Evidence map›Paper›PMID 31008316›Full record

ArticleEuropean stroke journal2017

GISCOME - Genetics of Ischaemic Stroke Functional Outcome network: A protocol for an international multicentre genetic association study.

Jane M Maguire, Steve Bevan, Tara M Stanne, Erik Lorenzen, Israel Fernandez-Cadenas, Graeme J Hankey, Jordi Jimenez-Conde, Katarina Jood, Jin-Moo Lee, Robin Lemmens and 18 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European stroke journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Influences of genetic variants on stroke recovery: a meta-analysis of the 31,895 cases.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
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  12. Genetics in Ischemic Stroke: Current Perspectives and Future Directions.Journal of cardiovascular development and disease · 2023
    Review
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  15. Article
  16. Article
  17. Genetic Aspects of Inflammation and Immune Response in Stroke.International journal of molecular sciences · 2020
    Review
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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

28 authors.

Jane M MaguireFaculty of Health, University of Technology, Australia.
Steve BevanSchool of Life Sciences, University of Lincoln, UK.
Tara M StanneInstitute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Sweden.
Erik LorenzenInstitute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Sweden.
Israel Fernandez-CadenasStroke Pharmacogenomics and Genetics, Fundació Docència I Recerca Mutuaterrassa, Mutua de Terrassa Hospital, Spain.
Graeme J HankeySchool of Medicine and Pharmacology, The University of Western Australia, Australia.
Jordi Jimenez-CondeDepartment of Neurology, Institut Hospital del Mar d'Investigació Mèdica (IMIM), Spain.
Katarina JoodInstitute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Sweden.
Jin-Moo LeeDepartment of Neurology, Washington University School of Medicine, USA.
Robin LemmensDepartment of Neurosciences, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease (LIND), KU Leuven - University of Leuven, Belgium.
Christopher LeviHunter Medical Research Institute, University of Newcastle, Australia.
Bo NorrvingDepartment of Clinical Sciences Lund, Neurology, Lund University, Sweden.
Kristiina RannikmaeCentre for Clinical Brain Sciences, University of Edinburgh, UK.
Natalia RostDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, USA.
Jonathan RosandDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, USA.
Peter M RothwellStroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
Rodney ScottFaculty of Health, University of Technology, Australia.
Daniel StrbianDepartment of Neurology, Helsinki University Hospital, Finland.
Jonathan SturmFaculty of Health and Medicine, University of Newcastle, Australia.
Cathie SudlowCentre for Clinical Brain Sciences, University of Edinburgh, UK.
Matthew TraylorDepartment of Clinical Neurosciences, University of Cambridge, UK.
Vincent ThijsDepartment of Neurology, Austin Health, Heidelberg, Australia.
Turgut TatlisumakInstitute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Sweden.
Tadeusz WielochDepartment of Clinical Sciences Lund, Neurology, Lund University, Sweden.
Daniel WooDepartment of Neurology and Rehabilitation, University of Cincinnati, College of Medicine, USA.
Bradford B WorrallDepartment of Neurology, University of Virginia, USA.
Christina JernInstitute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Sweden.
Arne LindgrenDepartment of Clinical Sciences Lund, Neurology, Lund University, Sweden.

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionGenome-wide association studies have identified several novel genetic loci associated with stroke risk, but how genetic factors influence stroke outcome is less studied. The Genetics of Ischaemic Stroke Functional outcome network aims at performing genetic studies of stroke outcome. We here describe the study protocol and methods basis of Genetics of Ischaemic Stroke Functional outcome.

methodsThe Genetics of Ischaemic Stroke Functional outcome network has assembled patients from 12 ischaemic stroke projects with genome-wide genotypic and outcome data from the International Stroke Genetics Consortium and the National Institute of Neurological Diseases Stroke Genetics Network initiatives. We have assessed the availability of baseline variables, outcome metrics and time-points for collection of outcome data.

resultsWe have collected 8831 ischaemic stroke cases with genotypic and outcome data. Modified Rankin score was the outcome metric most readily available. We detected heterogeneity between cohorts for age and initial stroke severity (according to the NIH Stroke Scale), and will take this into account in analyses. We intend to conduct a first phase genome-wide association outcome study on ischaemic stroke cases with data on initial stroke severity and modified Rankin score within 60-190 days. To date, we have assembled 5762 such cases and are currently seeking additional cases meeting these criteria for second phase analyses.

conclusionGenetics of Ischaemic Stroke Functional outcome is a unique collection of ischaemic stroke cases with detailed genetic and outcome data providing an opportunity for discovery of genetic loci influencing functional outcome. Genetics of Ischaemic Stroke Functional outcome will serve as an exploratory study where the results as well as the methodological observations will provide a basis for future studies on functional outcome. Genetics of Ischaemic Stroke Functional outcome can also be used for candidate gene replication or assessing stroke outcome non-genetic association hypotheses.

Indexed as

functional outcomeGenetic association studiesstroke

Identifiers

PMID31008316
PMCPMC6454830

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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.