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Record W1990398831 · doi:10.4021/jnr.v1i3.40

Nonalcoholic Fatty Liver Disease, Carotid Intima-Media Thickness and Lipid Profile in Epileptic Children

2011· article· en· W1990398831 on OpenAlexvenueno aff
Mahsa Ghajarzadeh, Soheila Borji, Sarvenaz Pourjabbar, Mehdi Mohammadifar, Mahmoud Reza Ashrafi

Bibliographic record

VenueJournal of Neurology Research · 2011
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLipid profileNonalcoholic fatty liver diseaseFatty liverIntima-media thicknessAdverse effectCarbamazepineInternal medicineGastroenterologyBlood lipidsLiver diseaseDiseaseCholesterolEpilepsyCarotid arteries

Abstract

fetched live from OpenAlex

Background : Sodium valporate and carbamazepine are among frequent medications utilized for seizure control in children. Several adverse effects such as fatty liver disease, lipid profile changes and increased Intima-Media Thickness (IMT) were reported among cases who were treated with these medications. Methods : Here we assessed 38 children (under 18) who were treated by sodium valporate and carbamazepine for at least six months for developing adverse effects including fatty liver disease, lipid profile changes and increased IMT. Cases who were treated with two or more antiepileptic-drugs or treated less than six months with each of drugs were excluded. Fasting venous blood sample drawn andradiologic evaluation of liver and both carotid arteries by two independent individuals performed. Results : We found fatty liver disease in five patients who were treated with sodium valporate and lower White Blood Cell (WBC) count in carbamazepine group. Lipid profiles and IMT of both carotid arteries were not significantly different between groups. Conclusion : Children who are treated with sodium valproate would be better to be carefully assessed by sonographic modalities for developing fatty liver as an adverse effect of the drug. doi:10.4021/jnr40w

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)0.002
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.124
GPT teacher head0.371
Teacher spread0.248 · 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
Published2011
Admission routes1
Has abstractyes

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