Evidence map›Paper›PMID 29513153›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2019

Biomarkers identify the Binswanger type of vascular cognitive impairment.

Erik Barry Erhardt, John C Pesko, Jillian Prestopnik, Jeffrey Thompson, Arvind Caprihan, Gary A Rosenberg

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  3. Article
  4. Review
  5. Review
  6. Vascular Cognitive Impairment and Dementia.Continuum (Minneapolis, Minn.) · 2022
    Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Matrix metalloproteinases and ADAMs in stroke.Cellular and molecular life sciences : CMLS · 2019
    Review
  16. Vascular Cognitive Impairment and Dementia: JACC Scientific Expert Panel.Journal of the American College of Cardiology · 2019 · on this map
    Review
  17. Review
  18. 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

6 authors at 2 institutions in 1 country.

Erik Barry Erhardt1 Departments of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, USA.
John C Pesko1 Departments of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, USA.
Jillian Prestopnik3 Department of Neurology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Jeffrey Thompson3 Department of Neurology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Arvind Caprihan2 MIND Research Network, Albuquerque, NM, USA.
Gary A Rosenberg3 Department of Neurology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
University of New Mexico · USMind Research Network · US

Funding

University of New Mexico Clinical and Translational Science CenterUL1TR000041 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI LARSON, RICHARD S · 2012 to 2014
$9.8M
Validation of Biomarkers of Small Vessel Injury in VCIDUF1NS100598 · NINDS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ROSENBERG, GARY ALLEN · 2021 to 2023
$6.3M
Pathobiology of Vascular Cognitive ImpairmentR01NS052305 · NINDS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI ROSENBERG, GARY ALLEN · 2006 to 2016
$4.3M
NCATS NIH HHS UL1 TR000041NINDS NIH HHS R01 NS052305NINDS NIH HHS UF1 NS100598
6 · The paper itself

Abstract

Binswanger's disease is a form of subcortical ischemic vascular disease (SIVD-BD) with extensive white matter changes. To test the hypothesis that biomarkers could improve classification of SIVD-BD, we recruited 62 vascular cognitive impairment and dementia (VCID) patients. Multimodal biomarkers were collected at entry into the study based on clinical and neuropsychological testing, multimodal magnetic resonance imaging (MRI), and cerebrospinal fluid (CSF) analysis. The patients' diagnoses were confirmed by long-term follow-up, and they formed a "training set" to test classification methods, including (1) subcortical ischemic vascular disease score (SIVDS), (2) exploratory factor analysis (EFA), (3) logistic regression (LR), and (4) random forest (RF). A subsequently recruited cohort of 43 VCID patients with provisional diagnoses were used as a "test" set to calculate the probability of SIVD-BD based on biomarkers obtained at entry. We found that N-acetylaspartate (NAA) on proton magnetic resonance spectroscopy (

Indexed as

AgedAspartic AcidBiomarkersBlood-Brain BarrierCapillary PermeabilityDementia, VascularFemaleHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleMatrix Metalloproteinase 2Middle AgedAspartic AcidBiomarkersMatrix Metalloproteinase 2MMP2 protein, humanN-acetylaspartateBinswanger’s diseasebiomarkersrandom forestsvascular cognitive impairment and dementiawhite matter hyperintensities

Identifiers

PMID29513153
PMCPMC6681525
OpenAlexW2792066606

What OpenQuestion holds

Textmetadata
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.