Trial reportJAMA neurology2020
Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures.
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.
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.
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.
Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 145 citations in OpenAlex.
- Pooled it
- 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 · 2021Pooled it
- Is a Video Worth a Thousand EEGs?Epilepsy currents · 2026Article
- Smartphone videos for infantile epileptic spasms triaging and assessment (VISTA study): Impact of education and standardized clinical history on diagnostic accuracy.Epilepsia open · 2026Article
- Diagnostic value of stand-alone videos after inconclusive inpatient EEG-video monitoring.Epilepsia · 2026Article
- Towards generalizable seizure monitoring: EpiVLM for cross-environment detection and classification.NPJ digital medicine · 2026Article
- Diagnostic accuracy of multimodal large language models in differentiating epileptic from functional seizures in smartphone recorded videos.Scientific reports · 2026Article
- Proposed criteria of levels of evidence for co-occurring epilepsy in people with functional/dissociative seizures.Epilepsia · 2026Article
- Verification of Markerless Gait Analysis: Multi-Camera and Single-Camera Approaches in Comparison to Marker-Based Gait Analysis.Medicina (Kaunas, Lithuania) · 2026Article
- Behavior Decoding Delineates Seizure Microfeatures and Associated Sudden Death Risks in Mouse Models of Epilepsy.Annals of neurology · 2026Article
- Seminars in epileptology: Presurgical epilepsy evaluation.Epileptic disorders : international epilepsy journal with videotape · 2025Review
- Machine Learning Methods to Track Dynamic Facial Function in Facial Palsy.IEEE transactions on bio-medical engineering · 2025Article
- Reliability and diagnostic accuracy of home video recording in differentiating sleep-related hypermotor epilepsy from disorders of arousal.Epilepsia · 2025Article
- Pregnancy outcomes and changes to seizure frequency during pregnancy for patients with functional seizures.Epilepsy & behavior : E&B · 2025Article
- Implementation of a digital health tool for seizure video transfer in a pediatric epilepsy center: A prospective pilot study.Epilepsy & behavior reports · 2025Article
- Detection of epileptic spasms using foundational AI and smartphone videos.NPJ digital medicine · 2025Article
- Utility and limitations of homemade videos in differentiating functional seizures from other paroxysmal events: An Italian cohort study.Epilepsia open · 2025Article
- Innovating pediatric epilepsy: transforming diagnosis and treatment with AI.World journal of pediatrics : WJP · 2025Article
- Home video review in a pediatric clinical neurophysiology led multidisciplinary team meeting.Epileptic disorders : international epilepsy journal with videotape · 2025Article
- Smartphone Use in the Management of Neurological Emergencies: A Simulation-Based Study.Neurocritical care · 2024Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 9 institutions in 1 country.
Funding
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.
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Registered trials
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.