Evidence map›Paper›PMID 28017827›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2017

Risk of incident clinical diagnosis of Alzheimer's disease-type dementia attributable to pathology-confirmed vascular disease.

Hiroko H Dodge, Jian Zhu, Randy Woltjer, Peter T Nelson, David A Bennett, Nigel J Cairns, David W Fardo, Jeffrey A Kaye, Deniz-Erten Lyons, Nora Mattek and 8 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. The association of MIND diet with cognitive resilience to neuropathologies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  8. Review
  9. Vascular contributions to Alzheimer's disease.Translational research : the journal of laboratory and clinical medicine · 2023
    Review
  10. Endothelial Dysfunction in Neurodegenerative Diseases.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Brain arterial dilatation and the risk of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2019
    Article
  17. Review
  18. Article
  19. Religious Orders Study and Rush Memory and Aging Project.Journal of Alzheimer's disease : JAD · 2018
    Review
  20. 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

18 authors at 6 institutions in 1 country.

Hiroko H DodgeLayton Aging and Alzheimer's Disease Center, Department of Neurology, Oregon Health & Science University, Portland, OR; Michigan Alzheimer's Disease Center, Department of Neurology, University of Michigan, Ann Arbor, MI. Electronic address: dodgeh@ohsu.edu.
Jian ZhuSchool of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI.
Randy WoltjerLayton Aging and Alzheimer's Disease Center, Department of Neurology, Oregon Health & Science University, Portland, OR.
Peter T NelsonSanders-Brown Center on Aging, University of Kentucky, Lexington, KY; Department of Pathology, University of Kentucky, Lexington, KY.
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL.
Nigel J CairnsKnight Alzheimer's Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, MO; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO.
David W FardoSanders-Brown Center on Aging, University of Kentucky, Lexington, KY; College of Public Health, Department of Biostatistics, University of Kentucky, Lexington, KY.
Jeffrey A KayeLayton Aging and Alzheimer's Disease Center, Department of Neurology, Oregon Health & Science University, Portland, OR; Portland VA Medical Center, Portland, OR.
Deniz-Erten LyonsLayton Aging and Alzheimer's Disease Center, Department of Neurology, Oregon Health & Science University, Portland, OR; Portland VA Medical Center, Portland, OR.
Nora MattekLayton Aging and Alzheimer's Disease Center, Department of Neurology, Oregon Health & Science University, Portland, OR.
Julie A SchneiderRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL; Department of Pathology, Rush University Medical Center, Chicago, IL.
Lisa C SilbertLayton Aging and Alzheimer's Disease Center, Department of Neurology, Oregon Health & Science University, Portland, OR; Portland VA Medical Center, Portland, OR.
Chengjie XiongKnight Alzheimer's Disease Research Center, Department of Neurology, Washington University School of Medicine, St. Louis, MO.
Lei YuRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL.
Frederick A SchmittSanders-Brown Center on Aging, University of Kentucky, Lexington, KY; College of Medicine, Departments of Neurology and Psychiatry, University of Kentucky, Lexington, KY.
Richard J KryscioSanders-Brown Center on Aging, University of Kentucky, Lexington, KY; College of Public Health, Department of Biostatistics, University of Kentucky, Lexington, KY.
Erin L AbnerSanders-Brown Center on Aging, University of Kentucky, Lexington, KY; College of Public Health, Department of Epidemiology, University of Kentucky, Lexington, KY.
SMART data consortium
University of Kentucky · USOregon Health & Science University · USRush University Medical Center · USPortland VA Medical Center · USUniversity of Michigan–Ann Arbor · USWashington University in St. Louis · US

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI RICHARD Justin PERRIN · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI FAGAN, ANNE · 1985 to 2019
$52.1M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Outreach, Recruitment and Education CoreP30AG008017 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 1990 to 2019
$27.7M
University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI GOLD, BRIAN TIMOTHY, VAN ELDIK, LINDA J · 2006 to 2020
$23.3M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2016 to 2020
$10.1M
Study Coordination and Measurement CoreP01AG043362 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI HOFER, SCOTT M. · 2013 to 2017
$7.8M
Role of impaired cognitive states & risk factors in conversion to mixed dementiasR01AG038651 · NIA · UNIVERSITY OF KENTUCKY · PI ABNER, ERIN, KRYSCIO, RICHARD J. · 2011 to 2023
$6.1M
Risk Factors, Pathology, and Clinical Expressions of ADRF1AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2014 to 2014
$6.0M
NIA NIH HHS K25 AG043546NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P01 AG043362NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG028383NIA NIH HHS P30 AG053760NIA NIH HHS P50 AG005681NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG034119NIA NIH HHS R01 AG038651NIA NIH HHS RF1 AG015819
6 · The paper itself

Abstract

introductionThe presence of cerebrovascular pathology may increase the risk of clinical diagnosis of Alzheimer's disease (AD).

methodsWe examined excess risk of incident clinical diagnosis of AD (probable and possible AD) posed by the presence of lacunes and large infarcts beyond AD pathology using data from the Statistical Modeling of Aging and Risk of Transition study, a consortium of longitudinal cohort studies with more than 2000 autopsies. We created six mutually exclusive pathology patterns combining three levels of AD pathology (low, moderate, or high AD pathology) and two levels of vascular pathology (without lacunes and large infarcts or with lacunes and/or large infarcts).

resultsThe coexistence of lacunes and large infarcts results in higher likelihood of clinical diagnosis of AD only when AD pathology burden is low. DISCUSSION: Our results reinforce the diagnostic importance of AD pathology in clinical AD. Further harmonization of assessment approaches for vascular pathologies is required.

Indexed as

Aged, 80 and overAlzheimer DiseaseApolipoproteins EBrainCerebrovascular DisordersFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleProportional Hazards ModelsRiskApolipoproteins EAlzheimer's disease pathologyCommunity samplePopulation Attributable Risk%SMART consortiumVascular pathology

Identifiers

PMID28017827
PMCPMC5466467
OpenAlexW2561564813

What OpenQuestion holds

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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.