Evidence mapPaperPMID 39746341Full record

ArticleCerebrovascular diseases extra2025

Correlation between Neuroimaging Scores and Carotid Artery Ultrasound Features in Cerebral Small Vessel Disease Patients.

Yun Xu, Yifan Song, Tieqi Tang, Weili Jia, Huijuan Xu, Yu Li, Yu Guo, Xiaorui Wang, Ruihong Liu

Abstract read
In one paragraph

Article in Cerebrovascular diseases extra, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yun XuDepartment of Ultrasonography, Electric Power Teaching Hospital, Capital Medical University, Beijing, China.
Yifan SongDepartment of Ultrasonography, Electric Power Teaching Hospital, Capital Medical University, Beijing, China.
Tieqi TangDepartment of Ultrasonography, Electric Power Teaching Hospital, Capital Medical University, Beijing, China.
Weili JiaDepartment of Neurology, Electric Power Teaching Hospital, Capital Medical University, Beijing, China.
Huijuan XuDepartment of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yu LiDepartment of Ultrasonography, Electric Power Teaching Hospital, Capital Medical University, Beijing, China.
Yu GuoDepartment of Radiology, Electric Power Teaching Hospital, Capital Medical University, Beijing, China.
Xiaorui WangDepartment of Radiology, Electric Power Teaching Hospital, Capital Medical University, Beijing, China.
Ruihong LiuDepartment of Ultrasonography, Electric Power Teaching Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe recently proposed cerebral small vessel disease (CSVD) score system may help capture the overall burden of CSVD. This study aimed to investigate the associations between carotid artery ultrasound features and the burden score and cognitive performance of CSVD patients.

methodsThis is a cross-sectional analysis of an ongoing prospective study. From May 2019 to October 2023, 287 patients with at least one neuroimaging marker of CSVD were recruited and underwent carotid ultrasound examination, brain magnetic resonance imaging (MRI) scans, and neuropsychological assessment. Carotid artery properties, including carotid plaque, intima-media thickness (IMT), β stiffness index (β-index), Peterson's elastic modulus (PEM), and pulse wave velocity-β (PWV-β), were calculated. The CSVD score was graded according to MRI evaluation. Participants were classified as having cognitive impairment (CI) or normal cognitive function (NCF) according to Montreal Cognitive Assessment (MoCA) scale.

resultsA total of 209 eligible patients were included in the final analysis. A significant difference was revealed regarding the CSVD score between CI and NCF participants (p < 0.001). After adjusted for covariates, increased IMT (OR = 1.11, 95% CI: 1.04-1.37, p = 0.030) and PWV-β (OR = 1.24, 95% CI: 1.09-1.51, p = 0.006) were both associated with the presence of CI. IMT and PWV-β were also associated with worse performance on attention and processing speed (IMT: β = -0.13, p = 0.011; PWV-β: β = -0.21, p = 0.011), and executive function (IMT: β = -0.20, p = 0.024; PWV-β: β = -0.33, p = 0.008). Additionally, PEM was negatively associated with executive function (β = -0.20, p = 0.009). Furthermore, binary logistic regression indicated that IMT (OR = 1.45, 95% CI: 1.18-2.01, p = 0.006), β-index (OR = 1.30, 95% CI: 1.10-1.64, p = 0.008) and PWV-β (OR = 1.23, 95% CI: 1.01-1.89, p = 0.047) were independently related to a moderate to severe CSVD burden score.

conclusionsCarotid artery atherosclerosis and stiffness are associated with the burden score and cognitive performance of CSVD patients. Noninvasive ultrasound parameters of the carotid artery are capable of discriminating high-risk individuals with CSVD.

Indexed as

Carotid ArteriesCarotid Artery DiseasesCarotid Intima-Media ThicknessCerebral Small Vessel DiseasesCognitionCognitive DysfunctionNeuroimagingAgedCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMental Status and Dementia TestsMiddle AgedPredictive Value of TestsCarotid arteriesCarotid ultrasoundCerebral small vessel disease scoreCognition

Identifiers

PMID39746341
PMCPMC11842097

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.