Predicting post-stroke cognitive impairment using acute CT neuroimaging: A systematic review and meta-analysis

Emily Louise Ball; Rachel Sutherland; Charlotte Squires; Gillian Mead; Dorota Religa; Eric Lundstrom; Joshua Cheyne; Joanna Wardlaw; Terence Joseph Quinn; Susan D Shenkin

doi:10.1177/17474930211045836

Predicting post-stroke cognitive impairment using acute CT neuroimaging: A systematic review and meta-analysis

Emily Louise Ball, Rachel Sutherland, Charlotte Squires, Gillian Mead, Dorota Religa, Eric Lundstrom, Joshua Cheyne, Joanna Wardlaw, Terence Joseph Quinn, Susan D Shenkin

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	174749302110458
Journal	International Journal of Stroke
Volume	17
Issue number	6
Early online date	29 Sept 2021
DOIs	https://doi.org/10.1177/17474930211045836
Publication status	Published - 5 Jul 2022

Keywords / Materials (for Non-textual outputs)

Stroke
cognitive impairment
computed tomography
dementia
neuroimaging

Access to Document

10.1177/17474930211045836

Accepted manuscript
This is the author's peer-reviewed manuscript as accepted for publication.
Accepted author manuscript, 281 KB

http://journals.sagepub.com/doi/10.1177/17474930211045836

Cite this

@article{cad69765a3434246a4bf4f9b04cddcf3,

title = "Predicting post-stroke cognitive impairment using acute CT neuroimaging: A systematic review and meta-analysis",

keywords = "Stroke, cognitive impairment, computed tomography, dementia, neuroimaging",

author = "Ball, {Emily Louise} and Rachel Sutherland and Charlotte Squires and Gillian Mead and Dorota Religa and Eric Lundstrom and Joshua Cheyne and Joanna Wardlaw and Quinn, {Terence Joseph} and Shenkin, {Susan D}",

note = "Funding Information: We would like to thank Jose Bernal Moyano for help with translation and data extraction. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: ELB received funding from the MRC, University of Edinburgh and University of Glasgow, as part of the Precision Medicine Doctoral Training Programme (MR/N013166/1). JMW is funded by the UK Dementia Research Institute which receives funding from DRI Ltd, funded by the UK Medical Research Council, Alzheimer{\textquoteright}s Society and Alzheimer{\textquoteright}s Research UK; Fondation Leducq Transatlantic Network of Excellence for the Study of Perivascular Spaces in Small Vessel Disease (16 CVD 05); The Row Fogo Centre for Research into Ageing and the Brain (Ref AD.ROW4.35. BRO-D.FID3668413) and the British Heart Foundation (RE/18/5/34216). DR was supported by the Swedish Research Council 2020-06101 (WISER). Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: ELB received funding from the MRC, University of Edinburgh and University of Glasgow, as part of the Precision Medicine Doctoral Training Programme (MR/N013166/1). JMW is funded by the UK Dementia Research Institute which receives funding from DRI Ltd, funded by the UK Medical Research Council, Alzheimer{\textquoteright}s Society and Alzheimer{\textquoteright}s Research UK; Fondation Leducq Transatlantic Network of Excellence for the Study of Perivascular Spaces in Small Vessel Disease (16 CVD 05); The Row Fogo Centre for Research into Ageing and the Brain (Ref AD.ROW4.35. BRO-D.FID3668413) and the British Heart Foundation (RE/18/5/34216). DR was supported by the Swedish Research Council 2020-06101 (WISER). Publisher Copyright: {\textcopyright} 2021 World Stroke Organization.",

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T1 - Predicting post-stroke cognitive impairment using acute CT neuroimaging: A systematic review and meta-analysis

AU - Ball, Emily Louise

AU - Sutherland, Rachel

AU - Squires, Charlotte

AU - Mead, Gillian

AU - Religa, Dorota

AU - Lundstrom, Eric

AU - Cheyne, Joshua

AU - Wardlaw, Joanna

AU - Quinn, Terence Joseph

AU - Shenkin, Susan D

N1 - Funding Information: We would like to thank Jose Bernal Moyano for help with translation and data extraction. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: ELB received funding from the MRC, University of Edinburgh and University of Glasgow, as part of the Precision Medicine Doctoral Training Programme (MR/N013166/1). JMW is funded by the UK Dementia Research Institute which receives funding from DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer’s Research UK; Fondation Leducq Transatlantic Network of Excellence for the Study of Perivascular Spaces in Small Vessel Disease (16 CVD 05); The Row Fogo Centre for Research into Ageing and the Brain (Ref AD.ROW4.35. BRO-D.FID3668413) and the British Heart Foundation (RE/18/5/34216). DR was supported by the Swedish Research Council 2020-06101 (WISER). Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: ELB received funding from the MRC, University of Edinburgh and University of Glasgow, as part of the Precision Medicine Doctoral Training Programme (MR/N013166/1). JMW is funded by the UK Dementia Research Institute which receives funding from DRI Ltd, funded by the UK Medical Research Council, Alzheimer’s Society and Alzheimer’s Research UK; Fondation Leducq Transatlantic Network of Excellence for the Study of Perivascular Spaces in Small Vessel Disease (16 CVD 05); The Row Fogo Centre for Research into Ageing and the Brain (Ref AD.ROW4.35. BRO-D.FID3668413) and the British Heart Foundation (RE/18/5/34216). DR was supported by the Swedish Research Council 2020-06101 (WISER). Publisher Copyright: © 2021 World Stroke Organization.

PY - 2022/7/5

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KW - Stroke

KW - cognitive impairment

KW - computed tomography

KW - dementia

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