Evidence map›Paper›PMID 31699021›Full record

ArticleStroke2020

Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline.

Hanna Jokinen, Juha Koikkalainen, Hanna M Laakso, Susanna Melkas, Tuomas Nieminen, Antti Brander, Antti Korvenoja, Daniel Rueckert, Frederik Barkhof, Philip Scheltens and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stroke, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 3 pooled it
–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

112 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Sporadic cerebral small vessel disease and cognitive decline in healthy older adults: A systematic review and meta-analysis.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Pooled it
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  12. The enigma of vascular dementia: current state and emerging perspectives.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
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52 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Hanna JokinenFrom the Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital (H.J., H.M.L., S. Melkas, T.E.), Finland.
Juha KoikkalainenCombinostics, Ltd, Finland (J.K., T.N., J.L.).
Hanna M LaaksoFrom the Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital (H.J., H.M.L., S. Melkas, T.E.), Finland.
Susanna MelkasFrom the Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital (H.J., H.M.L., S. Melkas, T.E.), Finland.
Tuomas NieminenCombinostics, Ltd, Finland (J.K., T.N., J.L.).
Antti BranderDepartment of Radiology, Medical Imaging Center, Tampere University Hospital, Finland (A.B.).
Antti KorvenojaMedical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital (A.K.), Finland.
Daniel RueckertBiomedical Image Analysis Group, Department of Computing, Imperial College London, United Kingdom (D.R.).
Frederik BarkhofDepartment of Radiology and Nuclear Medicine (F.B.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands.
Philip ScheltensAlzheimer Center and Department of Neurology (P.S.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands.
Reinhold SchmidtDepartment of Neurology, Medical University of Graz, Austria (R.S., F.F.).
Franz FazekasDepartment of Neurology, Medical University of Graz, Austria (R.S., F.F.).
Sofia MadureiraDepartment of Neurosciences, Santa Maria Hospital, University of Lisbon, Portugal (S. Madureira, A.V.).
Ana VerdelhoDepartment of Neurosciences, Santa Maria Hospital, University of Lisbon, Portugal (S. Madureira, A.V.).
Anders WallinSahlgrenska Academy, Institute of Neuroscience and Physiology, Section for Psychiatry and Neurochemistry, University of Gothenburg, Sweden (A.W.).
Lars-Olof WahlundDepartment of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Sweden (L.-O.W.).
Gunhild WaldemarDepartment of Neurology, Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Denmark (G.W.).
Hugues ChabriatDepartment of Neurology, Hopital Lariboisiere, APHP and INSERM U1161-University Denis Diderot (DHU NeuroVasc), France (H.C.).
Michael HennericiMedical Faculty Mannheim, University of Heidelberg, Germany (M.H.).
John O'BrienDepartment of Psychiatry, University of Cambridge, United Kingdom (J.O.).
Domenico InzitariInstitute of Neuroscience, Italian National Research Council (D.I.).
Jyrki LötjönenCombinostics, Ltd, Finland (J.K., T.N., J.L.).
Leonardo PantoniL. Sacco Department of Biomedical and Clinical Sciences, University of Milan, Italy (L.P.).
Timo ErkinjunttiFrom the Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital (H.J., H.M.L., S. Melkas, T.E.), Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose- Cerebral small vessel disease is characterized by a wide range of focal and global brain changes. We used a magnetic resonance imaging segmentation tool to quantify multiple types of small vessel disease-related brain changes and examined their individual and combined predictive value on cognitive and functional abilities. Methods- Magnetic resonance imaging scans of 560 older individuals from LADIS (Leukoaraiosis and Disability Study) were analyzed using automated atlas- and convolutional neural network-based segmentation methods yielding volumetric measures of white matter hyperintensities, lacunes, enlarged perivascular spaces, chronic cortical infarcts, and global and regional brain atrophy. The subjects were followed up with annual neuropsychological examinations for 3 years and evaluation of instrumental activities of daily living for 7 years. Results- The strongest predictors of cognitive performance and functional outcome over time were the total volumes of white matter hyperintensities, gray matter, and hippocampi (

Indexed as

BrainCerebral Small Vessel DiseasesCognitive DysfunctionCost of IllnessMagnetic Resonance ImagingAgedAged, 80 and overCognitionFemaleHumansMalePredictive Value of Testsbraincerebral small vessel diseaseshumansimage processing, computer assistedneuropsychology

Identifiers

PMID31699021
PMCPMC6924941

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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.