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Record W2998184740 · doi:10.1684/epd.2019.1118

Ictal asystole with intercurrent cardiopathy: a complex combination leading to delayed diagnosis

2019· article· en· W2998184740 on OpenAlexaff
Dènahin Hinnoutondji Toffa, Raluca Pana, Dang Khoa Nguyen

Bibliographic record

VenueEpileptic Disorders · 2019
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsMcGill UniversityCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsAsystoleIctalMedicineComplex partial seizuresCardiologyElectroencephalographyAnesthesiaEpilepsyPsychiatryTemporal lobe

Abstract

fetched live from OpenAlex

Ictal asystole is a rare epileptic phenomenon, though usually self-limiting, which has been associated with an increased risk of sudden death in epileptic patients. Although early recognition is desirable, the diagnosis can be delayed until prolonged video-EEG monitoring is completed. We report a case of ictal asystole in a 74-year-old patient with co-morbid cardiac conditions leading to a delay in diagnosis of approximately 10 years. Indeed, multiple cardiac investigations and EEGs failed to reveal that the recurrent syncope was seizure induced. A detailed description of the case with an emphasis on the prolonged diagnostic process, as well as the clinical and EEG findings, is provided. This case highlights the complexity of the diagnosis of some ictal asystole cases and the need to perform continuous video-EEG monitoring for confirmation. [Published with video sequence].

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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.

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

Citations2
Published2019
Admission routes1
Has abstractyes

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