Evidence map›Paper›PMID 28127514›Full record

ArticleBrain and behavior2017

Interhemispheric characterization of small vessel disease imaging markers after subcortical infarct.

Maria Del C Valdés Hernández, Xinyi Qiu, Xin Wang, Stewart Wiseman, Eleni Sakka, Lucy C Maconick, Fergus Doubal, Cathie L M Sudlow, Joanna M Wardlaw

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Roles of Microglia in Cerebral Small Vessel Disease.CNS neuroscience & therapeutics · 2026
    Review
  2. Article
  3. Article
  4. Understanding the Pathophysiology of Cerebral Amyloid Angiopathy.International journal of molecular sciences · 2020
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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 at 2 institutions in 1 country.

Maria Del C Valdés HernándezDepartment of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK.ORCID 0000-0003-2771-6546
Xinyi QiuCollege of Medicine and Veterinary Medicine University of Edinburgh Edinburgh UK.
Xin WangDepartment of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK.
Stewart WisemanDepartment of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK.
Eleni SakkaDepartment of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK.
Lucy C MaconickBuckinghamshire Healthcare NHS Trust Buckinghamshire UK.
Fergus DoubalDepartment of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK.
Cathie L M SudlowDepartment of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK.
Joanna M WardlawDepartment of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK.
University of Edinburgh · GBBuckinghamshire Healthcare NHS Trust · GB

Funding

Wellcome Trust WT088134/Z/09/A
6 · The paper itself

Abstract

backgroundIn structural Magnetic Resonance Imaging (MRI) of patients with a recent small subcortical infarct (RSSI) and small vessel disease (SVD) imaging markers coexist. However, their spatial distribution and prevalence with respect to the hemisphere of the RSSI remain unknown. MATERIALS AND

methodsFrom brain MRI in 187 patients with an acute lacunar ischemic stroke clinical syndrome and a relevant diffusion weighted imaging (DWI)-positive lesion, we semiautomatically extracted the RSSI, microbleeds, lacunes, old cortical infarcts, and white matter hyperintensities (WMH) using optimized thresholding in the relevant sequences, and rated the load of perivascular spaces. We registered all images to an age-relevant brain template and calculated the probability distribution of all SVD markers mentioned for patients who had the RSSI in each hemisphere separately. We used the Wilcoxon and chi-squared tests to compare the volumes and frequencies of occurrence, respectively, of the SVD markers between hemispheres throughout the sample.

resultsFifty-two percent patients (

conclusionAssessment of SVD imaging markers in the contralateral hemisphere could be used as a proxy for the SVD load in the whole brain to avoid contamination by the RSSI of the measurements, especially of WMH.

Indexed as

AdultAgedAged, 80 and overBiomarkersBrain InfarctionBrain Stem InfarctionsCerebral CortexCerebral HemorrhageCerebral InfarctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedStroke, LacunarWhite MatterBiomarkersmagnetic resonance imagesneuroimagingsmall vessel diseasestrokewhite matter hyperintensities

Identifiers

PMID28127514
PMCPMC5256179
OpenAlexW2548764679

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.