Evidence map›Paper›PMID 33098484›Full record

ReviewActa neuropathologica2021

Brain arteriolosclerosis.

Brittney L Blevins, Harry V Vinters, Seth Love, Donna M Wilcock, Lea T Grinberg, Julie A Schneider, Rajesh N Kalaria, Yuriko Katsumata, Brian T Gold, Danny J J Wang and 15 more

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

Review in Acta neuropathologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 3 pooled it
7.7field-weighted citation impact, top 2% 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

112 citing papers in PubMed, 3 syntheses or guidelines pooled it, 198 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Neuropathology in a diverse cohort of oldest-old: The LifeAfter90 study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Article
  11. Genetics of intracerebral hemorrhage.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  12. Modeling small vessel disease burden and vascular dementia likelihood from NACC data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Review
  18. Article
  19. Review
  20. Article

52 more citing papers are in PubMed but not listed here.

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

25 authors at 11 institutions in 3 countries.

Brittney L BlevinsDepartment of Neuroscience, University Kentucky, Lexington, KY, 40536, USA.
Harry V VintersDepartment of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA.
Seth LoveUniversity of Bristol and Southmead Hospital, Bristol, BS10 5NB, UK.
Donna M WilcockSanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA.
Lea T GrinbergDepartment of Neurology and Pathology, UCSF, San Francisco, CA, USA.
Julie A SchneiderDepartments of Neurology and Pathology, Rush University Medical Center, Chicago, IL, 60612, USA.
Rajesh N KalariaTranslational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK.
Yuriko KatsumataSanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA.
Brian T GoldSanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA.
Danny J J WangLaboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Samantha J MaLaboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Lincoln M P ShadeSanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA.
David W FardoSanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA.
Anika M S HartzSanders-Brown Center on Aging, Department of Pharmacology and Nutritional Sciences, University Kentucky, Lexington, KY, 40536, USA.
Gregory A JichaSanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA.
Karin B NelsonNational Institutes of Health, Bethesda, MD, USA.
Shino D MagakiDepartment of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA.
Frederick A SchmittSanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA.
Merilee A TeylanDepartment of Epidemiology, University Washington, Seattle, WA, 98105, USA.
Eseosa T IghodaroDepartment of Neurology, Mayo Clinic, Rochester, MN, 55905, USA.
Panhavuth PheSanders-Brown Center on Aging, University Kentucky, Lexington, KY, 40536, USA.
Erin L AbnerSanders-Brown Center on Aging, Department of Epidemiology, University Kentucky, Lexington, KY, 40536, USA.
Matthew D CykowskiDepartments of Pathology and Genomic Medicine and Neurology, Houston Methodist Hospital, Houston, TX, 77030, USA.
Linda J Van EldikSanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA.
Peter T NelsonSanders-Brown Center on Aging, Department of Pathology, University of Kentucky, Lexington, KY, 40536, USA. peter.nelson@uky.edu.
University of Kentucky · USRonald Reagan UCLA Medical Center · USUniversity of Southern California · USMethodist Hospital · USNational Institutes of Health · USNewcastle University · GBRush University Medical Center · USUniversidade de São Paulo · BRUniversity of Bristol · GBUniversity of Washington · USWinnMed · US

Funding

NATIONAL ALZHEIMERS COORDINATING CENTER (NACC)U01AG016976 · NIA · UNIVERSITY OF WASHINGTON · PI KUKULL, WALTER ANTHONY · 1999 to 2020
$72.8M
THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI GRABOWSKI, THOMAS J. · 1985 to 2019
$57.2M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI FAGAN, ANNE · 1985 to 2019
$52.1M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
Satellite Diagnostic and Treatment Clinic CoreP50AG008702 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DE JAGER, PHILIP L · 1989 to 2019
$46.3M
National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 1985 to 2019
$43.0M
VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRASKIE, MEREDITH NICOLE · 1985 to 2019
$41.0M
VESICULAR LOCALIZATION AND FUNCTION OF PRESENILIN 1 FRAGMENTP50AG005138 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GROSSMAN, HILLEL · 1985 to 2019
$37.9M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 1985 to 2019
$37.6M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
UC Irvine Alzheimer's Disease Research Center Induced Pluripotent Stem Cell CoreP50AG016573 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI LAFERLA, FRANK M · 2000 to 2019
$37.0M
Medical Research Council G0400074Medical Research Council G0502157Medical Research Council G0900652Medical Research Council G1100540NCATS NIH HHS TL1 TR001997NIA NIH HHS K24 AG053435NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG008051NIA NIH HHS P30 AG010124NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG012300NIA NIH HHS P30 AG013846NIA NIH HHS P30 AG013854NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG028383NIA NIH HHS P30 AG035982NIA NIH HHS P30 AG049638NIA NIH HHS P30 AG053760NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG062422NIA NIH HHS P30 AG062428NIA NIH HHS P30 AG062429NIA NIH HHS P30 AG072946NIA NIH HHS P50 AG005133NIA NIH HHS P50 AG005136NIA NIH HHS P50 AG005138NIA NIH HHS P50 AG005142NIA NIH HHS P50 AG005146NIA NIH HHS P50 AG005681NIA NIH HHS P50 AG008702NIA NIH HHS P50 AG016573NIA NIH HHS P50 AG023501NIA NIH HHS P50 AG025688NIA NIH HHS P50 AG047266NIA NIH HHS P50 AG047270NIA NIH HHS P50 AG047366NIA NIH HHS R01 AG039621NIA NIH HHS R01 AG055449NIA NIH HHS R01 AG057187NIA NIH HHS R01 AG061111NIA NIH HHS R21 AG061551NIA NIH HHS R56 AG057191NIA NIH HHS RF1 AG039621NIA NIH HHS T32 AG057461NIA NIH HHS U01 AG016976NIA NIH HHS U24 AG072122NICHD NIH HHS R01 HD064993NIH HHS K24AG053435NIH HHS P30 AG028383NIH HHS R01 AG039621NIH HHS R01AG055449NIH HHS R01 AG057187NIH HHS R01 HD064993NIH HHS R56 AG057191NIH HHS S10 OD023573NIH HHS U01 AG016976NIH HHS U54 NS100717NINDS NIH HHS RF1 NS118584NINDS NIH HHS U54 NS100717
6 · The paper itself

Abstract

Brain arteriolosclerosis (B-ASC), characterized by pathologic arteriolar wall thickening, is a common finding at autopsy in aged persons and is associated with cognitive impairment. Hypertension and diabetes are widely recognized as risk factors for B-ASC. Recent research indicates other and more complex risk factors and pathogenetic mechanisms. Here, we describe aspects of the unique architecture of brain arterioles, histomorphologic features of B-ASC, relevant neuroimaging findings, epidemiology and association with aging, established genetic risk factors, and the co-occurrence of B-ASC with other neuropathologic conditions such as Alzheimer's disease and limbic-predominant age-related TDP-43 encephalopathy (LATE). There may also be complex physiologic interactions between metabolic syndrome (e.g., hypertension and inflammation) and brain arteriolar pathology. Although there is no universally applied diagnostic methodology, several classification schemes and neuroimaging techniques are used to diagnose and categorize cerebral small vessel disease pathologies that include B-ASC, microinfarcts, microbleeds, lacunar infarcts, and cerebral amyloid angiopathy (CAA). In clinical-pathologic studies that factored in comorbid diseases, B-ASC was independently associated with impairments of global cognition, episodic memory, working memory, and perceptual speed, and has been linked to autonomic dysfunction and motor symptoms including parkinsonism. We conclude by discussing critical knowledge gaps related to B-ASC and suggest that there are probably subcategories of B-ASC that differ in pathogenesis. Observed in over 80% of autopsied individuals beyond 80 years of age, B-ASC is a complex and under-studied contributor to neurologic disability.

Indexed as

AgedAged, 80 and overAnimalsArteriolesBrainCerebral Amyloid AngiopathyCognition DisordersHumansIntracranial ArteriosclerosisNeuroimagingArteriosclerosiscAVUNeuroimagingNeuropathologySenescenceSVD

Identifiers

PMID33098484
PMCPMC8503820
OpenAlexW4205703637

What OpenQuestion holds

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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.