Evidence map›Paper›PMID 29923262›Full record

ArticlePediatric diabetes2018

Continuous glucose monitoring and glycemic control among youth with type 1 diabetes: International comparison from the T1D Exchange and DPV Initiative.

Daniel J DeSalvo, Kellee M Miller, Julia M Hermann, David M Maahs, Sabine E Hofer, Mark A Clements, Eggert Lilienthal, Jennifer L Sherr, Martin Tauschmann, Reinhard W Holl and 1 more

Open access · hybridAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Pediatric diabetes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 3 pooled it
24.1field-weighted citation impact, top 1% 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

126 citing papers in PubMed, 3 syntheses or guidelines pooled it, 228 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Positive affect predicts enhanced quality of life and glycemic outcomes in adolescents with type 1 diabetes.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2026
    Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Diabetes Technology in Saudi Arabia: Current Status and Future Directions.Journal of diabetes science and technology · 2025
    Review
  20. Article

66 more citing papers are in PubMed but not listed here.

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

11 authors at 8 institutions in 3 countries.

Daniel J DeSalvoPediatric Endocrinology and Metabolism, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas.
Kellee M MillerJaeb Center for Health Research, Tampa, Florida.
Julia M HermannInstitute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany.
David M MaahsDepartment of Pediatrics, Stanford University, School of Medicine, Stanford, California.
Sabine E HoferDepartment of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-1267-4841
Mark A ClementsPediatric Endocrinology and Diabetes, Children's Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri.
Eggert LilienthalUniversity Children's Hospital at Bochum University, Bochum, Germany.
Jennifer L SherrDepartment of Pediatrics, Yale University School of Medicine, New Haven, Connecticut.
Martin TauschmannDepartment of Pediatrics, Medical University of Graz, Graz, Austria.
Reinhard W HollInstitute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany.
T1D Exchange and DPV Registries
Universität Ulm · DEBaylor College of Medicine · USChildren's Mercy Hospital · USInnsbruck Medical University · ATJaeb Center for Health Research · USMedical University of Graz · ATStanford Medicine · USYale University · US

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Longitudinal test of adherence & control in kids new to T1 diabetes & 5-9 yrs oldR01DK100779 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NELSON, EVE-LYNN · 2014 to 2018
$1.8M
Type 1 Diabetes TrialNet Clinical Centers - Kansas CityU01DK106984 · NIDDK · CHILDREN'S MERCY HOSP (KANSAS CITY, MO) · PI CLEMENTS, MARK A., MOORE, WAYNE V. · 2015 to 2018
$1.5M
An interactive mHealth app for better glycemic control in families of young kids with T1DDP3DK108211 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NELSON, EVE-LYNN · 2015 to 2015
$1.0M
Reducing hypoglycemia fear in parents of young kids with video-based telemedicineR21HD081502 · NICHD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI PATTON, SUSANA R · 2015 to 2016
$424k
SPeCTRE: The Sunflower Pediatric Clinical Trials Research ExtensionUG1HD090849 · NICHD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI MCCULLOH, RUSSELL JAMES · 2016 to 2016
$24k
Breakthrough T1DEuropean Foundation for the Study of DiabetesGerman Center for Diabetes ResearchGerman Diabetes AssociationINNODIALeona M. and Harry B. Helmsley Charitable TrustNICHD NIH HHS R21 HD081502NICHD NIH HHS UG1 HD090849NIDDK NIH HHS DP3 DK108211NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK100779NIDDK NIH HHS U01 DK106984NIH HHS 1R21HD081502NSF
6 · The paper itself

Abstract

backgroundTo assess the change in rates of pediatric real-time or intermittent scanning continuous glucose monitoring (CGM) use over the past 5 years, and how it impacts glycemic control, data from two registries were compared: the US-based type 1 diabetes Exchange Registry (T1DX) and the German/Austrian DPV (Prospective Diabetes Follow-Up Registry).

methodsRegistry participants aged <18 years with T1D duration ≥1 year encompassed 29 007 individuals in 2011 and 29 150 participants in 2016. Demographic data, CGM use and hemoglobin A1c (HbA1c) were obtained from medical records.

resultsCGM use increased from 2011 to 2016 in both registries across all age groups, regardless of gender, ethnic minority status or insulin delivery method. The increase in CGM use was most pronounced in the youngest patients, and usage rates remain lowest for adolescent patients in 2016. For both registries in 2016, mean HbA1c was lower among CGM users regardless of insulin delivery method compared to pump only (P < 0.001) and injection only (P < 0.001), and CGM users were more likely to achieve glycemic target of HbA1c <7.5% (56% vs 43% for DPV and 30% vs 15% for T1DX, P < 0.001). T1DX participants had a higher mean HbA1c compared with DPV despite whether they were CGM users or non-users; however, the difference was less pronounced in CGM users (P < 0.001).

conclusionsPediatric CGM use increased in both registries and was associated with lower mean HbA1c regardless of insulin delivery modality.

Indexed as

RegistriesAdolescentBlood GlucoseBlood Glucose Self-MonitoringChildChild, PreschoolDiabetes Mellitus, Type 1FemaleHumansMaleWearable Electronic DevicesBlood Glucosecontinuous glucose monitoringlongitudinal analysistype 1 diabetes

Identifiers

PMID29923262
PMCPMC6175652
OpenAlexW2809627227

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.