Evidence map›Paper›PMID 27534260›Full record

Trial reportScientific reports2016

Glycaemic Profiles of Children With Overweight and Obesity in Free-living Conditions in Association With Cardiometabolic Risk.

Jesse Rijks, Kylie Karnebeek, Jan-Willem van Dijk, Elke Dorenbos, Willem-Jan Gerver, Pauline Stouthart, Jogchum Plat, Anita Vreugdenhil

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Review
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

8 authors at 3 institutions in 1 country.

Jesse RijksCentre for Overweight Adolescent and Children's Healthcare, Department of Paediatrics, Maastricht University Medical Centre, Maastricht, The Netherlands.
Kylie KarnebeekCentre for Overweight Adolescent and Children's Healthcare, Department of Paediatrics, Maastricht University Medical Centre, Maastricht, The Netherlands.
Jan-Willem van DijkInstitute of Sports and Exercise Studies, HAN University of Applied Sciences, Nijmegen, The Netherlands.
Elke DorenbosCentre for Overweight Adolescent and Children's Healthcare, Department of Paediatrics, Maastricht University Medical Centre, Maastricht, The Netherlands.
Willem-Jan GerverCentre for Overweight Adolescent and Children's Healthcare, Department of Paediatrics, Maastricht University Medical Centre, Maastricht, The Netherlands.
Pauline StouthartCentre for Overweight Adolescent and Children's Healthcare, Department of Paediatrics, Maastricht University Medical Centre, Maastricht, The Netherlands.
Jogchum PlatSchool of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, The Netherlands.
Anita VreugdenhilCentre for Overweight Adolescent and Children's Healthcare, Department of Paediatrics, Maastricht University Medical Centre, Maastricht, The Netherlands.
Maastricht University · NLMaastricht University Medical Centre · NLHAN University of Applied Sciences · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance is common among children with overweight and obesity. However, knowledge about glucose fluctuations in these children is scarce. This study aims to evaluate glycaemic profiles in children with overweight and obesity in free-living conditions, and to examine the association between glycaemic profiles with insulin resistance and cardiovascular risk parameters. One hundred eleven children with overweight and obesity were included. 48-hour sensor glucose concentrations in free-living conditions, fasting plasma and post-glucose load concentrations, serum lipid and lipoprotein concentrations, homeostatic model assessment of insulin resistance (HOMA-IR), and blood pressure were evaluated. Hyperglycaemic glucose excursions (≥7.8 mmol/L) were observed in 25% (n = 28) of the children. The median sensor glucose concentration was 5.0 (2.7-7.3) mmol/L, and correlated with fasting plasma glucose concentrations (rs = 0.190, p = 0.046), serum insulin concentrations (rs = 0.218, p = 0.021), and HOMA-IR (rs = 0.230, p = 0.015). The hyperglycaemic area under the curve (AUC) correlated with waist circumference z-score (rs = 0.455, p = 0.025), triacylglycerol concentrations (rs = 0.425, p = 0.024), and HOMA-IR (rs = 0.616, p < 0.001). In conclusion, hyperglycaemic glucose excursions are frequently observed in children with overweight and obesity in free-living conditions. Children with insulin resistance had higher median sensor glucose concentrations and a larger hyperglycaemic sensor glucose AUC, which are both associated with specific parameters predicting cardiovascular disease risk.

Indexed as

Insulin ResistanceAdolescentBlood GlucoseBlood PressureCardiovascular DiseasesChildFemaleHumansLipidsMaleObesityRisk FactorsBlood GlucoseLipids

Identifiers

PMID27534260
PMCPMC4989152
OpenAlexW2512180018

What OpenQuestion holds

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LicenceCC BY
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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.