Evidence map›Paper›PMID 29018129›Full record

Trial reportStroke2017

Neuroimaging Correlates of Cerebral Microbleeds: The ARIC Study (Atherosclerosis Risk in Communities).

Jonathan Graff-Radford, Jeannette Simino, Kejal Kantarci, Thomas H Mosley, Michael E Griswold, B Gwen Windham, A Richey Sharrett, Marilyn S Albert, Rebecca F Gottesman, Clifford R Jack and 2 more

Open access · bronzeAbstract readClinical TrialMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Stroke, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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  14. Lower slow wave sleep and rapid eye movement sleep are associated with brain atrophy of Alzheimer's disease-vulnerable regions.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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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

12 authors at 4 institutions in 1 country.

Jonathan Graff-RadfordFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. GraffRadford.Jonathan@mayo.edu.
Jeannette SiminoFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Kejal KantarciFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Thomas H MosleyFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Michael E GriswoldFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
B Gwen WindhamFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
A Richey SharrettFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Marilyn S AlbertFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Rebecca F GottesmanFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Clifford R JackFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Prashanthi VemuriFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
David S KnopmanFrom the Departments of Neurology (J.G.R., D.S.K.) and Radiology (K.K., C.R.J., P.V.), Mayo Clinic, Rochester, MN; Department of Data Science, Gertrude Ford MIND Center (J.S., M.E.G.) and Department of Medicine (T.H.M., B.G.W.), University of Mississippi Medical Center, Jackson; Department of Neurology (M.S.A., R.F.G.), Johns Hopkins University, Baltimore, MD; and Department of Epidemiology (A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Johns Hopkins University · USMayo Clinic in Arizona · USWinnMed · USMayo Clinic · US

Funding

ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
ARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5M
ARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 4 of 5U01HL096814 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGHES, TIMOTHY M., WAGENKNECHT, LYNNE E · 2010 to 2018
$6.5M
The ARIC and Neurocognitive Longitudinal StudyR01HL070825 · NHLBI · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI MOSLEY, THOMAS H · 2002 to 2004
$5.1M
Neuroepidemiology of the vascular contribution to cognitive impairment and Alzheimer's diseaseK24AG052573 · NIA · JOHNS HOPKINS UNIVERSITY · PI GOTTESMAN, REBECCA F · 2016 to 2020
$803k
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS R01 HL070825NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NIA NIH HHS K24 AG052573NIA NIH HHS P50 AG016574
6 · The paper itself

Abstract

background and purposeCerebral microbleed (CMB) location (deep versus strictly lobar) may elucidate underlying pathology with deep CMBs being more associated with hypertensive vascular disease and lobar CMBs being more associated with cerebral amyloid angiopathy. The objective of this study was to determine whether neuroimaging signs of vascular disease and Alzheimer pathology are associated with different types of CMBs.

methodsAmong 1677 nondemented ARIC (Atherosclerosis Risk in Communities) participants (mean age=76±5 years; 40% men; 26% black) with 3-Tesla MRI scans at the fifth examination (2011-2013), we fit multinomial logistic regression models to quantify relationships of brain volumes (Alzheimer disease signature regions, total gray matter, frontal gray matter, and white matter hyperintensity volumes), infarct frequencies (lacunar, nonlacunar, and total), and apolipoprotein E (number of ε4 alleles) with CMB location (none, deep/mixed, or strictly lobar CMBs). Models were weighted for the sample selection scheme and adjusted for age, sex, education, hypertension, ever smoking status, diabetes mellitus, race site membership, and estimated intracranial volume (brain volume models only).

resultsDeep/mixed and strictly lobar CMBs had prevalences of 8% and 16%, respectively. Larger white matter hyperintensity burden, greater total infarct frequency, smaller frontal volumes (in women only), and smaller total gray matter volume were associated with greater risk of both deep and lobar CMBs relative to no CMBs. Greater white matter hyperintensity volume was also associated with greater risk of deep relative to lobar CMBs. Higher lacunar and nonlacunar infarct frequencies were associated with higher risk of deep CMBs, whereas smaller Alzheimer disease signature region volume and apolipoprotein E ε4 homozygosity were associated with greater risk of lobar CMBs.

conclusionsCMBs are a common vascular pathology in the elderly. Markers of hypertensive small-vessel disease may contribute to deep CMBs while cerebral amyloid angiopathy may drive development of lobar CMBs.

Indexed as

NeuroimagingAgedAged, 80 and overAtherosclerosisCerebral HemorrhageFemaleHumansMaleMiddle AgedProspective StudiesRisk Factorsapolipoprotein E4cerebral microbleedintracerebral hemorrhagemagnetic resonance imagingneuroimaging

Identifiers

PMID29018129
PMCPMC5685663
OpenAlexW2761020194

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.