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Record W1997120793 · doi:10.1089/ham.2006.7.81

New Epilepsy Seizure at High Altitude without Signs of Acute Mountain Sickness or High Altitude Cerebral Edema

2006· article· en· W1997120793 on OpenAlexaff
Pascal Daleau, Daniel C. Morgado, Carlos A. Iriarte, Richard Desbiens

Bibliographic record

VenueHigh Altitude Medicine & Biology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsHôpital de l'Enfant-JésusUniversité Laval
Fundersnot available
KeywordsHyperventilationMedicineEffects of high altitude on humansEpilepsyAltitude sicknessCerebral edemaAnesthesiaAltitude (triangle)Hypoxia (environmental)PediatricsPsychiatry

Abstract

fetched live from OpenAlex

Daleau, Pascal, Daniel C. Morgado, Carlos A. Iriarte, and Richard Desbiens. New epilepsy seizure at high altitude without signs of acute mountain sickness or high altitude cerebral edema. High Alt. Med. & Biol. 7:81–83, 2006.—Neurological disturbances may be present at high altitude independently of high altitude cerebral edema. We report here the case of a patient who experienced for the first time generalized seizures after spending a night at an altitude of 5200 m, with no preceding symptoms of acute mountain sickness. An initial CT scan performed 12 hours after his loss of consciousness and an MRI scan performed 2 months later were normal. An EEG, obtained 2 months after the event, showed epileptiform discharges triggered by hyperventilation. The description of the clinical event obtained from the witness and the presence of a positive family history strongly support a high altitude-triggered new epileptic seizure. This report suggests that at high altitudes seizure risks in a seizure-prone person may be higher than for normal individuals.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.266
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations23
Published2006
Admission routes1
Has abstractyes

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