Title |
Agreement between TOAST and CCS ischemic stroke classification
|
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Published in |
Neurology, September 2014
|
DOI | 10.1212/wnl.0000000000000942 |
Pubmed ID | |
Authors |
Patrick F McArdle, Steven J Kittner, Hakan Ay, Robert D Brown, James F Meschia, Tatjana Rundek, Sylvia Wassertheil-Smoller, Daniel Woo, Gunnar Andsberg, Alessandro Biffi, David A Brenner, John W Cole, Roderick Corriveau, Paul I W de Bakker, Hossein Delavaran, Martin Dichgans, Raji P Grewal, Katrina Gwinn, Mohammed Huq, Christina Jern, Jordi Jimenez-Conde, Katarina Jood, Robert C Kaplan, Petra Katschnig, Michael Katsnelson, Daniel L Labovitz, Robin Lemmens, Linxin Li, Arne Lindgren, Hugh S Markus, Leema R Peddareddygari, Annie Pedersén, Joanna Pera, Petra Redfors, Jaume Roquer, Jonathan Rosand, Natalia S Rost, Peter M Rothwell, Ralph L Sacco, Pankaj Sharma, Agnieszka Slowik, Cathie Sudlow, Vincent Thijs, Steffen Tiedt, Raffaella Valenti, Bradford B Worrall |
Abstract |
The objective of this study was to assess the level of agreement between stroke subtype classifications made using the Trial of Org 10172 Acute Stroke Treatment (TOAST) and Causative Classification of Stroke (CCS) systems. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 25% |
Brazil | 1 | 13% |
Canada | 1 | 13% |
Colombia | 1 | 13% |
Netherlands | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Austria | 1 | 1% |
Unknown | 84 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 11 | 13% |
Student > Master | 9 | 10% |
Student > Ph. D. Student | 8 | 9% |
Student > Postgraduate | 7 | 8% |
Researcher | 7 | 8% |
Other | 22 | 26% |
Unknown | 22 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 36 | 42% |
Neuroscience | 7 | 8% |
Agricultural and Biological Sciences | 5 | 6% |
Nursing and Health Professions | 4 | 5% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Other | 7 | 8% |
Unknown | 24 | 28% |