Evidence map›Paper›PMID 19752450›Full record

ArticleNeurology2009

Interrater reliability of EEG-video monitoring.

S R Benbadis, W C LaFrance, G D Papandonatos, K Korabathina, K Lin, H C Kraemer, NES Treatment Workshop

Open access · bronzeAbstract read
In one paragraph

Article in Neurology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 162 citations in OpenAlex.

  1. Pooled it
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  17. The effect of increased intracranial EEG sampling rates in clinical practice.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2018
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

S R BenbadisUniversity of South Florida and Tampa General Hospital, Tampa, FL, USA. sbenbadi@health.usf.edu
W C LaFrance
G D Papandonatos
K Korabathina
K Lin
H C Kraemer
NES Treatment Workshop
Brown University · USUniversity of South Florida · USTampa General Hospital · US

Funding

Treatments for Psychogenic Nonepileptic Seizures (NES)K23NS045902 · NINDS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI LAFRANCE, W CURT · 2003 to 2007
$818k
NINDS NIH HHS 1K23NS45902
6 · The paper itself

Abstract

objectiveThe diagnosis of psychogenic nonepileptic seizures (PNES) can be challenging. In the absence of a gold standard to verify the reliability of the diagnosis by EEG-video, we sought to assess the interrater reliability of the diagnosis using EEG-video recordings.

methodsPatient samples consisted of 22 unselected consecutive patients who underwent EEG-video monitoring and had at least an episode recorded. Other test results and histories were not provided because the goal was to assess the reliability of the EEG-video. Data were sent to 22 reviewers, who were board-certified neurologists and practicing epileptologists at epilepsy centers. Choices were 1) PNES, 2) epilepsy, and 3) nonepileptic but not psychogenic ("physiologic") events. Interrater agreement was measured using a kappa coefficient for each diagnostic category. We used generalized kappa coefficients, which measure the overall level of between-method agreement beyond that which can be ascribed to chance. We also report category-specific kappa values.

resultsFor the diagnosis of PNES, there was moderate agreement (kappa = 0.57, 95% confidence interval [CI] 0.39-0.76). For the diagnosis of epilepsy, there was substantial agreement (kappa = 0.69, 95% CI 0.51-0.86). For physiologic nonepileptic episodes, the agreement was low (kappa = 0.09, 95% CI 0.02-0.27). The overall kappa statistic across all 3 diagnostic categories was moderate at 0.56 (95% CI 0.41-0.73).

conclusionsInterrater reliability for the diagnosis of psychogenic nonepileptic seizures by EEG-video monitoring was only moderate. Although this may be related to limitations of the study (diagnosis based on EEG-video alone, artificial nature of the forced choice paradigm, single episode), it highlights the difficulties and subjective components inherent to this diagnosis.

Indexed as

Video RecordingElectroencephalographyHumansSeizures

Identifiers

PMID19752450
PMCPMC2744280
OpenAlexW1984207165

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.