Evidence map›Paper›PMID 33709264›Full record

SynthesisCanadian journal of anaesthesia = Journal canadien d'anesthesie2021

Educational initiatives for electroencephalography in the critical care setting: a systematic review and meta-analysis.

Shaurya Taran, Wael Ahmed, Ruxandra Pinto, Esther Bui, Lara Prisco, Cecil D Hahn, Marina Englesakis, Victoria A McCredie

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Canadian journal of anaesthesia = Journal canadien d'anesthesie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Inter-Rater Reliability of EEG-Based Encephalopathy Grading.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
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

8 authors at 4 institutions in 2 countries.

Shaurya TaranInterdepartmental Division of Critical Care Medicine, Department of Medicine, Li Ka Shing Knowledge Institute, University of Toronto, 204 Victoria Street, 4th Floor Room 411, Toronto, ON, M5B 1T8, Canada. Shaurya.taran@mail.utoronto.ca.ORCID http://orcid.org/0000-0001-7639-0365
Wael AhmedDepartment of Critical Care Medicine, Sunnybrook Health Sciences Center, Toronto, ON, Canada.
Ruxandra PintoDepartment of Critical Care Medicine, Sunnybrook Health Sciences Center, Toronto, ON, Canada.
Esther BuiDivision of Neurology, University Health Network, Toronto, ON, Canada.
Lara PriscoNeurosciences Intensive Care Unit, John Radcliffe Hospital, Oxford, UK.
Cecil D HahnDivision of Neurology, The Hospital for Sick Children, and Department of Pediatrics, University of Toronto, Toronto, ON, Canada.
Marina EnglesakisLibrary and Information Services, University Health Network, Toronto, ON, Canada.
Victoria A McCredieInterdepartmental Division of Critical Care Medicine, Department of Medicine, Li Ka Shing Knowledge Institute, University of Toronto, 204 Victoria Street, 4th Floor Room 411, Toronto, ON, M5B 1T8, Canada.
Sunnybrook Health Science Centre · CAUniversity Health Network · CAUniversity of Toronto · CAJohn Radcliffe Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe systematically reviewed existing critical care electroencephalography (EEG) educational programs for non-neurologists, with the primary goal of reporting the content covered, methods of instruction, overall duration, and participant experience. Our secondary goals were to assess the impact of EEG programs on participants' core knowledge, and the agreement between non-experts and experts for seizure identification. SOURCE: Major databases were searched from inception to 30 August 2020. Randomized controlled trials, cohort studies, and descriptive studies were all considered if they reported an EEG curriculum for non-neurologists in a critical care setting. Data were presented thematically for the qualitative primary outcome and a meta-analysis using a random effects model was performed for the quantitative secondary outcomes. PRINCIPAL

findingsTwenty-nine studies were included after reviewing 7,486 citations. Twenty-two studies were single centre, 17 were from North America, and 16 were published after 2016. Most EEG studies were targeted to critical care nurses (17 studies), focused on processed forms of EEG with amplitude-integrated EEG being the most common (15 studies), and were shorter than one day in duration (24 studies). In pre-post studies, EEG programs significantly improved participants' knowledge of tested material (standardized mean change, 1.79; 95% confidence interval [CI], 0.86 to 2.73). Agreement for seizure identification between non-experts and experts was moderate (Cohen's kappa = 0.44; 95% CI, 0.27 to 0.60).

conclusionsIt is feasible to teach basic EEG to participants in critical care settings from different clinical backgrounds, including physicians and nurses. Brief training programs can enable bedside providers to recognize high-yield abnormalities such as non-convulsive seizures.

Indexed as

Critical CarePhysiciansClinical CompetenceElectroencephalographyHumansSeizuresbrain injuriescritical careelectroencephalographymedical educationneurophysiologyseizures

Identifiers

PMID33709264
PMCPMC7952081
OpenAlexW3133687431

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.