

methodsBetween January 2021 and June 2023, 31 ENDIA children with persistent multiple islet autoimmunity (PM Ab+) and 24 age-matched control children underwent CGM assessment alongside standard clinical monitoring. The CGM metrics of glucose SD (SDSGL), coefficient of variation (CEV), mean sensor glucose (SGL), and percentage of time >7.8 mmol/L (>140 mg/dL) were determined and examined for between-group differences.

resultsThe mean (SD) ages of PM Ab+ and Ab- children were 4.4 (1.8) and 4.7 (1.9) years, respectively. Eighty-six percent of eligible PM Ab+ children consented to CGM wear, achieving a median (quartile 1 [Q1], Q3) sensor wear period of 12.5 (9.0, 15.0) days. PM Ab+ children had higher median (Q1, Q3) SDSGL (1.1 [0.9, 1.3] vs. 0.9 [0.8, 1.0] mmol/L; P < 0.001) and CEV (17.3% [16.0, 20.9] vs. 14.7% [12.9, 16.6]; P < 0.001). Percentage of time >7.8 mmol/L was greater in PM Ab+ children (median [Q1, Q3] 8.0% [4.4, 13.0] compared with 3.3% [1.4, 5.3] in Ab- children; P = 0.005). Mean SGL did not differ significantly between groups (P = 0.10).

conclusionsCGM is feasible and well tolerated in very young children at risk of T1D. Very young PM Ab+ children have increased SDSGL, CEV, and percentage of time >7.8 mmol/L, consistent with prior studies involving older participants.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1ChildChild, PreschoolContinuous Glucose MonitoringFemaleHumansInfantInfant, NewbornMaleBlood Glucose

Identifiers

PMID39159241
PMCPMC11417303

What OpenQuestion holds

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Registered trials

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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.