Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models

10.1177/17474930211041202

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Main Authors:	Romoli, Michele, Eusebi, Paolo, Forlivesi, Stefano, Gentile, Mauro, Giammello, Fabrizio, Piccolo, Laura, Giannandrea, David, Vidale, Simone, Longoni, Marco, Paolucci, Matteo, Hsiao, Jessica, Sayles, Emily, Yeo, Leonard LL, Kristoffersen, Espen Saxhaug, Chamorro, Angel, Jiao, Liqun, Khatri, Pooja, Tsivgoulis, Georgios, Paciaroni, Maurizio, Zini, Andrea
Other Authors:	YONG LOO LIN SCHOOL OF MEDICINE
Format:	Review
Language:	English
Published:	SAGE PUBLICATIONS LTD 2021
Subjects:	Science & Technology Life Sciences & Biomedicine Clinical Neurology Peripheral Vascular Disease Neurosciences & Neurology Cardiovascular System & Cardiology Stroke mothership drip and ship stroke network COVID THROMBECTOMY
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/206111
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-206111
record_format	dspace
spelling	sg-nus-scholar.10635-2061112023-09-01T09:22:15Z Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models Romoli, Michele Eusebi, Paolo Forlivesi, Stefano Gentile, Mauro Giammello, Fabrizio Piccolo, Laura Giannandrea, David Vidale, Simone Longoni, Marco Paolucci, Matteo Hsiao, Jessica Sayles, Emily Yeo, Leonard LL Kristoffersen, Espen Saxhaug Chamorro, Angel Jiao, Liqun Khatri, Pooja Tsivgoulis, Georgios Paciaroni, Maurizio Zini, Andrea YONG LOO LIN SCHOOL OF MEDICINE Science & Technology Life Sciences & Biomedicine Clinical Neurology Peripheral Vascular Disease Neurosciences & Neurology Cardiovascular System & Cardiology Stroke mothership drip and ship stroke network COVID THROMBECTOMY 10.1177/17474930211041202 INTERNATIONAL JOURNAL OF STROKE 16 7 771-783 2021-11-15T01:49:47Z 2021-11-15T01:49:47Z 2021-08-28 2021-11-13T11:48:36Z Review Romoli, Michele, Eusebi, Paolo, Forlivesi, Stefano, Gentile, Mauro, Giammello, Fabrizio, Piccolo, Laura, Giannandrea, David, Vidale, Simone, Longoni, Marco, Paolucci, Matteo, Hsiao, Jessica, Sayles, Emily, Yeo, Leonard LL, Kristoffersen, Espen Saxhaug, Chamorro, Angel, Jiao, Liqun, Khatri, Pooja, Tsivgoulis, Georgios, Paciaroni, Maurizio, Zini, Andrea (2021-08-28). Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models. INTERNATIONAL JOURNAL OF STROKE 16 (7) : 771-783. ScholarBank@NUS Repository. https://doi.org/10.1177/17474930211041202 17474930 17474949 https://scholarbank.nus.edu.sg/handle/10635/206111 en SAGE PUBLICATIONS LTD Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Life Sciences & Biomedicine Clinical Neurology Peripheral Vascular Disease Neurosciences & Neurology Cardiovascular System & Cardiology Stroke mothership drip and ship stroke network COVID THROMBECTOMY
spellingShingle	Science & Technology Life Sciences & Biomedicine Clinical Neurology Peripheral Vascular Disease Neurosciences & Neurology Cardiovascular System & Cardiology Stroke mothership drip and ship stroke network COVID THROMBECTOMY Romoli, Michele Eusebi, Paolo Forlivesi, Stefano Gentile, Mauro Giammello, Fabrizio Piccolo, Laura Giannandrea, David Vidale, Simone Longoni, Marco Paolucci, Matteo Hsiao, Jessica Sayles, Emily Yeo, Leonard LL Kristoffersen, Espen Saxhaug Chamorro, Angel Jiao, Liqun Khatri, Pooja Tsivgoulis, Georgios Paciaroni, Maurizio Zini, Andrea Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
description	10.1177/17474930211041202
author2	YONG LOO LIN SCHOOL OF MEDICINE
author_facet	YONG LOO LIN SCHOOL OF MEDICINE Romoli, Michele Eusebi, Paolo Forlivesi, Stefano Gentile, Mauro Giammello, Fabrizio Piccolo, Laura Giannandrea, David Vidale, Simone Longoni, Marco Paolucci, Matteo Hsiao, Jessica Sayles, Emily Yeo, Leonard LL Kristoffersen, Espen Saxhaug Chamorro, Angel Jiao, Liqun Khatri, Pooja Tsivgoulis, Georgios Paciaroni, Maurizio Zini, Andrea
format	Review
author	Romoli, Michele Eusebi, Paolo Forlivesi, Stefano Gentile, Mauro Giammello, Fabrizio Piccolo, Laura Giannandrea, David Vidale, Simone Longoni, Marco Paolucci, Matteo Hsiao, Jessica Sayles, Emily Yeo, Leonard LL Kristoffersen, Espen Saxhaug Chamorro, Angel Jiao, Liqun Khatri, Pooja Tsivgoulis, Georgios Paciaroni, Maurizio Zini, Andrea
author_sort	Romoli, Michele
title	Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_short	Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_full	Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_fullStr	Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_full_unstemmed	Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_sort	stroke network performance during the first covid-19 pandemic stage: a meta-analysis based on stroke network models
publisher	SAGE PUBLICATIONS LTD
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/206111
_version_	1779154238939594752

Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models

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