Literature DB >> 29953034

Inter-rater Agreement for the Diagnosis of Stroke Versus Stroke Mimic.

Ava L Liberman1, Sara K Rostanski2, Ilana M Ruff3, Ashley N D Meyer4,5, Matthew B Maas3, Shyam Prabhakaran3.   

Abstract

BACKGROUND AND
PURPOSE: Patients who present emergently with acute neurological signs and symptoms represent unique diagnostic challenges for clinicians. We sought to characterize the reliability of physician diagnosis in differentiating aborted or imaging-negative acute ischemic stroke from stroke mimic.
METHODS: We constructed 10 case-vignettes of patients treated with thrombolysis with subsequent clinical improvement who lacked radiographic evidence of infarction. Using an online survey, we asked physicians to select a most likely final diagnosis after reading each case-vignette. Inter-rater agreement was evaluated using percent agreement and κ statistic for multiple raters with 95% confidence intervals reported.
RESULTS: Sixty-five physicians participated in the survey. Most participants were in practice for ≥5 years and over half were vascular neurologists. Physicians agreed on the most likely final diagnosis 71% of the time, κ of 0.21 (95% confidence interval, 0.06-0.54). Percent agreement was similar across participant practice locations, years of experience, subspecialty training, and personal experience with thrombolysis.
CONCLUSIONS: We found modest agreement among surveyed physicians in distinguishing ischemic stroke syndromes from stroke mimics in patients without radiographic evidence of infarction and clinical improvement after thrombolysis. Methods to improve diagnostic consensus after thrombolysis are needed to assure acute ischemic stroke patients and stroke mimics are treated safely and accurately.

Entities:  

Mesh:

Year:  2018        PMID: 29953034     DOI: 10.1097/NRL.0000000000000187

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


  5 in total

Review 1.  Diagnostic error and neuro-ophthalmology.

Authors:  Leanne Stunkel; Nancy J Newman; Valérie Biousse
Journal:  Curr Opin Neurol       Date:  2019-02       Impact factor: 5.710

2.  Is the Cost-Effectiveness of Stroke Thrombolysis Affected by Proportion of Stroke Mimics?

Authors:  Ava L Liberman; Ho-Jun Choi; Dustin D French; Shyam Prabhakaran
Journal:  Stroke       Date:  2019-02       Impact factor: 7.914

3.  Electroencephalography Measures are Useful for Identifying Large Acute Ischemic Stroke in the Emergency Department.

Authors:  Lauren Shreve; Arshdeep Kaur; Christopher Vo; Jennifer Wu; Jessica M Cassidy; Andrew Nguyen; Robert J Zhou; Thuong B Tran; Derek Z Yang; Ariana I Medizade; Bharath Chakravarthy; Wirachin Hoonpongsimanont; Erik Barton; Wengui Yu; Ramesh Srinivasan; Steven C Cramer
Journal:  J Stroke Cerebrovasc Dis       Date:  2019-06-04       Impact factor: 2.136

4.  Physician-Confirmed and Administrative Definitions of Stroke in UK Biobank Reflect the Same Underlying Genetic Trait.

Authors:  Kristiina Rannikmäe; Konrad Rawlik; Amy C Ferguson; Nikos Avramidis; Muchen Jiang; Nicola Pirastu; Xia Shen; Emma Davidson; Rebecca Woodfield; Rainer Malik; Martin Dichgans; Albert Tenesa; Cathie Sudlow
Journal:  Front Neurol       Date:  2022-02-02       Impact factor: 4.003

5.  Stroke mimics: incidence, aetiology, clinical features and treatment.

Authors:  Brian H Buck; Naveed Akhtar; Anas Alrohimi; Khurshid Khan; Ashfaq Shuaib
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

  5 in total

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