Literature DB >> 19176952

Classification of minor stroke: intra- and inter-observer reliability.

Johann R Selvarajah1, Matthew Glaves, Jane Wainwright, Animesh Jha, Andy Vail, Pippa J Tyrrell.   

Abstract

BACKGROUND: The Oxfordshire Community Stroke Project (OCSP) and Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classifications are widely used for the assessment of major ischaemic stroke. We explored their intra- and inter-observer reliability in the classification of outpatient minor stroke.
METHODS: Four physicians of differing seniority and training backgrounds classified minor stroke using clinical data from 90 patients.
RESULTS: For both the OCSP and TOAST classifications, the intra-observer reliability varied from moderate to excellent (kappa = 0.48-0.83). The inter-observer reliability was good (kappa = 0.64) for the OCSP and moderate (kappa = 0.42) for the TOAST. Thus, neither classification was consistently reliable.
CONCLUSIONS: Our results may reflect the limited validity of these classifications in a typical minor stroke outpatient population and variable observer expertise.

Entities:  

Mesh:

Year:  2009        PMID: 19176952     DOI: 10.1159/000196817

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  12 in total

1.  The Causative Classification of Stroke system: an international reliability and optimization study.

Authors:  E M Arsava; E Ballabio; T Benner; J W Cole; M P Delgado-Martinez; M Dichgans; F Fazekas; K L Furie; K Illoh; K Jood; S Kittner; A G Lindgren; J J Majersik; M J Macleod; W J Meurer; J Montaner; A A Olugbodi; A Pasdar; P Redfors; R Schmidt; P Sharma; A B Singhal; A G Sorensen; C Sudlow; V Thijs; B B Worrall; J Rosand; H Ay
Journal:  Neurology       Date:  2010-10-05       Impact factor: 9.910

2.  Agreement between TOAST and CCS ischemic stroke classification: the NINDS SiGN study.

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
Journal:  Neurology       Date:  2014-09-26       Impact factor: 9.910

3.  Polygenic Risk for Depression Increases Risk of Ischemic Stroke: From the Stroke Genetics Network Study.

Authors:  Sylvia Wassertheil-Smoller; Qibin Qi; Tushar Dave; Braxton D Mitchell; Rebecca D Jackson; Simin Liu; Ki Park; Joel Salinas; Erin C Dunn; Enrique C Leira; Huichun Xu; Kathleen Ryan; Jordan W Smoller
Journal:  Stroke       Date:  2018-02-08       Impact factor: 7.914

Review 4.  Advances in the diagnosis of etiologic subtypes of ischemic stroke.

Authors:  Hakan Ay
Journal:  Curr Neurol Neurosci Rep       Date:  2010-01       Impact factor: 5.081

5.  Effect of Intensive Versus Standard Blood Pressure Control on Stroke Subtypes.

Authors:  Clinton B Wright; Alexander P Auchus; Alan Lerner; Walter T Ambrosius; Hakan Ay; Jeffrey T Bates; Jing Chen; James F Meschia; Suchita Pancholi; Vasilios Papademetriou; Anjay Rastogi; Mary Sweeney; James J Willard; Jerry Yee; Suzanne Oparil
Journal:  Hypertension       Date:  2021-02-15       Impact factor: 10.190

6.  Pathogenic ischemic stroke phenotypes in the NINDS-stroke genetics network.

Authors:  Hakan Ay; Ethem Murat Arsava; Gunnar Andsberg; Thomas Benner; Robert D Brown; Sherita N Chapman; John W Cole; Hossein Delavaran; Martin Dichgans; Gunnar Engström; Eva Giralt-Steinhauer; Raji P Grewal; Katrina Gwinn; Christina Jern; Jordi Jimenez-Conde; Katarina Jood; Michael Katsnelson; Brett Kissela; Steven J Kittner; Dawn O Kleindorfer; Daniel L Labovitz; Silvia Lanfranconi; Jin-Moo Lee; Manuel Lehm; Robin Lemmens; Chris Levi; Linxin Li; Arne Lindgren; Hugh S Markus; Patrick F McArdle; Olle Melander; Bo Norrving; Leema Reddy Peddareddygari; Annie Pedersén; Joanna Pera; Kristiina Rannikmäe; Kathryn M Rexrode; David Rhodes; Stephen S Rich; Jaume Roquer; Jonathan Rosand; Peter M Rothwell; Tatjana Rundek; Ralph L Sacco; Reinhold Schmidt; Markus Schürks; Stephan Seiler; Pankaj Sharma; Agnieszka Slowik; Cathie Sudlow; Vincent Thijs; Rebecca Woodfield; Bradford B Worrall; James F Meschia
Journal:  Stroke       Date:  2014-11-06       Impact factor: 7.914

Review 7.  Promising Biomarker Candidates for Cardioembolic Stroke Etiology. A Brief Narrative Review and Current Opinion.

Authors:  Arnold Markus; Schütz Valerie; Katan Mira
Journal:  Front Neurol       Date:  2021-02-25       Impact factor: 4.003

8.  Associations of clinical stroke misclassification ('clinical-imaging dissociation') in acute ischemic stroke.

Authors:  Gillian Potter; Fergus Doubal; Caroline Jackson; Cathie Sudlow; Martin Dennis; Joanna Wardlaw
Journal:  Cerebrovasc Dis       Date:  2010-02-19       Impact factor: 2.762

9.  Comparison of the Chinese ischemic stroke subclassification and Trial of Org 10172 in acute stroke treatment systems in minor stroke.

Authors:  Sha Tan; Lei Zhang; Xiaoyu Chen; Yanqiang Wang; Yinyao Lin; Wei Cai; Yilong Shan; Wei Qiu; Xueqiang Hu; Zhengqi Lu
Journal:  BMC Neurol       Date:  2016-09-06       Impact factor: 2.474

10.  Role of Hyperintense Acute Reperfusion Marker for Classifying the Stroke Etiology.

Authors:  Hee Young Choi; Kyung Mi Lee; Hyug-Gi Kim; Eui Jong Kim; Woo Suk Choi; Bum Joon Kim; Sung Hyuk Heo; Dae-Il Chang
Journal:  Front Neurol       Date:  2017-11-29       Impact factor: 4.003

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