Evidence map›Paper›PMID 40847463›Full record

ArticleBrain and behavior2025

Association Between Platelet and Cerebral Small Vessel Disease: A Secondary Analysis Based on a Retrospective Cross-Sectional Study in Korean Adults.

Shujuan Huang, Hanbo Chen, Linbo Cai, Zhaoxi Liu, Zhanbo Yu, Yuqin Dan, Danghan Xu, Yunxuan Huang

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Platelet count polygenic scores may modify the effect of aspirin in primary prevention of dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Trial
  2. Article
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

8 authors.

Shujuan HuangDepartment of Rehabilitation, Guang Dong Sanjiu Brain Hospital, Guangzhou, China.
Hanbo ChenDepartment of Rehabilitation, Guang Dong Sanjiu Brain Hospital, Guangzhou, China.
Linbo CaiDepartment of Rehabilitation, Guang Dong Sanjiu Brain Hospital, Guangzhou, China.
Zhaoxi LiuOncology Department, The Affiliated Traditional Chinese Medicine Hospital of Guangzhou Medical University, Guangzhou, China.
Zhanbo YuGeneral Medicine Department, Ruibao Street Community Health Service Center, Guangzhou, China.
Yuqin DanSchool of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Danghan XuAcupuncture Department, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-9491-5815
Yunxuan HuangAcupuncture Department, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to explore an association between platelet count and moderate to severe cerebral white matter hyperintensities (MS-cWMH), a key imaging marker of cerebral small vessel disease (CSVD), in individuals with cardiovascular risk factors, hypothesizing that higher platelet counts are associated with increased CSVD severity.

methodsA retrospective cross-sectional study analyzed data from 1,011 participants aged ≥45 years at CHA Bundang Medical Center in Seoul, Korea, between 2008 and 2014. Participants were selected based on predefined criteria, including cardiovascular risk factors (e.g., hypertension, hyperlipidemia, smoking) and no history of stroke, and underwent brain MRI and MRA as part of the study protocol. Magnetic resonance angiography (MRA) was performed to exclude participants with large vessel disease, such as intracranial or extracranial arterial stenosis. A multivariable logistic regression model was constructed to assess the association between platelet count and MS-cWMH, incrementally adjusting for demographic characteristics, cardiovascular risk factors, and imaging features.

resultsThe study revealed a significant association between platelet count and MS-cWMH. Each increase of 100×10^9/L in platelet count was associated with a 1.37-fold increase in the risk of MS-cWMH (95% CI: 1.06-1.77, p = 0.0168). The association was more pronounced in females, elderly individuals aged 68-85 years, and patients with diabetes and remained robust in multiple sensitivity analyses.

conclusionHigher platelet counts are significantly associated with an increased risk of MS-cWMH, particularly in specific high-risk populations such as females, elderly individuals aged 68-85 years, and patients with diabetes. Platelet count may serve as a potential biomarker for assessing the risk of CSVD, aiding in the early identification of high-risk individuals for preventive interventions. This finding highlights the potential clinical significance of monitoring platelet counts in high-risk populations. Strategies to reduce high platelet counts, such as antiplatelet therapy (e.g., clopidogrel, aspirin) or lifestyle interventions (e.g., diet and exercise), may help mitigate the risk of MS-cWMH. Further longitudinal studies are needed to evaluate the effectiveness of these interventions in reducing MS-cWMH risk. Additionally, future research should investigate the biological mechanisms linking platelet count to CSVD, particularly the roles of platelet activation, inflammation, and endothelial dysfunction, to provide a more comprehensive understanding of this association.

Indexed as

Cerebral Small Vessel DiseasesAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingMaleMiddle AgedPlatelet CountRepublic of KoreaRetrospective StudiesRisk FactorsWhite Mattercerebral small vessel diseasecross‐sectional studyKorean adultsmoderate to severe cerebral white matter hyperintensitiesplatelet count

Identifiers

PMID40847463
PMCPMC12373706

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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.