Evidence map›Paper›PMID 27699707›Full record

ArticleEndocrine2017

Heterogeneity in glucose response curves during an oral glucose tolerance test and associated cardiometabolic risk.

Adam Hulman, Rebecca K Simmons, Dorte Vistisen, Adam G Tabák, Jacqueline M Dekker, Marjan Alssema, Femke Rutters, Anitra D M Koopman, Thomas P J Solomon, John P Kirwan and 9 more

Abstract read
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In one paragraph

Article in Endocrine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
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  10. Review
  11. Review of methods for detecting glycemic disorders.Diabetes research and clinical practice · 2020
    Review
  12. Review
  13. Article
  14. The Oral Glucose Tolerance Test: 100 Years Later.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Review
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. 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

19 authors.

Adam HulmanDepartment of Public Health, Section of Epidemiology, Aarhus University, Aarhus, Denmark. adam.hulman@ph.au.dk.
Rebecca K SimmonsDanish Diabetes Academy, Odense, Denmark.
Dorte VistisenSteno Diabetes Center, Gentofte, Denmark.
Adam G Tabák1st Department of Medicine, Semmelweis University Faculty of Medicine, Budapest, Hungary.
Jacqueline M DekkerDepartment of Biostatistics and Epidemiology, VU Medical Center, Amsterdam, Netherlands.
Marjan AlssemaDepartment of Biostatistics and Epidemiology, VU Medical Center, Amsterdam, Netherlands.
Femke RuttersDepartment of Biostatistics and Epidemiology, VU Medical Center, Amsterdam, Netherlands.
Anitra D M KoopmanDepartment of Biostatistics and Epidemiology, VU Medical Center, Amsterdam, Netherlands.
Thomas P J SolomonSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, UK.
John P KirwanDepartment of Pathobiology, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Anna JonssonNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Anette Prior GjesingNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Hans EibergDepartment of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.
Arne AstrupDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Oluf PedersenNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Thorkild I A SørensenNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Daniel R WitteDepartment of Public Health, Section of Epidemiology, Aarhus University, Aarhus, Denmark.
Kristine FærchSteno Diabetes Center, Gentofte, Denmark.

Funding

Age, Exercise, Diet: Effects on Insulin ResistanceR01AG012834 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI KIRWAN, JOHN P. · 2004 to 2008
$1.9M
Effect of Bariatric Surgery on Mechanisms of Type 2 Diabetes: The B2D TrialR01DK089547 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI KASHYAP, SANGEETA R, KIRWAN, JOHN P. · 2010 to 2013
$1.9M
NIA NIH HHS R01 AG012834NIDDK NIH HHS R01 DK089547
6 · The paper itself

Abstract

We aimed to examine heterogeneity in glucose response curves during an oral glucose tolerance test with multiple measurements and to compare cardiometabolic risk profiles between identified glucose response curve groups. We analyzed data from 1,267 individuals without diabetes from five studies in Denmark, the Netherlands and the USA. Each study included between 5 and 11 measurements at different time points during a 2-h oral glucose tolerance test, resulting in 9,602 plasma glucose measurements. Latent class trajectories with a cubic specification for time were fitted to identify different patterns of plasma glucose change during the oral glucose tolerance test. Cardiometabolic risk factor profiles were compared between the identified groups. Using latent class trajectory analysis, five glucose response curves were identified. Despite similar fasting and 2-h values, glucose peaks and peak times varied greatly between groups, ranging from 7-12 mmol/L, and 35-70 min. The group with the lowest and earliest plasma glucose peak had the lowest estimated cardiovascular risk, while the group with the most delayed plasma glucose peak and the highest 2-h value had the highest estimated risk. One group, with normal fasting and 2-h values, exhibited an unusual profile, with the highest glucose peak and the highest proportion of smokers and men. The heterogeneity in glucose response curves and the distinct cardiometabolic risk profiles may reflect different underlying physiologies. Our results warrant more detailed studies to identify the source of the heterogeneity across the different phenotypes and whether these differences play a role in the development of type 2 diabetes and cardiovascular disease.

Indexed as

AdultBlood GlucoseDenmarkDiabetes Mellitus, Type 2FastingFemaleGlucose IntoleranceGlucose Tolerance TestGlycated HemoglobinHumansMaleMiddle AgedNetherlandsSex FactorsUnited StatesBlood GlucoseGlycated HemoglobinCardiometabolic riskGlucose response curveLatent class trajectory analysisOral glucose tolerance test

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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.