Literature DB >> 31246719

Etiological Classification of Cerebral Ischemic Stroke by the TOAST, SSS-TOAST, and ASCOD Systems: The Impact of Observer's Experience on Reliability.

Xiao-Li Yang1,2, De-Sheng Zhu2, Hui-Hui Lv3, Xin-Xin Huang3, Yan Han3, Shuai Wu3, Yang-Tai Guan2.   

Abstract

PURPOSE: To assess the impact of observer's experience on reliability of etiological classification systems in patients with ischemic stroke. PATIENTS AND METHODS: We retrospectively reviewed medical records of 80 patients with ischemic stroke in hospitals from August 2016 to March 2017 consecutively. Patients were classified by 4 observers with different clinical experiences and backgrounds (A, B, C, and D) according to the Trial of ORG 10172 in Acute Stroke Treatment (TOAST), Stop Stroke Study TOAST (SSS-TOAST), and ASCOD (A-atherosclerosis, S-small vessel disease, C-cardiac pathology, O-other cause, and D-dissection). The intraobserver reliability was assessed based on the initial and a second delayed assessment after 3 months, and the interobserver reliability of different pairs (A-B and C-D) and overall (A, B, C, and D) were compared based on the initial classification.
RESULTS: The reliability values of the 3 classification systems were improved with observer's experience increasing, particularly in the TOAST system, in which the intraobserver reliability values of observers A, B, C, and D were 0.62, 0.73, 0.80, and 0.88, respectively, and slight differences were observed between the SSS-TOAST and ASCOD systems. The A-B pair had lower interobserver reliability value than the C-D pair, particularly in TOAST system with reliability values of 0.36 and 0.74, respectively, and a slight variation of interobserver reliability values were noted in the SSS-TOAST and ASCOD system.
CONCLUSIONS: Observer's experience may affect the reliability of etiological classification systems in patients with ischemic stroke.

Entities:  

Year:  2019        PMID: 31246719     DOI: 10.1097/NRL.0000000000000236

Source DB:  PubMed          Journal:  Neurologist        ISSN: 1074-7931            Impact factor:   1.398


  2 in total

1.  Cerebral Ischemic Events: An Overlooked Complication of Transthyretin Cardiac Amyloidosis in Afro-Caribbean Patients.

Authors:  Rishika Banydeen; Aissatou Signate; Tuan-Huy Tran; Astrid Monfort; Remi Neviere; Jocelyn Inamo
Journal:  Front Neurol       Date:  2022-05-19       Impact factor: 4.086

2.  Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests.

Authors:  Jianan Wang; Xiaoxian Gong; Hongfang Chen; Wansi Zhong; Yi Chen; Ying Zhou; Wenhua Zhang; Yaode He; Min Lou
Journal:  Front Aging Neurosci       Date:  2022-04-15       Impact factor: 5.702

  2 in total

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