Evidence map›Paper›PMID 31179946›Full record

ArticleInternational journal of emergency medicine2019

Improving the ability of ED physicians to identify subclinical/electrographic seizures on EEG after a brief training module.

Geetha Chari, Kabir Yadav, Daniel Nishijima, Ahmet Omurtag, Shahriar Zehtabchi

Open access · goldAbstract read
In one paragraph

Article in International journal of emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Detecting Seizures and Epileptiform Abnormalities in Acute Brain Injury.Current neurology and neuroscience reports · 2020
    Review
  10. Article
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

5 authors at 3 institutions in 2 countries.

Geetha ChariDepartment of Neurology, SUNY Downstate Medical Center, Brooklyn, NY, USA. Geetha.Chari@downstate.edu.ORCID http://orcid.org/0000-0002-3823-3534
Kabir YadavDepartment of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA.
Daniel NishijimaDepartment of Emergency Medicine, University of California at Davis Health System, Sacramento, CA, USA.
Ahmet OmurtagNottingham Trent University, Nottingham, UK.
Shahriar ZehtabchiDepartment of Emergency Medicine, SUNY Downstate Medical Center, Brooklyn, NY, USA.
SUNY Downstate Health Sciences University · USNottingham Trent University · GBUCLA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 5% of emergency department (ED) patients with altered mental status (AMS) have non-convulsive seizures (NCS). Patients with NCS should be diagnosed with EEG as soon as possible to initiate antiepileptic treatment. Since ED physicians encounter such patients first in the ED, they should be familiar with general EEG principles as well as the EEG patterns of NCS/NCSE. We evaluated the utility of a brief training module in enhancing the ED physicians' ability to identify seizures on EEG.

methodsThis was a randomized controlled trial conducted in three academic institutions. A slide presentation was developed describing the basic principles of EEG including EEG recording techniques, followed by characteristics of normal and abnormal patterns, the goal of which was to familiarize the participants with EEG seizure patterns. We enrolled board-certified emergency medicine physicians into the trial. Subjects were randomized to control or intervention groups. Participants allocated to the intervention group received a self-learning training module and were asked to take a quiz of EEG snapshots after reviewing the presentation, while the control group took the quiz without the training.

resultsA total of 30 emergency physicians were enrolled (10 per site, with 15 controls and 15 interventions). Participants were 52% male with median years of practice of 9.5 years (3, 14). The percentage of correct answers in the intervention group (65%, 63% and 75%) was significantly different (p = 0.002) from that of control group (50%, 45% and 60%).

conclusionsA brief self-learning training module improved the ability of emergency physicians in identifying EEG seizure patterns.

Indexed as

EEGEmergency departmentNon-convulsive seizuresTraining

Identifiers

PMID31179946
PMCPMC6437897
OpenAlexW2936301746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.