Evidence map›Paper›PMID 31961382›Full record

Trial reportJAMA neurology2020

Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures.

William O Tatum, Lawrence J Hirsch, Michael A Gelfand, Emily K Acton, W Curt LaFrance, Robert B Duckrow, David K Chen, Andrew S Blum, John D Hixson, Joe F Drazkowski and 3 more

Open access · bronzeAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in JAMA neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
14.2field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 145 citations in OpenAlex.

  1. Pooled it
  2. Clinical utility of home videos for diagnosing epileptic seizures: a systematic review and practical recommendations for optimal and safe recording.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
  3. Is a Video Worth a Thousand EEGs?Epilepsy currents · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Seminars in epileptology: Presurgical epilepsy evaluation.Epileptic disorders : international epilepsy journal with videotape · 2025
    Review
  12. Machine Learning Methods to Track Dynamic Facial Function in Facial Palsy.IEEE transactions on bio-medical engineering · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Home video review in a pediatric clinical neurophysiology led multidisciplinary team meeting.Epileptic disorders : international epilepsy journal with videotape · 2025
    Article
  20. Observational
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

13 authors at 9 institutions in 1 country.

William O TatumDepartment of Neurology, Mayo Clinic, Jacksonville, Florida.
Lawrence J HirschDepartment of Neurology, Yale University, New Haven, Connecticut.
Michael A GelfandDepartment of Neurology, University of Pennsylvania, Philadelphia.
Emily K ActonDepartment of Neurology, University of Pennsylvania, Philadelphia.
W Curt LaFranceDepartment of Neurology, Brown University, Providence, Rhode Island.
Robert B DuckrowDepartment of Neurology, Yale University, New Haven, Connecticut.
David K ChenDepartment of Neurology, Baylor College of Medicine, Houston, Texas.
Andrew S BlumDepartment of Neurology, Brown University, Providence, Rhode Island.
John D HixsonUniversity of California, San Francisco, San Francisco.
Joe F DrazkowskiDepartment of Neurology, Mayo Clinic, Phoenix, Arizona.
Selim R BenbadisDepartment of Neurology, University of South Florida, Tampa.
Gregory D CascinoDepartment of Neurology, Mayo Clinic, Rochester, Minnesota.
OSmartViE Investigators
Brown University · USUniversity of Pennsylvania · USYale University · USBaylor College of Medicine · USJacksonville College · USMayo Clinic · USMayo Clinic Hospital · USUniversity of California, San Francisco · USUniversity of South Florida · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Importance: Misdiagnosis of epilepsy is common. Video electroencephalogram provides a definitive diagnosis but is impractical for many patients referred for evaluation of epilepsy. Objective: To evaluate the accuracy of outpatient smartphone videos in epilepsy. Design, Setting, and Participants: This prospective, masked, diagnostic accuracy study (the OSmartViE study) took place between August 31, 2015, and August 31, 2018, at 8 academic epilepsy centers in the United States and included a convenience sample of 44 nonconsecutive outpatients who volunteered a smartphone video during evaluation and subsequently underwent video electroencephalogram monitoring. Three epileptologists uploaded videos for physicians from the 8 epilepsy centers to review. Main Outcomes and Measures: Measures of performance (accuracy, sensitivity, specificity, positive predictive value, and negative predictive value) for smartphone video-based diagnosis by experts and trainees (the index test) were compared with those for history and physical examination and video electroencephalogram monitoring (the reference standard). Results: Forty-four eligible epilepsy clinic outpatients (31 women [70.5%]; mean [range] age, 45.1 [20-82] years) submitted smartphone videos (530 total physician reviews). Final video electroencephalogram diagnoses included 11 epileptic seizures, 30 psychogenic nonepileptic attacks, and 3 physiologic nonepileptic events. Expert interpretation of a smartphone video was accurate in predicting a video electroencephalogram monitoring diagnosis of epileptic seizures 89.1% (95% CI, 84.2%-92.9%) of the time, with a specificity of 93.3% (95% CI, 88.3%-96.6%). Resident responses were less accurate for all metrics involving epileptic seizures and psychogenic nonepileptic attacks, despite greater confidence. Motor signs during events increased accuracy. One-fourth of the smartphone videos were correctly diagnosed by 100% of the reviewing physicians, composed solely of psychogenic attacks. When histories and physical examination results were combined with smartphone videos, correct diagnoses rose from 78.6% to 95.2%. The odds of receiving a correct diagnosis were 5.45 times greater using smartphone video alongside patient history and physical examination results than with history and physical examination alone (95% CI, 1.01-54.3; P = .02). Conclusions and Relevance: Outpatient smartphone video review by experts has predictive and additive value for diagnosing epileptic seizures. Smartphone videos may reliably aid psychogenic nonepileptic attacks diagnosis for some people.

Indexed as

SmartphoneVideo RecordingAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedOutpatientsSeizuresTelemedicineYoung Adult

Identifiers

PMID31961382
PMCPMC6990754
OpenAlexW3003110114

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.