Evidence map›Paper›PMID 26525870›Full record

ArticleActa diabetologica2016

Analysis of the relationships between type 2 diabetes status, glycemic control, and neuroimaging measures in the Diabetes Heart Study Mind.

Laura M Raffield, Amanda J Cox, Barry I Freedman, Christina E Hugenschmidt, Fang-Chi Hsu, Benjamin C Wagner, Jianzhao Xu, Joseph A Maldjian, Donald W Bowden

Open access · bronzeAbstract read
In one paragraph

Article in Acta diabetologica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 20% 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, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  14. Impact of Intensive Glucose Control on Brain Health: Meta-Analysis of Cumulative Data from 16,584 Patients with Type 2 Diabetes Mellitus.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021
    Article
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  16. Review
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  19. Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks.Deep learning in medical image analysis and multimodal learning for clinical decision support : Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, held in conjunction with MICCAI 2017 Quebec City, QC,... · 2017
    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

9 authors at 2 institutions in 2 countries.

Laura M RaffieldMolecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Amanda J CoxMolecular Basis of Disease, Griffith University, Southport, QLD, Australia.
Barry I FreedmanDepartment of Internal Medicine-Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Christina E HugenschmidtDepartment of Gerontology and Geriatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Fang-Chi HsuDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Benjamin C WagnerDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Jianzhao XuCenter for Human Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Joseph A MaldjianDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Donald W BowdenCenter for Human Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA. dbowden@wakehealth.edu.
Wake Forest University · USGriffith University · AU

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Epidemiology of cardiovascular disease in diabetesR01HL067348 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2001 to 2004
$4.3M
Genetic Epidemiology of Cerebrovascular Disease and Cognition in DiabetesR01NS058700 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2008 to 2012
$3.0M
Cerebrovascular Disease and Cognitive Performance in African AmericansR01NS075107 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DIVERS, JASMIN, FREEDMAN, BARRY IRA · 2011 to 2015
$2.8M
Whole Genome Association Analysis of the Diabetes Heart StudyR01HL092301 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2010 to 2013
$2.7M
Cognitive/Brain Effects of Adding Weight Loss to Exercise in Obese Older AdultsK01AG043547 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGENSCHMIDT, CHRISTINA E · 2013 to 2017
$609k
Genetic and imaging analysis of cerebrovascular disease and cognition in diabetesF32DK083214 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGENSCHMIDT, CHRISTINA E · 2008 to 2011
$157k
Analysis of Coding Variants Associated with Age-Related PhenotypesF31AG044879 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RAFFIELD, LAURA M · 2013 to 2015
$86k
NCATS NIH HHS UL1 TR001420NHLBI NIH HHS R01 HL067348NHLBI NIH HHS R01 HL092301NIA NIH HHS F31 AG044879NIA NIH HHS K01 AG043547NIDDK NIH HHS F32 DK083214NINDS NIH HHS R01 NS058700NINDS NIH HHS R01 NS075107
6 · The paper itself

Abstract

aimsTo examine the relationships between type 2 diabetes (T2D) status, glycemic control, and T2D duration with magnetic resonance imaging (MRI)-derived neuroimaging measures in European Americans from the Diabetes Heart Study (DHS) Mind cohort.

methodsRelationships were examined using marginal models with generalized estimating equations in 784 participants from 514 DHS Mind families. Fasting plasma glucose, glycated hemoglobin, and diabetes duration were analyzed in 682 participants with T2D. Models were adjusted for potential confounders, including age, sex, history of cardiovascular disease, smoking, educational attainment, and use of statins or blood pressure medications. Association was tested with gray and white matter volume, white matter lesion volume, gray matter cerebral blood flow, and white and gray matter fractional anisotropy and mean diffusivity.

resultsAdjusting for multiple comparisons, T2D status was associated with reduced white matter volume (p = 2.48 × 10(-6)) and reduced gray and white matter fractional anisotropy (p ≤ 0.001) in fully adjusted models, with a trend toward increased white matter lesion volume (p = 0.008) and increased gray and white matter mean diffusivity (p ≤ 0.031). Among T2D-affected participants, neither fasting glucose, glycated hemoglobin, nor diabetes duration were associated with the neuroimaging measures assessed (p > 0.05).

conclusionsWhile T2D was significantly associated with MRI-derived neuroimaging measures, differences in glycemic control in T2D-affected individuals in the DHS Mind study do not appear to significantly contribute to variation in these measures. This supports the idea that the presence or absence of T2D, not fine gradations of glycemic control, may be more significantly associated with age-related changes in the brain.

Indexed as

AgedBlood GlucoseBrainCardiovascular DiseasesCase-Control StudiesCognition DisordersCohort StudiesDiabetes Mellitus, Type 2FemaleHumansMagnetic Resonance ImagingMaleMiddle AgedBlood GlucoseDiabetes Heart StudyGlycemic controlMagnetic resonance imagingType 2 diabetes

Identifiers

PMID26525870
PMCPMC4853281
OpenAlexW1935334629

What OpenQuestion 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 OpenQuestion graph.