Evidence map›Paper›PMID 34870697›Full record

ArticleJAMA neurology2022

Development and Validation of the 5-SENSE Score to Predict Focality of the Seizure-Onset Zone as Assessed by Stereoelectroencephalography.

Alexandra Astner-Rohracher, Georg Zimmermann, Tamir Avigdor, Chifaou Abdallah, Nirav Barot, Milan Brázdil, Irena Doležalová, Jean Gotman, Jeffery Alan Hall, Kirsten Ikeda and 15 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in JAMA neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  5. Toward Unified Biomarkers for Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Seminars in epileptology: Presurgical epilepsy evaluation.Epileptic disorders : international epilepsy journal with videotape · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 12 institutions in 6 countries.

Alexandra Astner-RohracherMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Georg ZimmermannTeam Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University, Salzburg, Austria.
Tamir AvigdorMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Chifaou AbdallahMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Nirav BarotDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Milan BrázdilDepartment of Neurology, Faculty of Medicine, Masaryk University and St Ann's University Hospital, Brno, Czech Republic.
Irena DoležalováDepartment of Neurology, Faculty of Medicine, Masaryk University and St Ann's University Hospital, Brno, Czech Republic.
Jean GotmanMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Jeffery Alan HallMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Kirsten IkedaDalhousie University and Hospital, Division of Neurology, Halifax, Nova Scotia, Canada.
Philippe KahaneCHU Grenoble-Alpes, Université Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, Grenoble, France.
Gudrun KalssDepartment of Neurology, Christian Doppler University Hospital, Centre for Cognitive Neuroscience Paracelsus Medical University Hospital Salzburg, affiliated Member of the Epicare Reference Network, Salzburg, Austria.
Vasileios KokkinosDepartment of Neurosurgery, Massachusetts General Hospital, Boston.
Markus LeitingerDepartment of Neurology, Christian Doppler University Hospital, Centre for Cognitive Neuroscience Paracelsus Medical University Hospital Salzburg, affiliated Member of the Epicare Reference Network, Salzburg, Austria.
Ioana MindrutaNeurology Department, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania.
Lorella MinottiCHU Grenoble-Alpes, Université Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, Grenoble, France.
Mary Margaret MizeraDepartment of Neurology, Northwestern University, Chicago, Illinois.
Irina OaneNeurology Department, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania.
Mark RichardsonDepartment of Neurosurgery, Massachusetts General Hospital, Boston.
Stephan U SchueleDepartment of Neurology, Northwestern University, Chicago, Illinois.
Eugen TrinkaDepartment of Neurology, Christian Doppler University Hospital, Centre for Cognitive Neuroscience Paracelsus Medical University Hospital Salzburg, affiliated Member of the Epicare Reference Network, Salzburg, Austria.
Alexandra UrbanDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Benjamin WhatleyDalhousie University and Hospital, Division of Neurology, Halifax, Nova Scotia, Canada.
François DubeauMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Birgit FrauscherMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
Montreal Neurological Institute and Hospital · CAParacelsus Medical University · ATCarol Davila University of Medicine and Pharmacy · RODalhousie University · CAMasaryk University · CZMassachusetts General Hospital · USMcGill University · CANorthwestern University · USUniversity of Pittsburgh · USCentre Hospitalier Universitaire de Grenoble · FRGrenoble Institute of Neurosciences · FRUMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Stereoelectroencephalography (SEEG) has become the criterion standard in case of inconclusive noninvasive presurgical epilepsy workup. However, up to 40% of patients are subsequently not offered surgery because the seizure-onset zone is less focal than expected or cannot be identified. Objective: To predict focality of the seizure-onset zone in SEEG, the 5-point 5-SENSE score was developed and validated. Design, Setting, and Participants: This was a monocentric cohort study for score development followed by multicenter validation with patient selection intervals between February 2002 to October 2018 and May 2002 to December 2019. The minimum follow-up period was 1 year. Patients with drug-resistant epilepsy undergoing SEEG at the Montreal Neurological Institute were analyzed to identify a focal seizure-onset zone. Selection criteria were 2 or more seizures in electroencephalography and availability of complete neuropsychological and neuroimaging data sets. For validation, patients from 9 epilepsy centers meeting these criteria were included. Analysis took place between May and July 2021. Main Outcomes and Measures: Based on SEEG, patients were grouped as focal and nonfocal seizure-onset zone. Demographic, clinical, electroencephalography, neuroimaging, and neuropsychology data were analyzed, and a multiple logistic regression model for developing a score to predict SEEG focality was created and validated in an independent sample. Results: A total of 128 patients (57 women [44.5%]; median [range] age, 31 [13-58] years) were analyzed for score development and 207 patients (97 women [46.9%]; median [range] age, 32 [16-70] years) were analyzed for validation. The score comprised the following 5 predictive variables: focal lesion on structural magnetic resonance imaging, absence of bilateral independent spikes in scalp electroencephalography, localizing neuropsychological deficit, strongly localizing semiology, and regional ictal scalp electroencephalography onset. The 5-SENSE score had an optimal mean (SD) probability cutoff for identifying a focal seizure-onset zone of 37.6 (3.5). Area under the curve, specificity, and sensitivity were 0.83, 76.3% (95% CI, 66.7-85.8), and 83.3% (95% CI, 72.30-94.1), respectively. Validation showed 76.0% (95% CI, 67.5-84.0) specificity and 52.3% (95% CI, 43.0-61.5) sensitivity. Conclusions and Relevance: High specificity in score development and validation confirms that the 5-SENSE score predicts patients where SEEG is unlikely to identify a focal seizure-onset zone. It is a simple and useful tool for assisting clinicians to reduce unnecessary invasive diagnostic burden on patients and overutilization of limited health care resources.

Indexed as

ElectroencephalographyCohort StudiesEpilepsyFemaleHumansMalePreoperative CareSeizuresSurveys and Questionnaires

Identifiers

PMID34870697
PMCPMC8649918
OpenAlexW4200149733

What OpenQuestion holds

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Registered trials

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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.