Literature DB >> 23611301

Interobserver variability of seizure semiology between two neurologist and caregivers.

Gulcin Benbir1, Derya Yavuz Demiray, Sakir Delil, Naz Yeni.   

Abstract

PURPOSE: We aimed to compare the extent of inter-observer variability in the description of seizure semiology between both neurologists and caregivers.
METHOD: We prospectively investigated 93 consecutive patients monitored over the past 5 years in our video-EEG unit. The videotaped seizures of the patients were reviewed independently by two neurologists who were blind to the clinical data. The questionnaires were completed by neurologists and caregivers. Interobserver rate of agreement between neurologists and caregivers was analyzed by using the kappa analysis and intraclass correlation coefficients.
RESULTS: There was excellent agreement for questions regarding whether the patient's eyes remained open, laterality of head deviation, arm movements, and ictal period. On the other hand, interobserver rate of agreement was fair to moderate for the laterality of hand automatisms, the presence of nose-wiping, and oral clonic jerks.
CONCLUSION: Besides variability in interobserver agreement among clinicians, the variability or concordance between physicians and caregivers are also of great importance, especially in case of epilepsy, where the accurate description of the attacks is the major determinant of an accurate diagnosis.
Copyright © 2013 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Interobserver rate of agreement; Intraclass correlation coefficients; Kappa analysis; Seizure semiology

Mesh:

Year:  2013        PMID: 23611301     DOI: 10.1016/j.seizure.2013.04.001

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  6 in total

1.  Survival in 76 cats with epilepsy of unknown cause: a retrospective study.

Authors:  Arlette Cornelia Szelecsenyi; Urs Giger; Lorenzo Golini; Ian Mothersill; Paul R Torgerson; Frank Steffen
Journal:  Vet Rec       Date:  2017-11       Impact factor: 2.695

2.  Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures.

Authors:  William O Tatum; Lawrence J Hirsch; Michael A Gelfand; Emily K Acton; W Curt LaFrance; Robert B Duckrow; David K Chen; Andrew S Blum; John D Hixson; Joe F Drazkowski; Selim R Benbadis; Gregory D Cascino
Journal:  JAMA Neurol       Date:  2020-05-01       Impact factor: 18.302

3.  Inter-observer agreement of canine and feline paroxysmal event semiology and classification by veterinary neurology specialists and non-specialists.

Authors:  Rowena M A Packer; Mette Berendt; Sofie Bhatti; Marios Charalambous; Sigitas Cizinauskas; Luisa De Risio; Robyn Farquhar; Rachel Hampel; Myfanwy Hill; Paul J J Mandigers; Akos Pakozdy; Stephanie M Preston; Clare Rusbridge; Veronika M Stein; Fran Taylor-Brown; Andrea Tipold; Holger A Volk
Journal:  BMC Vet Res       Date:  2015-02-18       Impact factor: 2.741

4.  Accuracy of seizure semiology obtained from first-time seizure witnesses.

Authors:  Taim A Muayqil; Mohammed H Alanazy; Hassan M Almalak; Hussain Khaled Alsalman; Faroq Walid Abdulfattah; Abdullah Ibrahim Aldraihem; Fawaz Al-Hussain; Bandar N Aljafen
Journal:  BMC Neurol       Date:  2018-09-01       Impact factor: 2.474

5.  Revealing epilepsy type using a computational analysis of interictal EEG.

Authors:  Marinho A Lopes; Suejen Perani; Siti N Yaakub; Mark P Richardson; Marc Goodfellow; John R Terry
Journal:  Sci Rep       Date:  2019-07-15       Impact factor: 4.379

6.  Investigation of patient and observer agreement on description of seizures at initial clinical visit.

Authors:  Maha N Saleem; Christopher A Arencibia; Kevin McKenna; Sabrina Cristofaro; Kamil Detyniecki; Daniel Friedman; Jacqueline French; Hal Blumenfeld
Journal:  Ann Clin Transl Neurol       Date:  2019-12-05       Impact factor: 4.511

  6 in total

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