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Record W2997197192 · doi:10.1684/epd.2019.1110

Prolonged EEGs in adult patients with a first unprovoked seizure: a prospective pilot study

2019· article· en· W2997197192 on OpenAlexafffund
Michelle Shapiro, Gary Foster

Bibliographic record

VenueEpileptic Disorders · 2019
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsImpactMcMaster University
FundersEpilepsy Research Program of the Ontario Brain InstituteEisaiSunovion
KeywordsMedicineEpilepsyProspective cohort studyPediatricsPsychiatrySurgery

Abstract

fetched live from OpenAlex

Definitions of epilepsy have changed to include a first unprovoked seizure with a high (>60%) risk of recurrence in the next 10 years. A single seizure and an epileptiform discharge on an EEG would suffice for this diagnosis. We hypothesized that an extended six-hour EEG in adult patients presenting with a first unprovoked seizure would demonstrate an increased yield of epileptiform discharges in comparison to a standard 30-minute EEG, and therefore higher rates of epilepsy diagnosis. Thirty-eight patients were recruited at Hamilton Health Sciences over six years and 36 underwent extended six-hour EEGs. Two of seven patients demonstrated epileptiform discharges on their EEG after only the first 30 minutes of recording, observed during sleep for both patients. This correlated to an overall increase of 5.56%, or a yield of 29%. A third more patients could benefit from early diagnosis with extended EEGs. The rate of epilepsy diagnosis based on EEG overall was superior to that of brain imaging (19% versus 6%). Given the limitations due to sample size in this study, a larger trial would be beneficial to confirm these findings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.237
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2019
Admission routes2
Has abstractyes

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