Evidence map›Paper›PMID 33746892›Full record

ArticleFrontiers in neurology2021

Lacunar Stroke Lesion Extent and Location and White Matter Hyperintensities Evolution 1 Year Post-lacunar Stroke.

Maria Del C Valdés Hernández, Tara Grimsley-Moore, Eleni Sakka, Michael J Thrippleton, Francesca M Chappell, Paul A Armitage, Stephen Makin, Joanna M Wardlaw

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. CT Perfusion in Lacunar Stroke: A Systematic Review.Diagnostics (Basel, Switzerland) · 2023
    Review
  5. 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

8 authors at 3 institutions in 1 country.

Maria Del C Valdés HernándezCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Tara Grimsley-MooreCollege of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, United Kingdom.
Eleni SakkaCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Michael J ThrippletonCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Francesca M ChappellCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Paul A ArmitageAcademic Unit of Radiology, University of Sheffield, Sheffield, United Kingdom.
Stephen MakinCentre for Rural Health, University of Aberdeen, Aberdeen, United Kingdom.
Joanna M WardlawCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
University of Edinburgh · GBUniversity of Aberdeen · GBUniversity of Sheffield · GB

Funding

Medical Research Council MC_G1002455Wellcome Trust
6 · The paper itself

Abstract

Lacunar strokes are a common type of ischemic stroke. They are associated with long-term disability, but the factors affecting the dynamic of the infarcted lesion and the brain imaging features associated with them, reflective of small vessel disease (SVD) severity, are still largely unknown. We investigated whether the distribution, volume and 1-year evolution of white matter hyperintensities (WMH), one of these SVD features, relate to the extent and location of these infarcts, accounting for vascular risk factors. We used imaging and clinical data from all patients [

Indexed as

lacunarlacunes of presumed vascular originrecent small subcortical infarctstrokevascular risk factorswhite matter hyperintensities

Identifiers

PMID33746892
PMCPMC7976454
OpenAlexW3134715834

What Socratic 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 Socratic graph.