Evidence map›Paper›PMID 37034596›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Perceived seizure risk in epilepsy â€" Chronic electronic surveys with and without concurrent EEG.

Jie Cui, Irena Balzekas, Ewan Nurse, Pedro Viana, Nicholas Gregg, Philippa Karoly, Gregory Worrell, Mark P Richardson, Dean R Freestone, Benjamin H Brinkmann

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 4 countries.

Jie CuiDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Irena BalzekasDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Ewan NurseSeer Medical, Melbourne, Australia.
Pedro VianaSchool of Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
Nicholas GreggDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Philippa KarolyDepartment of Medicine, St. Vincent's Hospital Melbourne, University of Melbourne, Melbourne, Australia.
Gregory WorrellDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Mark P RichardsonSchool of Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
Dean R FreestoneSeer Medical, Melbourne, Australia.
Benjamin H BrinkmannDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Mayo Clinic · USThe University of Melbourne · AUKing's College London · GBUniversity of Lisbon · PT

Funding

Optimizing Pharmacotherapy with Noninvasive Wearable Sensors and Subscalp EEGUG3NS123066 · NINDS · MAYO CLINIC ROCHESTER · PI BRINKMANN, BENJAMIN H, WORRELL, GREGORY A · 2022 to 2024
$1.2M
NINDS NIH HHS UG3 NS123066
6 · The paper itself

Abstract

Objective: Previous studies suggested that patients with epilepsy might be able to fore-cast their own seizures. We sought to assess the relationships of premonitory symptoms and perceived seizure risk with future and recent self-reported and EEG-confirmed seizures in the subjects living with epilepsy in their natural home environments. Methods: We collected long-term e-surveys from ambulatory patients with and without concurrent EEG recordings. Information obtained from the e-surveys included medication compliance, sleep quality, mood, stress, perceived seizure risk and seizure occurrences preceding the survey. EEG seizures were identified. Univariate and multivariate generalized linear mixed-effect regression models were used to estimate odds ratios (ORs) for the assessment of the relationships. Results were compared with device seizure forecasting literature using a mathematical formula converting OR to equivalent area under the curve (AUC). Results: Sixty-nine subjects returned 12,590 e-survey entries, with four subjects acquiring concurrent EEG recordings. Univariate analysis revealed increased stress (OR = 2.52, 95% CI = [1.52, 4.14], Significance: It appears that patients may tend to self-forecast seizures that occur in sequential groupings. Our results suggest that low mood and increased stress may be the result of previous seizures rather than independent premonitory symptoms. Patients in the small cohort with concurrent EEG showed no ability to self-predict EEG seizures. The conversion from OR to AUC values facilitates direct comparison of performance between survey and device studies involving survey premonition and forecasting. Key points: Long-term e-surveys data and concurrent EEG signals were collected across three study sites to assess the ability of the patients to self-forecast their seizures.Patients may tend to self-forecast self-reported seizures that occur in sequential groupings.Factors, such as mood and stress, may not be independent premonitory symptoms but may be the consequence of recent seizures.No ability to self-forecast EEG confirmed seizures was observed in a small cohort with concurrent EEG validation.A mathematic relation between OR and AUC provides a means to compare forecasting performance between survey and device studies.

Identifiers

PMID37034596
PMCPMC10081426
OpenAlexW4361217548

What OpenQuestion holds

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LicenceCC BY-ND
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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.