Evidence map›Paper›PMID 27709107›Full record

ArticleThe journal of prevention of Alzheimer's disease2016

The Effect of Vascular Neuropathology on Late-life Cognition: Results from the SMART Project.

R J Kryscio, E L Abner, P T Nelson, D Bennett, J Schneider, L Yu, L S Hemmy, K O Lim, K Masaki, N Cairns and 8 more

Open access · greenAbstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  5. Article
  6. Review
  7. Article
  8. Clinical diagnoses among individuals with primary age-related tauopathy versus Alzheimer's neuropathology.Laboratory investigation; a journal of technical methods and pathology · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Review
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 2 institutions in 1 country.

R J KryscioSanders-Brown Center on Aging, University of Kentucky, USA.
E L AbnerSanders-Brown Center on Aging, University of Kentucky, USA.
P T NelsonSanders-Brown Center on Aging, University of Kentucky, USA.
D BennettRush Alzheimer's Disease Center, Rush University Medical Center, USA.
J SchneiderRush Alzheimer's Disease Center, Rush University Medical Center, USA.
L YuRush Alzheimer's Disease Center, Rush University Medical Center, USA.
L S HemmyUniversity of Minnesota and the Geriatric Research Education and Clinical Center at the Minnesota Veteran's Administration Health Care System, USA.
K O LimUniversity of Minnesota and the Geriatric Research Education and Clinical Center at the Minnesota Veteran's Administration Health Care System, USA.
K MasakiKuakini Medical Center, USA.
N CairnsSanders-Brown Center on Aging, University of Kentucky, USA.
C XiongKnight Alzheimer's Disease Research Center, Washington University, USA.
R WoltjerLayton Aging and Alzheimer Disease Center, Oregon Health & Science University, USA.
H H DodgeLayton Aging and Alzheimer Disease Center, Oregon Health & Science University, USA; Michigan Alzheimer's Disease Center, University of Michigan, USA.
S TyasUniversity of Minnesota and the Geriatric Research Education and Clinical Center at the Minnesota Veteran's Administration Health Care System, USA.
D W FardoSanders-Brown Center on Aging, University of Kentucky, USA.
W LouSanders-Brown Center on Aging, University of Kentucky, USA.
L WanSanders-Brown Center on Aging, University of Kentucky, USA.
F A SchmittSanders-Brown Center on Aging, University of Kentucky, USA.
University of Kentucky · USRush University Medical Center · US

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Suzanne Elizabeth Schindler · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 1985 to 2019
$52.1M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 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 DODGE, HIROKO HAYAMA · 1990 to 2019
$27.7M
University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI SCHMITT, FREDERICK · 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
Epidemiology of Brain Aging in the Very OldU01AG019349 · NIA · KUAKINI MEDICAL CENTER · PI WHITE, LON RAY · 2001 to 2011
$14.0M
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
Epidemiology of Aging and Dementia-Autopsy ResearchU01AG017155 · NIA · KUAKINI MEDICAL CENTER · PI WHITE, LON RAY · 2008 to 2010
$4.1M
Statistical Genetics Methods for Mixed PathologiesK25AG043546 · NIA · UNIVERSITY OF KENTUCKY · PI FARDO, DAVID WILLIAM · 2013 to 2015
$445k
HONOLULU HEART PROGRAMN01HC005102 · HC · KUAKINI MEDICAL CENTER · PI CURB, JESS DAVID · 1990 to 1997
–
NHLBI NIH HHS N01 HC005102NIA NIH HHS K25 AG043546NIA NIH HHS P01 AG003991NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG028383NIA NIH HHS P50 AG005681NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG038651NIA NIH HHS U01 AG017155NIA NIH HHS U01 AG019349United States NIA
6 · The paper itself

Abstract

backgroundCerebral vascular pathology may contribute to cognitive decline experienced by some elderly near death. Given evidence for mixed neuropathologies in advanced age, preventing or reducing cerebrovascular burden in late life may be beneficial.

objectiveTo correlate measures of cerebral vascular pathology with cognitive trajectories.

settingObservational study.

participantsA cohort of 2,274 individuals who came to autopsy at a mean age of 89.3 years and 82 percent of whom had at least two cognitive assessments within the last six years of life was compiled from six centers conducting longitudinal studies. MEASUREMENTS: For each cognitive domain: immediate and delayed memory, language, and naming, three trajectories were examined: good, intermediate, and poor cognition. The probability of a participant belonging to each trajectory was associated with measures of cerebral vascular pathology after adjustment for demographics, APOE, and Alzheimer neuropathology.

resultsA large proportion of the cohort (72-94%) experienced good or intermediate cognition in the four domains examined. The presence of arteriolosclerosis and the presence of lacunar infarcts doubled the odds of belonging to the poor cognitive trajectory for language when compared to the good trajectory. The presence of lacunar infarcts increased the odds of an intermediate or poor trajectory for immediate and delayed recall while the presence of large artery infarcts increased the odds of poor trajectories for all four cognitive domains examined. Microinfarcts and cerebral amyloid angiopathy had little effect on the trajectories.

conclusionIndicators of cerebral vascular pathology act differently on late life cognition.

Indexed as

cerebrovascular risk factorsCognitive trajectorieslate life

Identifiers

PMID27709107
PMCPMC5047285
OpenAlexW2558913239

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.