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Record W3002998187 · doi:10.1055/s-0039-1701035

Febrile Infection-Related Epilepsy Syndrome

2019· article· en· W3002998187 on OpenAlexaff
Mandeep Rana, Alcy Torres, Kam‐Lun Ellis Hon, Alexander K. C. Leung, Rinat Jonas

Bibliographic record

VenueJournal of Pediatric Epilepsy · 2019
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsStatus epilepticusEtiologyMedicineEpilepsyPlasmapheresisEpilepsy syndromesIntensive care medicineKetogenic dietPediatricsRefractory (planetary science)ImmunologyPsychiatryAntibody

Abstract

fetched live from OpenAlex

Abstract Febrile infection-related epilepsy syndrome (FIRES) is a subset or variant of new-onset refractory status epilepticus in children. FIRES is characterized by the occurrence of a febrile episode between 24 hours and 2 weeks before the onset of refractory status epilepticus. A infectious cause is rarely identified in FIRES and an inflammatory or autoimmune etiology is implied. Seizures in FIRES are very difficult to control, and treatments include antiepileptic drugs, ketogenic diet, intravenous immunoglobulin, plasmapheresis, and corticosteroid therapy. The prognosis for patients with FIRES is poor, and most children are left with refractory epilepsy and cognitive impairment. The new consensus guidelines on the terminology of FIRES and recent interest in new treatment approaches have been welcome developments for clinicians who face the challenge of diagnosing and managing status epilepticus in a previously healthy child that occurs following a minor febrile episode. This review aims to provide clinicians with an update on the current hypotheses for the etiology, pathogenesis, clinical evaluation, management, and future directions in the diagnosis and treatment of FIRES.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.013
GPT teacher head0.281
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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