Evidence map›Paper›PMID 29155435›Full record

ArticleJournal of the American Geriatrics Society2018

Periventricular White Matter Hyperintensities and Functional Decline.

Mandip S Dhamoon, Ying-Kuen Cheung, Ahmet Bagci, Noam Alperin, Ralph L Sacco, Mitchell S V Elkind, Clinton B Wright

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Trial
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  4. IncreasedGeroScience · 2025
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  13. Cholinergic White Matter Lesions, AD-Signature Cortical Thickness, and Change in Cognition: The Northern Manhattan Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  14. Article
  15. Article
  16. 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

7 authors.

Mandip S DhamoonDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York.
Ying-Kuen CheungDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York.
Ahmet BagciEvelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, Florida.
Noam AlperinEvelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, Florida.
Ralph L SaccoEvelyn F. McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, Florida.
Mitchell S V ElkindDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Clinton B WrightNational Institute of Neurological Disorders and Stroke, Bethesda, Maryland.

Funding

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
Inflammatory and Infectious Burden and Risk of StrokeR01NS048134 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ELKIND, MITCHELL S · 2004 to 2008
$1.5M
The trajectory of functional status and quality of life before and after strokeK23NS079422 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DHAMOON, MANDIP SINGH · 2013 to 2017
$917k
NINDS NIH HHS K23 NS079422NINDS NIH HHS R01 NS029993NINDS NIH HHS R01 NS048134
6 · The paper itself

Abstract

BACKGROUND/

objectivesWe previously showed that global brain white matter hyperintensity volume (WMHV) was associated with accelerated long-term functional decline. The objective of the current study was to determine whether WMHV in particular brain regions is more predictive of functional decline.

designProspective population-based study.

settingNorthern Manhattan magnetic resonance imaging (MRI) study.

participantsIndividuals free of stroke at baseline (N = 1,195; mean age 71 ± 9; n = 460 (39%) male). MEASUREMENTS: Participants had brain MRI with axial T1, T2, and fluid attenuated inversion recovery sequences. Volumetric WMHV distribution across 14 brain regions (brainstem; cerebellum; bilateral frontal, occipital, temporal, and parietal lobes; and bilateral anterior and posterior periventricular white matter (PVWM)) was determined using a combination of bimodal image intensity distribution and atlas-based methods. Participants had annual functional assessments using the Barthel Index (BI) (range 0-100) over a mean of 7.3 years and were followed for stroke, myocardial infarction (MI), and mortality. Because there were multiple collinear variables, least absolute shrinkage and selection operator (LASSO) regression-selected regional WMHV variables most associated with outcomes and adjusted generalized estimating equations models were used to estimate associations with baseline BI and change over time.

resultsUsing LASSO regularization, only right anterior PVWM was found to meet criteria for selection, and each standard deviation greater WMHV was associated with accelerated functional decline of 0.95 additional BI points per year (95% confidence interval (CI) = -1.20 to -0.70) in an unadjusted model, -0.92 points per year (95% CI = -1.18 to -0.67) with baseline covariate adjustment, and -0.87 points per year (95% CI = -1.12 to -0.62) after adjusting for incident stroke and MI.

conclusionIn this large population-based study with long-term repeated measures of function, periventricular WMHV was particularly associated with accelerated functional decline.

Indexed as

Activities of Daily LivingAgedAged, 80 and overBrainBrief Psychiatric Rating ScaleFemaleHumansLeukoaraiosisMagnetic Resonance ImagingMaleMiddle AgedMyocardial InfarctionProspective StudiesRisk FactorsStrokeWhite MatterdisabilityMRIwhite matter disease

Identifiers

PMID29155435
PMCPMC5777880

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.