Evidence map›Paper›PMID 41094499›Full record

ArticleEuropean journal of medical research2025

Associations of carotid flow velocity with cerebral perfusion and cerebral small vessel disease: a community-based prospective study.

Peipei Yang, Xiaoshuai Li, Yuqing Huang, Xinyu Zhao, Ying Hui, Shouling Wu, Zhenchang Wang, Xian-Quan Shi

Abstract read
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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Peipei Yang *Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xiaoshuai Li *Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yuqing HuangDepartment of Ultrasound, Aerospace Center Hospital, Beijing, China.
Xinyu ZhaoClinical Epidemiology and EBM Unit, Beijing Clinical Research Institute, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Ying HuiDepartment of MR, Kailuan General Hospital, Tangshan, Hebei, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China. drwusl@163.com.
Zhenchang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China. cjr.wzhch@vip.163.com.
Xian-Quan ShiDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing, China. sonoshixq@ccmu.edu.cn.

Funding

Beijing Municipal Natural Science Foundation 7232335National Natural Science Foundation of China 82202109
6 · The paper itself

Abstract

objectivesTo explore the associations of carotid artery hemodynamic parameters with cerebral perfusion and cerebral small vessel disease (CSVD) in a healthy population.

methodsA total of 654 participants from the Kailuan community were included after those with incomplete data or carotid stenosis ≥ 50% were excluded. Carotid ultrasound was used to measure the peak carotid flow velocity (PSV), end-diastolic velocity (EDV), resistance index (RI), pulsatility index (PI) and carotid intima-media thickness (IMT) of the common carotid artery (CCA) and internal carotid artery (ICA). MRI was performed to assess cerebral perfusion and CSVD features, including white matter hyperintensities (WMH), lacunes (LA), cerebral microbleeds (CMB), and enlarged perivascular spaces (EPVS). Multivariate regression models were used to analyze the associations of carotid hemodynamics with cerebral perfusion and CSVD.

resultsCCA-EDV was positively associated with whole-brain perfusion (β = 0.14, p = 0.017) and regional perfusion in gray matter (GM) (β = 0.16, p = 0.012), frontal (β = 0.15, p = 0.014), parietal (β = 0.19, p = 0.006), temporal (β = 0.14, p = 0.020), and hippocampus (β = 0.12, p = 0.034), but no significant associations were found between CCA-EDV and white matter (WM) perfusion. A higher CCA-EDV was associated with a lower risk of LA (OR = 0.93, p = 0.029). The CCA-PSV was negatively correlated with the total CSVD score (OR = 0.99, p = 0.047). No significant associations were detected between other carotid hemodynamic parameters and LA, CMB, EPVS, WMH, or total CSVD score.

conclusionsCarotid artery hemodynamic parameters, especially the CCA-EDV, are closely related to cerebral perfusion and the development of CSVD. Reductions in total and regional cerebral perfusion, along with an increased LA burden, were associated with decreased CCA-EDV.

Indexed as

Carotid ArteriesCerebral Small Vessel DiseasesCerebrovascular CirculationAgedBlood Flow VelocityCarotid Intima-Media ThicknessFemaleHemodynamicsHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesCarotid hemodynamicsCerebral perfusionCerebral small vessel disease (CSVD)End-diastolic velocity (EDV)

Identifiers

PMID41094499
PMCPMC12522649

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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.