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Predictive Factors for Epilepsy in Pediatric Patients with Sturge Weber Syndrome (P3.253)

2016· article· en· W2335799704 on OpenAlexaff
Matsanga Leyila Kaseka, Jonathan Bitton, Philippe Major

Bibliographic record

VenueNeurology · 2016
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsSturge–Weber syndromeEpilepsyMedicinePediatricsEpilepsy syndromesPsychiatry

Abstract

fetched live from OpenAlex

Objective:The aim of this study is to identify potential predictive factors predisposing Sturge Weber patients to epilepsy. Background:Sturge Weber Syndrome (SWS) is a rare neurocutaneous condition characterized by a facial angioma associated with a retinal angioma and/or a cerebral pial angioma. The former can lead to glaucoma and the latter to several neurological problems including refractory epilepsies. Since the pial angioma develops after birth, patients at risk of epilepsy are often not identified until their first seizure. Methods:The medical photography database of our institution has been retrospectively reviewed to identify all patients with a diagnosis of SWS followed between 1993 and 2013. SWS patients with isolated glaucoma were compared to patients with epilepsy regarding the laterality (bilateral vs unilateral) of the facial angioma, its location, the presence of asymmetrical background activity on electroencephalograms (EEG) done prior epilepsy onset and cerebral imaging characteristics. Logistical regression tests and a p value of 0.05 were used. Results:To date, 21 patients with SWS have been identified. 12 of them had isolated glaucoma. No significant difference was noted when patients were compared based on the laterality of the lesion (p=0.169), or the location of the facial angioma (p = 0.314 to 0.999). Only 2 epileptic patients had digital EEG done prior the onset of epilepsy and only 2 patients with glaucoma had digital EEG done during their follow up. No significant difference was noted between EEG background activities in the two groups (p= 0.514). Among cerebral anomalies, the presence of venous drainage anomalies strongly predicted (p = 0.004) the onset of epilepsy. Conclusions:The presence of cerebral venous drainage anomalies greatly increases the risk of epilepsy in SWS patients. Since these anomalies can be detected at birth, they might guide the management regarding follow up and preventive treatment.

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)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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