The Causative Classification of Stroke system An international reliability and optimization study

Arsava, ETHEM; BALLABIO, E.; Benner, T.; COLE, J.; DELGADO-MARTINEZ, M.; DICHGANS, M.; FAZEKAS, F.; Furie, K.; ILLOH, K.; JOOD, K.; KITTNER, S.; Lindgren, A.; MAJERSIK, J.; Macleod, M.; MEURER, W.; MONTANER, J.; OLUGBODI, A.; Pasdar, A.; REDFORS, P.; SCHMIDT, R.; SHARMA, P.; Singhal, A.; Sorensen, A.; Sudlow, C.; THIJS, V.; Worrall, B.; Rosand, J.; Ay, H.

doi:10.1212/wnl.0b013e3181f612ce

The Causative Classification of Stroke system An international reliability and optimization study

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Arsava E. M., BALLABIO E., Benner T., COLE J. W., DELGADO-MARTINEZ M. P., DICHGANS M., ...More

NEUROLOGY, vol.75, no.14, pp.1277-1284, 2010 (SCI-Expanded)

Publication Type: Article / Article
Volume: 75 Issue: 14
Publication Date: 2010
Doi Number: 10.1212/wnl.0b013e3181f612ce
Journal Name: NEUROLOGY
Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Page Numbers: pp.1277-1284
Hacettepe University Affiliated: Yes

Abstract

Background: Valid and reliable ischemic stroke subtype determination is crucial for well-powered multicenter studies. The Causative Classification of Stroke System (CCS, available at http://ccs.mgh.harvard.edu) is a computerized, evidence-based algorithm that provides both causative and phenotypic stroke subtypes in a rule-based manner. We determined whether CCS demonstrates high interrater reliability in order to be useful for international multicenter studies.