Evidence map›Paper›PMID 37929231›Full record

ArticlePediatric diabetes2023

Comparisons of school-day glycemia in different settings for children with type 1 diabetes using continuous glucose monitoring.

Christine A March, Michelle Nanni, James Lutz, Madison Kavanaugh, Kwonho Jeong, Linda M Siminerio, Scott Rothenberger, Elizabeth Miller, Ingrid M Libman

Open access · hybridAbstract read
In one paragraph

Article in Pediatric diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Christine A MarchDepartment of Pediatrics, University of Pittsburgh, Pittsburgh, PA.
Michelle NanniSchool of Medicine, University of Pittsburgh, Pittsburgh, PA.
James LutzSchool of Arts and Sciences, University of Pittsburgh, Pittsburgh, PA.
Madison KavanaughDepartment of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA.
Kwonho JeongCenter for Research on Health Care Data Center, University of Pittsburgh, Pittsburgh, PA.
Linda M SiminerioDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA.
Scott RothenbergerCenter for Research on Health Care Data Center, University of Pittsburgh, Pittsburgh, PA.
Elizabeth MillerDepartment of Pediatrics, University of Pittsburgh, Pittsburgh, PA.
Ingrid M LibmanDepartment of Pediatrics, University of Pittsburgh, Pittsburgh, PA.
University of Pittsburgh · USChildren's Hospital of Pittsburgh · US

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
NCATS NIH HHS KL2 TR001856
6 · The paper itself

Abstract

Objective: Using continuous glucose monitoring (CGM), we examined patterns in glycemia during school hours for children with type 1 diabetes, exploring differences between school and non-school time. Methods: We conducted a retrospective analysis of CGM metrics in children 7-12 years (n=217, diabetes duration 3.5±2.5 years, hemoglobin A1c 7.5±0.8%). Metrics were obtained for weekday school hours (8 AM to 3 PM) during four weeks in fall 2019. Two comparison settings included weekend (fall 2019) and weekday (spring 2020) data when children had transitioned to virtual school due to COVID-19. We used multilevel mixed models to examine factors associated with time in range (TIR) and compare glycemia between in-school, weekends, and virtual school. Results: Though CGM metrics were clinically similar across settings, TIR was statistically higher, and time above range (TAR), mean glucose, and standard deviation (SD) lower, for weekends and virtual school (p<0.001). Hour and setting exhibited a significant interaction for several metrics (p<0.001). TIR in-school improved from a mean of 40.9% at the start of the school day to 58.0% later in school, with a corresponding decrease in TAR. TIR decreased on weekends (60.8 to 50.7%) and virtual school (62.2 to 47.8%) during the same interval. Mean glucose exhibited a similar pattern, though there was little change in SD. Younger age (p=0.006), lower hemoglobin A1c (p<0.001), and insulin pump use (p=0.02) were associated with higher TIR in-school. Conclusion: Although TIR was higher for weekends and virtual school, glycemic metrics improve while in-school, possibly related to beneficial school day routines.

Indexed as

Diabetes Mellitus, Type 1Blood GlucoseBlood Glucose Self-MonitoringChildGlycated HemoglobinHumansRetrospective StudiesBlood GlucoseGlycated Hemoglobincontinuous glucose monitoringglycemic controlschool healthtime in rangetype 1 diabetes

Identifiers

PMID37929231
PMCPMC10623999
OpenAlexW4324045358

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.