Evidence map›Paper›PMID 36253534›Full record

ArticleEuropean journal of human genetics : EJHG2023

Updated Stroke Gene Panels: Rapid evolution of knowledge on monogenic causes of stroke.

Andreea Ilinca, Andreas Puschmann, Jukka Putaala, Frank Erik de Leeuw, John Cole, Stephen Kittner, Ulf Kristoffersson, Arne G Lindgren

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2023. 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
–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

9 citing papers in PubMed.

  1. Article
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  9. The value of exomes across the ages.European journal of human genetics : EJHG · 2023
    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.

Andreea IlincaDepartment of Neurology, Skåne University Hospital; Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden. Andreea.Ilinca@med.lu.se.ORCID 0000-0003-1979-5459
Andreas PuschmannDepartment of Neurology, Skåne University Hospital; Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden.
Jukka PutaalaDepartment of Neurology, Helsinki University Hospital, Helsinki, Finland.
Frank Erik de LeeuwRadboud University Medical Center, Department of Neurology; Donders Center for Medical Neuroscience, Nijmegen, The Netherlands.
John ColeDepartment of Neurology, Veterans Affairs Maryland Health Care System, University of Maryland School of Medicine, Baltimore, MA, USA.
Stephen KittnerDepartment of Neurology, Veterans Affairs Maryland Health Care System, University of Maryland School of Medicine, Baltimore, MA, USA.
Ulf KristofferssonDivision of Clinical Genetics, Laboratory Medicine, Lund University, Lund, Sweden.ORCID 0000-0003-2967-735X
Arne G LindgrenDepartment of Neurology, Skåne University Hospital; Department of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden.

Funding

CNV And Stroke (CaNVAS)R01NS114045 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI COLE, JOHN W. · 2020 to 2024
$2.6M
NINDS NIH HHS R01 NS114045
6 · The paper itself

Abstract

This article updates our previous Stroke Gene Panels (SGP) from 2017. Online Mendelian Inheritance in Man and PubMed were searched. We divided detected genes into two SGP groups, SGP1: genes reported in at least one person with stroke and associated with one or more clinical subgroups: large artery atherosclerotic, large artery non-atherosclerotic (tortuosity, dolichoectasia, aneurysm, non-atherosclerotic dissection or occlusion), cerebral small vessel diseases, cardio-embolic (arrhythmia, heart defect, cardiomyopathy), coagulation dysfunctions (venous thrombosis, arterial thrombosis, bleeding tendency), intracerebral hemorrhage, vascular malformations (cavernoma, arteriovenous malformations) and metabolism disorders; and SGP2: genes related to diseases that may predispose to stroke. We identified 168 SGP1 genes, 70 of these were validated for clinical practice. We also detected 72 SGP2 genes. Nine genes were removed because of conflicting evidence. The number of genes increased from 168 to 240 during 4.5-years, reflecting a dynamic evolution and the need for regular updates for research and clinical use.

Indexed as

StrokeVascular MalformationsCerebral HemorrhageDatabases, GeneticHumansRisk Factors

Identifiers

PMID36253534
PMCPMC9905069

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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.