Evidence map›Paper›PMID 41934293›Full record

ReviewInternational journal of stroke : official journal of the International Stroke Society2026

Global burden of cerebral small vessel disease determined from large MRI studies: A systematic review and meta-analysis.

Bonnie Yin Ka Lam, Yuan Cai, Huijing Zheng, Jize Wei, Rufus Akinyemi, Geert Jan Biessels, Hilde van den Brink, Christopher Chen, Marco Duering, Deborah Gustafson and 17 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of stroke : official journal of the International Stroke Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

27 authors.

Bonnie Yin Ka LamDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0002-1656-2433
Yuan CaiDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0002-7551-2866
Huijing ZhengDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.
Jize WeiDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.
Rufus AkinyemiNeuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria.ORCID 0000-0001-5286-428X
Geert Jan BiesselsDepartment of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0001-6862-2496
Hilde van den BrinkJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Christopher ChenMemory Aging and Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Marco DueringDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0003-2302-3136
Deborah GustafsonSection for NeuroEpidemiology, Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, USA.ORCID 0000-0001-9556-8560
Saima HilalJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Vincent Ming Ho HuiDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.
Rajesh KalariaTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
SangYun KimDepartment of Neurology, Seoul National University College of Medicine and Clinical Neuroscience Center, Seoul National University Bundang Hospital, Seoul, South Korea.
Maggie Li Man LamDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.
Frank-Erik de LeeuwDepartment of Neurology, Donders Institute for Brain Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands.
Ami Sin Man LiDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0001-6723-5144
Hugh S MarkusStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Anna MarsegliaDivision of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
John O'BrienDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Leonardo PantoniDepartment of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.ORCID 0000-0001-7357-8530
Perminder S SachdevCentre for Healthy Brain Ageing and School of Clinical Medicine, The University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-9595-3220
Eric E SmithDivision of Neurology, Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.ORCID 0000-0003-3956-1668
Joanna M WardlawCentre for Clinical Brain Sciences, Edinburgh Imaging, Institute of Neuroscience and Cardiovascular Research, and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-9812-6642
Adrian WongDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.
Ho KoDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.
Vincent Chung Tong MokDivision of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerebral small vessel disease (SVD) is a major cause of ischemic stroke, intracerebral hemorrhage, and dementia. Despite its importance, there are few studies of its prevalence and how cerebral SVD varies across the world, different age ranges, sexes, and magnetic resonance imaging (MRI) parameters. SVD can be estimated using MRI neuroimaging markers, including white matter hyperintensities (WMHs), lacunes, cerebral microbleeds (CMBs), and perivascular spaces (PVS).

aimsThis study aimed to document the global prevalence of SVD based on population-based or large community-based MRI studies and to determine how SVD prevalence varies by region, mean age, and sex. With SVD neuroimaging markers being the standard to assess SVD prevalence, we aimed to investigate how different MRI acquisition parameters may influence its prevalence. SUMMARY OF REVIEW: In this systematic review and meta-analysis, articles were searched from the Ovid MEDLINE and EMBASE databases between 1 January 2000 and 31 March 2024, without language restrictions. Title and abstract screening, full-text review, and data extraction were performed by at least two independent reviewers. The prevalence of SVD, subject demographic information, and MRI acquisition parameters were extracted. The Risk of Bias for Non-randomized Studies tool was used. The protocol was registered on PROSPERO (CRD42022311133). Of 14,582 studies identified, 246 studies spanning 40 countries were included in the systematic review. In the meta-analysis, 85 studies (88 cohorts) from 17 regions (n = 1,562,765) were included. The quality of studies was high (mean score 7.67 out of 8, ranging between 5 and 8). The pooled prevalence of moderate-to-severe WMH was 18.9%, and the pooled mean of WMH volume was 4.4 mL. Pooled prevalences of lacunes, cerebral microbleeds (CMBs), and moderate-to-severe perivascular spaces (PVS) were 11.2%, 10.3%, and 22.6%, respectively. A lower lacune prevalence (7.3% vs 13.3%; adjusted OR (aOR) [95% confidence interval (CI)]: 0.45 [0.30-0.68]) but higher PVS prevalence (30.9% vs 19.6%; aOR [95% CI]: 12.15 [2.12-69.46]) was found in Europe compared with Asia. A higher mean age of the studies was associated with a higher prevalence of most SVD markers, except for PVS. There was an overall trend of more lacunes and CMBs in males. MRI field strength, sequence used, and slice thickness could potentially influence the reported SVD prevalence, especially for WMH volume and CMB count. There was high heterogeneity in the studies (>95%) that was not resolved by performing analyses stratified by Global Burden of Disease (GBD) regions, age groups, study design, or MRI parameters.

conclusionThis systematic review and meta-analysis based on large MRI studies demonstrated that SVD is a common health problem affecting about one-fifth of the adult population. SVD prevalence differs in regions separated by geographical regions. SVD prevalence is higher with increasing age. There is an overall trend of more lacunes and CMBs in males. WMH volume and CMB are SVD markers prone to the variability of MRI acquisition parameters, and a harmonised SVD scanning protocol should be used. More studies from middle- and low-income regions would benefit the estimation of a truly global prevalence of SVD.

Indexed as

cerebral microbleedCerebral small vessel diseaselacunesmeta-analysisperivascular spaceprevalencewhite matter hyperintensities

Identifiers

What OpenQuestion holds

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Registered trials

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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.