Evidence map›Paper›PMID 42282029›Full record

ArticleResearch square2026

White matter hyperintensities, cognitive decline and dementia risk in a community- dwelling cohort of northern Manhattan.

Brenno Barreto, Huaizhi Ge, Mohammad Nafeli, Vanessa Guzman, Bonnie Levin, Stephanie Assuras, Janet De Rosa, Clinton Wright, Mitchell Sv Elkind, Tatjana Rundek and 1 more

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Brenno BarretoIcahn School of Medicine at Mount Sinai.
Huaizhi GeColumbia University.
Mohammad NafeliUniversity of Miami Miller School of Medicine.
Vanessa GuzmanIcahn School of Medicine at Mount Sinai.
Bonnie LevinUniversity of Miami Miller School of Medicine.
Stephanie AssurasColumbia University Irving Medical Center.
Janet De RosaColumbia University.
Clinton WrightNational Institutes of Health.
Mitchell Sv ElkindColumbia University.
Tatjana RundekUniversity of Miami Miller School of Medicine.
Jose GutierrezUniversity of Miami Miller School of Medicine.

Funding

Stroke Incidence and Risk Factors in a Tri-Ethnic RegionR37NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 2008 to 2014
$12.1M
NINDS NIH HHS R37 NS029993
6 · The paper itself

Abstract

introductionWhite matter hyperintensities (WMH) are common markers of cerebral small vessel disease, but the cognitive impact of their regional distribution is not well understood.

methodsWe analyzed brain MRI and neuropsychological data from 1,290 stroke-free participants in the Northern Manhattan Study. WMH volumes were quantified by vascular territory, and associations with cognitive performance and dementia risk were evaluated.

resultsHigher anterior circulation WMH volume was associated with lower global cognition and poorer episodic memory, semantic memory, and processing speed at baseline and follow-up. Posterior circulation WMH predicted greater decline in executive function. Total WMH and anterior WMH volumes were associated with increased dementia risk. DISCUSSION: Total and regional WMH volumes can provide important information about cognitive outcomes and dementia risk, helping to understand which patients may have higher risk of worse cognitive outcomes. Then, tailored strategies can be used to individualize patient care and preserve overall brain health.

Indexed as

AgingCerebral small vessel diseaseCognitionDementiaWhite matter hyperintensities

Identifiers

PMID42282029
PMCPMC13252580

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.