Evidence map›Paper›PMID 30003030›Full record

ArticleNeuroImage. Clinical2018

Identifying preclinical vascular dementia in symptomatic small vessel disease using MRI.

Christian Lambert, Eva Zeestraten, Owen Williams, Philip Benjamin, Andrew J Lawrence, Robin G Morris, Andrew D Mackinnon, Thomas R Barrick, Hugh S Markus

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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  17. Influence of Mild White Matter Lesions on Voxel-based Morphometry.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021
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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 at 5 institutions in 1 country.

Christian LambertWellcome Centre for Human Neuroimaging, 12 Queen Square, WC1N 3BG London, UK; Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, SW17 0RE, UK. Electronic address: christian.lambert@ucl.ac.uk.
Eva ZeestratenNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, SW17 0RE, UK.
Owen WilliamsNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, SW17 0RE, UK.
Philip BenjaminNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, SW17 0RE, UK.
Andrew J LawrenceStroke Research Group, Clinical Neurosciences, University of Cambridge, CB2 0QQ, UK.
Robin G MorrisDepartment of Psychology, King's College Institute of Psychiatry, Psychology, and Neuroscience, London, UK.
Andrew D MackinnonSt George's NHS Healthcare Trust, Atkinson Morley Regional Neuroscience Centre, London, UK.
Thomas R BarrickNeurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, SW17 0RE, UK.
Hugh S MarkusStroke Research Group, Clinical Neurosciences, University of Cambridge, CB2 0QQ, UK.
St George's, University of London · GBUniversity of Cambridge · GBKing's College London · GBSouth West London and St George's Mental Health NHS Trust · GBWellcome Centre for Human Neuroimaging · GB

Funding

Medical Research Council MR/R006504/1Wellcome Trust 081589
6 · The paper itself

Abstract

Sporadic cerebral small vessel disease is an important cause of vascular dementia, a syndrome of cognitive impairment together with vascular brain damage. At post-mortem pure vascular dementia is rare, with evidence of co-existing Alzheimer's disease pathology in 95% of cases. This work used MRI to characterize structural abnormalities during the preclinical phase of vascular dementia in symptomatic small vessel disease. 121 subjects were recruited into the St George's Cognition and Neuroimaging in Stroke study and followed up longitudinally for five years. Over this period 22 individuals converted to dementia. Using voxel-based morphometry, we found structural abnormalities present at baseline in those with preclinical dementia, with reduced grey matter density in the left striatum and hippocampus, and more white matter hyperintensities in the frontal white-matter. The lacunar data revealed that some of these abnormalities may be due to lesions within the striatum and centrum semiovale. Using support vector machines, future dementia could be best predicted using hippocampal and striatal Jacobian determinant data, achieving a balanced classification accuracy of 73%. Using cluster ward linkage we identified four anatomical subtypes. Successful predictions were restricted to groups with lower levels of vascular damage. The subgroup that could not be predicted were younger, further from conversion, had the highest levels of vascular damage, with milder cognitive impairment at baseline but more rapid deterioration in processing speed and executive function, consistent with a primary vascular dementia. In contrast, the remaining groups had decreasing levels of vascular damage and increasing memory impairment consistent with progressively more Alzheimer's-like pathology. Voxel-wise rates of hippocampal atrophy supported these distinctions, with the vascular group closely resembling the non-dementing cohort, whereas the Alzheimer's like group demonstrated global hippocampal atrophy. This work reveals distinct anatomical endophenotypes in preclinical vascular dementia, forming a spectrum between vascular and Alzheimer's like pathology. The latter group can be identified using baseline MRI, with 73% converting within 5 years. It was not possible to predict the vascular dominant dementia subgroup, however 19% of negative predictions with high levels of vascular disease would ultimately develop dementia. It may be that techniques more sensitive to white matter damage, such as diffusion weighted imaging, may prove more useful for this vascular dominant subgroup in the future. This work provides a way to accurately stratify patients using a baseline MRI scan, and has utility in future clinical trials designed to slow or prevent the onset of dementia in these high-risk cohorts.

Indexed as

AgedAged, 80 and overBrainCerebral Small Vessel DiseasesDementia, VascularEarly DiagnosisFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingNeuropsychological TestsWhite MatterCerebral small vessel diseasePreclinical dementiaStructural MRIVascular dementiaVoxel-based morphometry

Identifiers

PMID30003030
PMCPMC6039843
OpenAlexW2809500283

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.