MétaCan
Menu
Back to cohort
Record W1979532972 · doi:10.1177/0883073807307082

Deterioration in Cognitive Function in Children With Benign Epilepsy of Childhood With Central Temporal Spikes Treated With Sulthiame

2007· article· en· W1979532972 on OpenAlexaff
Elaine Wirrell, Elisabeth M. S. Sherman, Robert Vanmastrigt, Lorie Hamiwka

Bibliographic record

VenueJournal of Child Neurology · 2007
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineEpilepsyAudiologyCognitionPediatricsAmbulatoryPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this study was to determine if reduction in spike frequency in children with benign epilepsy of childhood with centrotemporal spikes treated with sulthiame correlates with improved neuropsychologic function. Six untreated children (5 boys, 1 girl) with a mean (standard deviation) age of 9.1 years (1.5 years) underwent overnight ambulatory electroencephalograph recording and neuropsychologic evaluation at baseline and after 6 months of sulthiame monotherapy. The Reliable Change Index was used to determine whether a statistically reliable change in neuropsychologic function occurred. All children continued receiving sulthiame monotherapy (dose range, 8.0-9.3 mg/kg per day) for the study period without further seizures. Although spike frequency was reduced in all 6 children (3 showing a decrease to less than 10% of baseline), they all demonstrated significant deterioration in their reading ability, 5 had significant declines in general memory, and more than half had reduction in attention skills and mathematics ability. Although sulthiame was effective at seizure control and significantly reduced spike frequency in children, it was also associated with deterioration in cognitive function.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.009
GPT teacher head0.251
Teacher spread0.243 · 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 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

Citations82
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Child NeurologySame topicEpilepsy research and treatmentFrench-language works237,207