Evidence map›Paper›PMID 27391477›Full record

ArticleAlzheimer's research & therapy2015

Elevated cerebrovascular resistance index is associated with cognitive dysfunction in the very-old.

Lindsay R Clark, Daniel A Nation, Christina E Wierenga, Katherine J Bangen, Sheena I Dev, David D Shin, Lisa Delano-Wood, Thomas T Liu, Robert A Rissman, Mark W Bondi

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  7. Cerebrovascular adaptations to habitual resistance exercise with aging.American journal of physiology. Heart and circulatory physiology · 2024
    Review
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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

10 authors at 5 institutions in 1 country.

Lindsay R ClarkSan Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA. lrclark@medicine.wisc.edu.
Daniel A NationDepartment of Psychology, University of Southern California, Los Angeles, CA, USA.
Christina E WierengaDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Katherine J BangenDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Sheena I DevSan Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
David D ShinCenter for Functional MRI, University of California San Diego, San Diego, CA, USA.
Lisa Delano-WoodDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Thomas T LiuCenter for Functional MRI, University of California San Diego, San Diego, CA, USA.
Robert A RissmanDepartment of Neurosciences, University of California San Diego, San Diego, CA, USA.
Mark W BondiDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA. mbondi@ucsd.edu.
University of California, San Diego · USSan Diego State University · USUniversity of Southern California · USUniversity of Wisconsin–Madison · USVA San Diego Healthcare System · US

Funding

FELLOWSHIP IN GERIATRIC MENTAL HEALTHT32MH019934 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Elizabeth W Twamley · 1994 to 2026
$9.5M
Cognitive Abilities of At-Risk Elderly for DementiaR01AG012674 · NIA · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI BONDI, MARK W · 2001 to 2012
$2.7M
Federated Database, Protocols, and Tools for Arterial Spin Labeling CBF MeasuresR01MH084796 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LIU, THOMAS T · 2009 to 2013
$1.9M
Neuroimaging and Risk Factor Correlates in Aging and MCIK24AG026431 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BONDI, MARK W · 2007 to 2016
$1.7M
NIA NIH HHS K24 AG026431NIA NIH HHS R01 AG012674NIMH NIH HHS R01 MH084796NIMH NIH HHS T32 MH019934
6 · The paper itself

Abstract

introductionAge-related vascular changes, including blood pressure elevation and cerebral blood flow (CBF) reduction, are associated with cognitive decline and Alzheimer's disease (AD). Evidence suggests that the relationship between blood pressure and dementia risk varies between younger and older samples within the elderly population.

methodsWe examined the relationship between mean arterial pressure (MAP), CBF, and cognition in young-old (60 to 75 years of age) versus very-old (80+ years of age) adults. Fifty-eight non-demented older adults completed an arterial spin labeling MRI scan, and an index of cerebrovascular resistance (CVRi) was estimated for each participant by calculating the ratio of MAP and CBF.

resultsResults demonstrated a similar negative relationship between MAP and CBF across both age groups. However, very-old participants exhibited elevated CVRi and reduced CBF compared to young-old participants in regions implicated in AD and cerebral small vessel disease. Furthermore, significant age by CVRi interactions revealed that elevated CVRi in the thalamus was inversely related to verbal fluency performance in the very-old group.

conclusionsFindings support CVRi as a potential vascular biomarker and suggest that regionally-specific vascular changes may contribute to cognitive decline, particularly in the very-old.

Indexed as

AgedAged, 80 and overAgingArterial PressureBrainCerebrovascular CirculationCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSpin LabelsVascular ResistanceSpin Labels

Identifiers

PMID27391477
PMCPMC4942967
OpenAlexW2123468959

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.