Evidence map›Paper›PMID 31944231›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Cholinergic White Matter Lesions, AD-Signature Cortical Thickness, and Change in Cognition: The Northern Manhattan Study.

Michelle R Caunca, Karen Siedlecki, Ying Kuen Cheung, Noam Alperin, Sang H Lee, Mitchell S V Elkind, Ralph L Sacco, Clinton B Wright, Tatjana Rundek

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Sporadic cerebral small vessel disease and cognitive decline in healthy older adults: A systematic review and meta-analysis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Pooled it
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  9. Vascular Cognitive Impairment (VCI).Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    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

9 authors.

Michelle R CauncaDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, Florida.
Karen SiedleckiDepartment of Psychology, Fordham University, New York, New York.
Ying Kuen CheungDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.
Noam AlperinEvelyn F. McKnight Brain Institute, University of Miami, Miami, Florida.
Sang H LeeEvelyn F. McKnight Brain Institute, University of Miami, Miami, Florida.
Mitchell S V ElkindDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Ralph L SaccoDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, Florida.
Clinton B WrightNational Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, Maryland.
Tatjana RundekDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, Florida.

Funding

Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
STROKE INCIDENCE AND RISK FACTORS IN A TRI-ETHNIC REGIONR01NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 1993 to 2019
$19.2M
Effects of White and Gray Matter Integrity on Cognition in A Multi-Ethnic CohortF30NS103462 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CAUNCA, MICHELLE RAE · 2017 to 2020
$199k
NCATS NIH HHS UL1 TR002736NINDS NIH HHS F30 NS103462
6 · The paper itself

Abstract

backgroundHow cerebrovascular disease and neurodegeneration affect each other to impact cognition is not yet known. We aimed to test whether Alzheimer's disease-signature (AD) cortical thickness mediates the association between cholinergic white matter lesion load and change in domain-specific cognition.

methodsClinically stroke-free participants from the Northern Manhattan Study with both regional white matter hyperintensity volume (WMHV) and gray matter measurements were included (N = 894). Tract-specific WMHVs were quantified through FSL using the Johns Hopkins University white matter tract atlas. We used Freesurfer 5.1 to estimate regional cortical thickness. We fit structural equation models, including multiple indicator latent change score models, to examine associations between white matter hyperintensity volume (WMHV) in cholinergic tracts, AD-signature region cortical thickness (CT), and domain-specific cognition.

resultsOur sample (N = 894) had a mean (SD) age = 70 (9) years, years of education = 10 (5), 63% women, and 67% Hispanics/Latinos. Greater cholinergic WMHV was significantly related to worse processing speed at baseline (standardized β = -0.17, SE = 0.05, p = .001) and over time (standardized β = -0.28, SE = 0.09, p = .003), with a significant indirect effect of AD-signature region CT (baseline: standardized β = -0.02, SE = 0.01, p = .023; change: standardized β = -0.03, SE = 0.02, p = .040).

conclusionsCholinergic tract WMHV is associated with worse processing speed, both directly and indirectly through its effect on AD-signature region CT.

Indexed as

Brain Cortical ThicknessCognitionAgedCerebral CortexCohort StudiesExecutive FunctionFemaleGray MatterHumansMagnetic Resonance ImagingMaleMemory, EpisodicNeuropsychological TestsNew York CityWhite MatterBiomarkersCognitive agingEpidemiologyImaging

Identifiers

PMID31944231
PMCPMC7457185

What OpenQuestion holds

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Registered trials

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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.