Evidence map›Paper›PMID 41029955›Full record

ArticleEncephalitis (Seoul, Korea)2025

Impact of standardized electroencephalography terminology education among early-career neurologists in Korea: a single-group pretest-posttest study.

Kyung-Il Park, Sang Bin Hong, Hansang Lee

Abstract read
In one paragraph

Article in Encephalitis (Seoul, Korea), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. 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

3 authors.

Kyung-Il ParkDivision of Neurology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea.
Sang Bin HongHospital Medicine Center, Seoul National University Hospital, Seoul, Korea.
Hansang LeeDepartment of Neurology, Seran General Hospital, Seoul, Korea.

Funding

Seoul National University Hospital 0420230800
6 · The paper itself

Abstract

Purpose: This study evaluated the effectiveness of implementing standardized electroencephalography (EEG) terminology and education on improving interpretation skills among non-English speakers. Methods: EEGs were collected retrospectively from 16 critically ill patients and two alert epilepsy patients (30-minute sessions) and read by 10 neurologists. After initial interpretation, a learning module was provided to the neurologists. One week later, the neurologists reinterpreted the same EEGs randomly reordered. The interpretation accuracies of 144 items were scored as correct, similar, incorrect, or not recognized based on consensus answers. Results: Overall scores improved significantly after learning modules were completed, increasing from 88.8 ± 23.1 to 118.2 ± 39.2 (p = 0.037). Performance improvement was also observed, regardless of years of clinical experience treating patients with epilepsy. However, more experienced raters tended to have higher inter-rater agreement. The baseline correct answer rates for rhythmic delta activity (RDA), periodic discharges (PD), sporadic epileptiform discharge (ED), and electrographic seizures (ES) were 42.5%, 50%, 60.0%, and 20.0%, respectively. After the learning modules were completed, correct answer rates increased by 21.4% for RDA (p = 0.11), 11.1% for PD (p = 0.06), and 28.1% for ES (p = 0.02), but decreased by 11.1% for sporadic ED (p = 0.02). Specifically, the accuracy for generalized PD improved significantly after learning (p = 0.04). Most minor items except location were often missed even after learning. Conclusion: Education is imperative for standardizing EEG descriptions. As such, developing educational modules that emphasize minor items including prevalence, frequency, duration, and amplitude will broaden the recognition of EEG features, improving the quality of future research and patient care.

Indexed as

American Clinical Neurophysiology Society standardized terminologyEducationElectroencephalography

Identifiers

PMID41029955
PMCPMC12554387

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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.