Evidence map›Paper›PMID 38669007›Full record

Trial reportEpileptic disorders : international epilepsy journal with videotape2024

A randomized controlled educational pilot trial of interictal epileptiform discharge identification for neurology residents.

Fábio A Nascimento, Jin Jing, Christopher Traner, Wan Yee Kong, Marcia Olandoski, Srishti Kapur, Erik Duhaime, Roy Strowd, Jeremy Moeller, M Brandon Westover

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Epileptic disorders : international epilepsy journal with videotape, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Utility of the IFCN criteria for identifying interictal epileptiform discharges by experts: A decision hygiene approach to improve inter-rater reliability.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
    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

10 authors.

Fábio A NascimentoDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-7161-6385
Jin JingDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Christopher TranerDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Wan Yee KongDepartment of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Marcia OlandoskiSchool of Medicine, Pontifícia Universidade Católica Do Paraná, Curitiba, Brazil.
Srishti KapurCentaur Labs, Boston, Massachusetts, USA.
Erik DuhaimeCentaur Labs, Boston, Massachusetts, USA.
Roy StrowdDepartment of Neurology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Jeremy MoellerDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
M Brandon WestoverDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Late-onset Unexplained Epilepsy as a Risk Factor for DementiaR01NS130119 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Alice D Lam · 2023 to 2026
$8.7M
Data-Driven Sleep Biomarkers of Brain Health, Heart Health, and MortalityR01HL161253 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CLIFFORD, GARI DAVID, MIGNOT, EMMANUEL J · 2022 to 2025
$8.3M
Comparative Safety of Seizure Prophylaxis within the Medicare ProgramR01AG073410 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Lidia Maria Veras Rocha de Moura · 2021 to 2026
$4.1M
Low Neurophysiologic Resistance to Anesthetics as a Marker of Preclinical/Prodromal Alzheimer's Disease and Neurovascular Pathology, Delirium risk and InattentionR01AG073598 · NIA · STANFORD UNIVERSITY · PI Miles Berger · 2022 to 2026
$3.8M
Integrative Motor Activity Biomarker for the Risk of Alzheimer's RiskRF1AG064312 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, KUN · 2019 to 2019
$3.6M
Multimodal Network Connectivity Architecture (MOCA) of the Brain and its Role in the Recovery of Consciousness in Comatose Cardiac Arrest PatientsR01NS102574 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GREER, DAVID MATTHEW, WU, ONA · 2018 to 2022
$3.4M
Investigation of Sleep in the Intensive Care Unit (ICU-SLEEP)R01NS102190 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$3.2M
Prospective Validation of Neurophysiologic Outcome Prediction in Acute Brain InjuryR01NS126282 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Aaron F Struck, Michael Brandon Westover · 2023 to 2026
$2.9M
Big Data and Deep Learning for the Interictal-Ictal-Injury ContiuumR01NS107291 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI WESTOVER, MICHAEL BRANDON · 2018 to 2022
$2.8M
Establishing a Brain Health Index from the Sleep ElectroencephalogramRF1NS120947 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S, THOMAS, ROBERT JOSEPH · 2021 to 2021
$2.4M
NHLBI NIH HHS R01 HL161253NIA NIH HHS R01 AG073410NIA NIH HHS R01 AG073598NIA NIH HHS RF1 AG064312NINDS NIH HHS R01 NS102190NINDS NIH HHS R01 NS102574NINDS NIH HHS R01 NS107291NINDS NIH HHS R01 NS126282NINDS NIH HHS R01 NS130119NINDS NIH HHS RF1 NS120947
6 · The paper itself

Abstract

objectiveTo assess the effectiveness of an educational program leveraging technology-enhanced learning and retrieval practice to teach trainees how to correctly identify interictal epileptiform discharges (IEDs).

methodsThis was a bi-institutional prospective randomized controlled educational trial involving junior neurology residents. The intervention consisted of three video tutorials focused on the six IFCN criteria for IED identification and rating 500 candidate IEDs with instant feedback either on a web browser (intervention 1) or an iOS app (intervention 2). The control group underwent no educational intervention ("inactive control"). All residents completed a survey and a test at the onset and offset of the study. Performance metrics were calculated for each participant.

resultsTwenty-one residents completed the study: control (n = 8); intervention 1 (n = 6); intervention 2 (n = 7). All but two had no prior EEG experience. Intervention 1 residents improved from baseline (mean) in multiple metrics including AUC (.74; .85; p < .05), sensitivity (.53; .75; p < .05), and level of confidence (LOC) in identifying IEDs/committing patients to therapy (1.33; 2.33; p < .05). Intervention 2 residents improved in multiple metrics including AUC (.81; .86; p < .05) and LOC in identifying IEDs (2.00; 3.14; p < .05) and spike-wave discharges (2.00; 3.14; p < .05). Controls had no significant improvements in any measure. SIGNIFICANCE: This program led to significant subjective and objective improvements in IED identification. Rating candidate IEDs with instant feedback on a web browser (intervention 1) generated greater objective improvement in comparison to rating candidate IEDs on an iOS app (intervention 2). This program can complement trainee education concerning IED identification.

Indexed as

ElectroencephalographyInternship and ResidencyNeurologyAdultClinical CompetenceEpilepsyFemaleHumansMalePilot ProjectsProspective StudieseducationEEGepileptiform dischargesinterictal epileptiform dischargesInternational Federation of Clinical Neurophysiology criteria to define interictal epileptiform discharges

Identifiers

PMID38669007
PMCPMC11329359

What OpenQuestion holds

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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.