Evidence map›Paper›PMID 34183320›Full record

ArticleBMJ open diabetes research & care2021

White matter hyperintensity volume in pre-diabetes, diabetes and normoglycemia.

Sergio Grosu, Roberto Lorbeer, Felix Hartmann, Susanne Rospleszcz, Fabian Bamberg, Christopher L Schlett, Franziska Galie, Sonja Selder, Sigrid Auweter, Margit Heier and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-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

19 citing papers in PubMed, 25 citations in OpenAlex.

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  17. Diabetes and dementia: Clinical perspective, innovation, knowledge gaps.Journal of diabetes and its complications · 2022
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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

16 authors at 7 institutions in 2 countries.

Sergio GrosuDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany sergio.grosu@med.uni-muenchen.de sophia.stoecklein@med.uni-muenchen.de.ORCID 0000-0002-9093-6499
Roberto LorbeerDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Felix HartmannDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Susanne RospleszczInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
Fabian BambergDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Christopher L SchlettDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Franziska GalieDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Sonja SelderDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Sigrid AuweterDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Margit HeierInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
Wolfgang RathmannInstitute for Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany.
Katharina Mueller-PeltzerDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Karl-Heinz LadwigInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
Birgit B Ertl-WagnerDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Sophia StoeckleinDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany sergio.grosu@med.uni-muenchen.de sophia.stoecklein@med.uni-muenchen.de.
LMU Klinikum · DEUniversity of Freiburg · DEHelmholtz Zentrum München · DETUM Klinikum · DEUniversity Hospital Augsburg · DEUniversity of Toronto · CAZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs white matter hyperintensities (WMHs) of the brain are associated with an increased risk of stroke, cognitive decline, and depression, elucidating the associated risk factors is important. In addition to age and hypertension, pre-diabetes and diabetes may play important roles in the development of WMHs. Previous studies have, however, shown conflicting results. We aimed to investigate the effect of diabetes status and quantitative markers of glucose metabolism on WMH volume in a population-based cohort without prior cardiovascular disease. RESEARCH DESIGN AND

methods400 participants underwent 3 T MRI. WMHs were manually segmented on 3D fluid-attenuated inversion recovery images. An oral glucose tolerance test (OGTT) was administered to all participants not previously diagnosed with diabetes to assess 2-hour serum glucose concentrations. Fasting glucose concentrations and glycated hemoglobin (HbA1c) levels were measured. Zero-inflated negative binomial regression analyses of WMH volume and measures of glycemic status were performed while controlling for cardiovascular risk factors and multiple testing.

resultsThe final study population comprised 388 participants (57% male; age 56.3±9.2 years; n=98 with pre-diabetes, n=51 with diabetes). Higher WMH volume was associated with pre-diabetes (p=0.001) and diabetes (p=0.026) compared with normoglycemic control participants after adjustment for cardiovascular risk factors. 2-hour serum glucose (p<0.001), but not fasting glucose (p=0.389) or HbA1c (p=0.050), showed a significant positive association with WMH volume after adjustment for cardiovascular risk factors.

conclusionOur results indicate that high 2-hour serum glucose concentration in OGTT, but not fasting glucose levels, may be an independent risk factor for the development of WMHs, with the potential to inform intensified prevention strategies in individuals at risk of WMH-associated morbidity.

Indexed as

Cognitive DysfunctionDiabetes MellitusPrediabetic StateWhite MatterAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle Agedbrain diseasesdiabetes complicationsmetabolicMRIpre-diabetic state

Identifiers

PMID34183320
PMCPMC8240582
OpenAlexW3175477675

What OpenQuestion holds

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LicenceCC BY-NC
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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.