Literature DB >> 4069362

Interobserver variability in EEG interpretation.

G W Williams, H O Lüders, A Brickner, M Goormastic, D W Klass.   

Abstract

A random sample of 100 active electroencephalographers in the United States evaluated 10-second samples of 12 selected EEGs. The evaluations consisted of multiple-choice questions related to the age of the patient, EEG finding, artifact, and consciousness of the patient. The rate of reporting the "correct" response was examined in terms of various respondent characteristics such as EEG board certification, age, percent of time in clinical EEG work, and number of recordings interpreted annually. This study indicates that, even today, there is considerable variability in EEG interpretation, and that this variability is influenced by specific reader characteristics.

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Year:  1985        PMID: 4069362     DOI: 10.1212/wnl.35.12.1714

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  11 in total

1.  Continuous or emergent EEG: can bedside caregivers recognize epileptiform discharges?

Authors:  Enrique C Leira; Mary E Bertrand; R Edward Hogan; Salvador Cruz-Flores; Kathleen W Wyrwich; Osamah J Albaker; Eve M Holzemer
Journal:  Intensive Care Med       Date:  2003-11-13       Impact factor: 17.440

2.  [Significance of the EEG in the diagnosis of epilepsy].

Authors:  J Rémi; S Noachtar
Journal:  Nervenarzt       Date:  2012-02       Impact factor: 1.214

3.  Backpropagation artificial neural network detects changes in electro-encephalogram power spectra of syncopic patients.

Authors:  Rakesh Kumar Sinha; Yogender Aggarwal; Barda Nand Das
Journal:  J Med Syst       Date:  2007-02       Impact factor: 4.460

4.  EEG Factors After Pediatric Cardiac Arrest.

Authors:  Nicholas S Abend; Douglas J Wiebe; Rui Xiao; Shavonne L Massey; Mark Fitzgerald; France Fung; Alexis A Topjian
Journal:  J Clin Neurophysiol       Date:  2018-05       Impact factor: 2.177

5.  Interobserver reproducibility of electroencephalogram interpretation in critically ill children.

Authors:  Nicholas S Abend; Ana Gutierrez-Colina; Huaqing Zhao; Rong Guo; Eric Marsh; Robert R Clancy; Dennis J Dlugos
Journal:  J Clin Neurophysiol       Date:  2011-02       Impact factor: 2.177

6.  Stability of Early EEG Background Patterns After Pediatric Cardiac Arrest.

Authors:  Nicholas S Abend; Rui Xiao; Sudha Kilaru Kessler; Alexis A Topjian
Journal:  J Clin Neurophysiol       Date:  2018-05       Impact factor: 2.177

7.  When is electrical cortical stimulation more likely to produce afterdischarges?

Authors:  Hyang Woon Lee; W R S Webber; Nathan Crone; Diana L Miglioretti; Ronald P Lesser
Journal:  Clin Neurophysiol       Date:  2009-11-08       Impact factor: 3.708

8.  Interrater reliability of EEG-video monitoring.

Authors:  S R Benbadis; W C LaFrance; G D Papandonatos; K Korabathina; K Lin; H C Kraemer
Journal:  Neurology       Date:  2009-09-15       Impact factor: 9.910

9.  Interrater Agreement of EEG Interpretation After Pediatric Cardiac Arrest Using Standardized Critical Care EEG Terminology.

Authors:  Nicholas S Abend; Shavonne L Massey; Mark Fitzgerald; France Fung; Natalie J Atkin; Rui Xiao; Alexis A Topjian
Journal:  J Clin Neurophysiol       Date:  2017-11       Impact factor: 2.177

10.  Short-term variations in response distribution to cortical stimulation.

Authors:  Ronald P Lesser; Hyang Woon Lee; W R S Webber; Barry Prince; Nathan E Crone; Diana L Miglioretti
Journal:  Brain       Date:  2008-03-12       Impact factor: 13.501

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