Evidence map›Paper›PMID 32303651›Full record

ArticleNeurology2020

Association between kidney disease measures and intracranial atherosclerosis: The ARIC study.

Qing Hao, Rebecca F Gottesman, Ye Qiao, Li Liu, Richa Sharma, Elizabeth Selvin, Kunihiro Matsushita, Josef Coresh, Bruce A Wasserman

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Current perspectives on the pathogenesis of cerebral atherosclerosis.Journal of inflammation (London, England) · 2025
    Review
  3. Article
  4. Review
  5. 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 1 institution in 1 country.

Qing HaoFrom the Department of Neurology (Q.H.), Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Neurology (R.F.G.) and Radiology (Y.Q., L.L., B.A.W.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (R.S.), Yale School of Medicine, New Haven, CT; Department of Epidemiology (E.S., K.M.), Johns Hopkins Bloomberg School of Public Health; and Departments of Epidemiology (J.C.), Biostatistics(J.C.), and Medicine (J.C.), Johns Hopkins Medical Institutions, Baltimore, MD.ORCID 0000-0002-1097-893X
Rebecca F GottesmanFrom the Department of Neurology (Q.H.), Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Neurology (R.F.G.) and Radiology (Y.Q., L.L., B.A.W.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (R.S.), Yale School of Medicine, New Haven, CT; Department of Epidemiology (E.S., K.M.), Johns Hopkins Bloomberg School of Public Health; and Departments of Epidemiology (J.C.), Biostatistics(J.C.), and Medicine (J.C.), Johns Hopkins Medical Institutions, Baltimore, MD.
Ye QiaoFrom the Department of Neurology (Q.H.), Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Neurology (R.F.G.) and Radiology (Y.Q., L.L., B.A.W.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (R.S.), Yale School of Medicine, New Haven, CT; Department of Epidemiology (E.S., K.M.), Johns Hopkins Bloomberg School of Public Health; and Departments of Epidemiology (J.C.), Biostatistics(J.C.), and Medicine (J.C.), Johns Hopkins Medical Institutions, Baltimore, MD.
Li LiuFrom the Department of Neurology (Q.H.), Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Neurology (R.F.G.) and Radiology (Y.Q., L.L., B.A.W.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (R.S.), Yale School of Medicine, New Haven, CT; Department of Epidemiology (E.S., K.M.), Johns Hopkins Bloomberg School of Public Health; and Departments of Epidemiology (J.C.), Biostatistics(J.C.), and Medicine (J.C.), Johns Hopkins Medical Institutions, Baltimore, MD.
Richa SharmaFrom the Department of Neurology (Q.H.), Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Neurology (R.F.G.) and Radiology (Y.Q., L.L., B.A.W.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (R.S.), Yale School of Medicine, New Haven, CT; Department of Epidemiology (E.S., K.M.), Johns Hopkins Bloomberg School of Public Health; and Departments of Epidemiology (J.C.), Biostatistics(J.C.), and Medicine (J.C.), Johns Hopkins Medical Institutions, Baltimore, MD.
Elizabeth SelvinFrom the Department of Neurology (Q.H.), Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Neurology (R.F.G.) and Radiology (Y.Q., L.L., B.A.W.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (R.S.), Yale School of Medicine, New Haven, CT; Department of Epidemiology (E.S., K.M.), Johns Hopkins Bloomberg School of Public Health; and Departments of Epidemiology (J.C.), Biostatistics(J.C.), and Medicine (J.C.), Johns Hopkins Medical Institutions, Baltimore, MD.ORCID 0000-0001-6923-7151
Kunihiro MatsushitaFrom the Department of Neurology (Q.H.), Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Neurology (R.F.G.) and Radiology (Y.Q., L.L., B.A.W.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (R.S.), Yale School of Medicine, New Haven, CT; Department of Epidemiology (E.S., K.M.), Johns Hopkins Bloomberg School of Public Health; and Departments of Epidemiology (J.C.), Biostatistics(J.C.), and Medicine (J.C.), Johns Hopkins Medical Institutions, Baltimore, MD.
Josef CoreshFrom the Department of Neurology (Q.H.), Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Neurology (R.F.G.) and Radiology (Y.Q., L.L., B.A.W.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (R.S.), Yale School of Medicine, New Haven, CT; Department of Epidemiology (E.S., K.M.), Johns Hopkins Bloomberg School of Public Health; and Departments of Epidemiology (J.C.), Biostatistics(J.C.), and Medicine (J.C.), Johns Hopkins Medical Institutions, Baltimore, MD.
Bruce A WassermanFrom the Department of Neurology (Q.H.), Icahn School of Medicine at Mount Sinai, New York, NY; Departments of Neurology (R.F.G.) and Radiology (Y.Q., L.L., B.A.W.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (R.S.), Yale School of Medicine, New Haven, CT; Department of Epidemiology (E.S., K.M.), Johns Hopkins Bloomberg School of Public Health; and Departments of Epidemiology (J.C.), Biostatistics(J.C.), and Medicine (J.C.), Johns Hopkins Medical Institutions, Baltimore, MD. bwasser@jhmi.edu.
Johns Hopkins University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
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
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
Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
The ARIC and Neurocognitive Longitudinal StudyR01HL070825 · NHLBI · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI MOSLEY, THOMAS H · 2002 to 2004
$5.1M
The Intracranial Atherosclerotic Disease and Cognitive Impairment StudyR01HL105930 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SURI, MUHAMMAD FAREED, WASSERMAN, BRUCE A · 2011 to 2014
$2.7M
The Intracranial Atherosclerotic Disease and Cognitive Impairment StudyR01HL105626 · NHLBI · UNIVERSITY OF MINNESOTA · PI SURI, MUHAMMAD FAREED, WASSERMAN, BRUCE A · 2011 to 2014
$1.3M
Neuroepidemiology of the vascular contribution to cognitive impairment and Alzheimer's diseaseK24AG052573 · NIA · JOHNS HOPKINS UNIVERSITY · PI GOTTESMAN, REBECCA F · 2016 to 2020
$803k
Research and Mentoring in the Clinical Epidemiology of Type 2 DiabetesK24DK106414 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2015 to 2019
$654k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS K99 HL106232NHLBI NIH HHS R01 HL070825NHLBI NIH HHS R01 HL105626NHLBI NIH HHS R01 HL105930NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NIA NIH HHS K24 AG052573NIDDK NIH HHS K24 DK106414NIDDK NIH HHS R01 DK089174NINDS NIH HHS R25 NS079211
6 · The paper itself

Abstract

objectiveTo test the association between reduced kidney function (assessed by estimated glomerular filtration rate [eGFR] and cystatin C [CysC]) and kidney damage (assessed by urinary albumin-to-creatinine ratio [ACR]) and intracranial atherosclerotic disease (ICAD) by high-resolution vessel wall MRI (VWMRI) in the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS).

methodsWe conducted a cross-sectional analysis of ARIC participants with data on kidney measures and VWMRI in 2011 to 2013. The main outcomes were presence of intracranial plaques and luminal stenosis. Multivariable models were adjusted for demographics, cardiovascular risk factors, and use of antithrombotic medications.

resultsA total of 1,762 participants (mean ± SD age, 76.3 ± 5.3) were included. eGFR based on CysC (eGFRcysc) <60 mL/min/1.73 m

conclusionIn community-dwelling older adults, reduced kidney function or elevated kidney damage was associated with ICAD measured by VWMRI. This finding may help to better identify a population at high risk for ICAD.

Indexed as

Independent LivingMental Status and Dementia TestsAgedAged, 80 and overCohort StudiesCross-Sectional StudiesFemaleGlomerular Filtration RateHumansIntracranial ArteriosclerosisKidney Function TestsMaleProspective StudiesRenal Insufficiency, ChronicRisk Factors

Identifiers

PMID32303651
PMCPMC7357292
OpenAlexW3016463242

What OpenQuestion holds

Textmetadata
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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.