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Record W2989872616 · doi:10.4103/aian.aian_503_18

Neuro-developmental and epilepsy outcomes of children with west syndrome: A cross-sectional study from North India

2019· article· en· W2989872616 on OpenAlexaff
Suvasini Sharma, Juhi Gupta, Sharmila B. Mukherjee, Puneet Jain, Satinder Aneja

Bibliographic record

VenueAnnals of Indian Academy of Neurology · 2019
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicinePediatricsEpilepsyEtiologyCross-sectional studyPopulationVineland Adaptive Behavior ScaleAsphyxiaCerebral palsyPsychiatryAdaptive behaviorPathology

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess the neurodevelopmental outcome of West syndrome (WS) in Indian children, who differ in their clinical profile from the western population. MATERIALS AND METHODS: This cross-sectional study enrolled children aged 2--5 years with prior diagnosis of WS between November 2013 and March 2015. They were assessed for epilepsy outcome and developmental outcome using developmental profile 3 (DP3) and vineland adaptive behavioral scale II (VABS II). RESULTS: Sixty-one children were enrolled. Perinatal asphyxia (40.9%), neonatal hypoglycemia (14.8%), and neonatal meningitis (9.8%) were predominant causes among the children with known etiology. Favorable epilepsy outcome (seizure freedom for >6 months) was observed in 29/61 patients (47.5%). Moderate to severe developmental delay was observed in 55/61 children (91.8%). Favorable developmental outcome (GDS by DP3 >70) was observed in just 5/61 (8%) patients. CONCLUSIONS: This study highlights the high prevalence of developmental delay in this population of children with WS, with adverse perinatal events being the most common etiology.

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 score0.009
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.036
GPT teacher head0.331
Teacher spread0.295 · 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

Citations14
Published2019
Admission routes1
Has abstractyes

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