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Record W2110711102

Major malformations with valproic acid.

2006· review· en· W2110711102 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePubMed · 2006
Typereview
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsValproic AcidNeural tubeMedicineEpilepsyCongenital malformationsPopulationCohortSpina bifidaCohort studyRelative riskPediatricsPregnancyBioinformaticsPsychiatryInternal medicineEnvironmental healthConfidence intervalBiologyEmbryo
DOInot available

Abstract

fetched live from OpenAlex

QUESTION: Increasing numbers of pregnant patients are treated with valproic acid, not just for epilepsy, but also for psychiatric conditions. Are there teratogenic risks other than the risk of spina bifida? ANSWER: It has now become evident that valproic acid might cause more than just neural tube defects (NTDs). In a systematic review of all cohort studies intended to answer this question, higher rates of major malformations (and not just NTDs) were found in most studies. The calculated relative risk was 2.59 when compared with other antiepileptic drugs and was 3.77 when compared with risk in the general population. There is compelling evidence that the risk is dose dependent. The risks appear to begin increasing at doses of 600 mg/d and to become more prominent at doses above 1000 mg/d.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.666

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 head0.075
GPT teacher head0.330
Teacher spread0.255 · 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