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Record W1904267969 · doi:10.3233/jpn-2012-0536

Prevalence, syndromes and severity of childhood epilepsy in Cuba

2012· article· en· W1904267969 on OpenAlexaff
Nicolás Garófalo Gómez, Ana María Gómez García, Otman Fernández Concepción, Carol Camfield, Peter Camfield

Bibliographic record

VenueJournal of Pediatric Neurology · 2012
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsEpilepsyMedicineEtiologyPediatricsPopulationEpilepsy in childrenEpilepsy syndromesEpidemiologyGeneralized epilepsyPrevalencePsychiatryEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this study is to document the prevalence of childhood-onset epilepsy in Cuba. In 2008, we used a comprehensive pharmacy registry from Plaza municipality (population 155,516) in Havana to identify all children with active epilepsy treated with antiepileptic drugs. We examined 103 of 108 possible cases for confirmation of diagnosis (final n = 73). The study was population-based study and defined the point prevalence, distribution of syndromes and severity of childhood epilepsy. The prevalence of active childhood-onset epilepsy on December 31, 2008 was 3.1/1,000. Major syndrome categories were focal 77% and generalized 14.3% with 31% considered idiopathic, 43% symptomatic and 26% cryptogenic. Most (73%) had good seizure control and those with worse seizure control were more likely to have behavior disorders, a defined etiology and focal epilepsy. The point prevalence of childhood-onset epilepsy in Cuba is low. It is possible that the Cuban health care system contributes to low prevalence that is similar to that of developed countries.

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 score0.005
Threshold uncertainty score0.259

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)0.0000.000

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 head0.016
GPT teacher head0.287
Teacher spread0.271 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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