Evidence map›Paper›PMID 32096282›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2020

Time spent outside of target glucose range for young children with type 1 diabetes: a continuous glucose monitor study.

L A DiMeglio, L G Kanapka, D J DeSalvo, B J Anderson, K R Harrington, M E Hilliard, L M Laffel, W V Tamborlane, M A Van Name, R P Wadwa and 5 more

Open access · greenAbstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  6. Correlation Between Time in Range and HbA1c in People with Type 2 Diabetes on Basal Insulin: Post Hoc Analysis of the SWITCH PRO Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
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  14. Beyond A1C: A Practical Approach to Interpreting and Optimizing Continuous Glucose Data in Youth.Diabetes spectrum : a publication of the American Diabetes Association · 2021
    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

15 authors at 7 institutions in 1 country.

L A DiMeglioIndiana University School of Medicine, Indianapolis, IN, USA.
L G KanapkaJaeb Center for Health Research, Tampa, FL, USA.ORCID 0000-0003-4440-5168
D J DeSalvoBaylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
B J AndersonBaylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
K R HarringtonJoslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
M E HilliardBaylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
L M LaffelJoslin Diabetes Center, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-2202-492X
W V TamborlaneYale School of Medicine, New Haven, CT, USA.
M A Van NameYale School of Medicine, New Haven, CT, USA.
R P WadwaBarbara Davis Center for Childhood Diabetes, Aurora, CO, USA.
S M WilliChildren's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
S WoernerIndiana University School of Medicine, Indianapolis, IN, USA.
J C WongUniversity of California San Francisco, San Francisco, CA, USA.
K M MillerJaeb Center for Health Research, Tampa, FL, USA.ORCID 0000-0002-1267-4841
SENCE Study Group
Baylor College of Medicine · USIndiana University School of MedicineJaeb Center for Health Research · USJoslin Diabetes Center · USYale University · USChildren's Hospital of Philadelphia · USUniversity of California, San Francisco · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Leona M. and Harry B. Helmsley Charitable TrustNIDDK NIH HHS P30 DK036836
6 · The paper itself

Abstract

aimTo assess the associations between demographic and clinical characteristics and sensor glucose metrics in young children with type 1 diabetes, using masked, continuous glucose monitoring data from children aged 2 to < 8 years. RESEARCH DESIGN AND

methodsThe analysis included 143 children across 14 sites in the USA, enrolled in a separate clinical trial. Eligibility criteria were: age 2 to <8 years; type 1 diabetes duration ≥3 months; no continuous glucose monitoring use for past 30 days; and HbA

resultsOn average, participants spent the majority (13 h) of the day in hyperglycaemia (>10.0 mmol/l) and a median of ~1 h/day in hypoglycaemia (<3.9 mmol/l). Participants with minority race/ethnicity and higher parent education levels spent more time in target range, 3.9-10.0 mmol/l, and less time in hyperglycaemia. More time in hypoglycaemia was associated with minority race/ethnicity and younger age at diagnosis. Continuous glucose monitoring metrics were similar in pump and injection users.

conclusionsGiven that both hypo- and hyperglycaemia negatively impact neurocognitive development, strategies to increase time in target glucose range for young children are needed.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringChildChild, PreschoolDiabetes Mellitus, Type 1FemaleGlycated HemoglobinGlycemic ControlHumansHypoglycemic AgentsInfusion Pumps, ImplantableInsulinInsulin Infusion SystemsMaleMonitoring, AmbulatoryBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulin

Identifiers

PMID32096282
PMCPMC9065795
OpenAlexW3006938343

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.