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Record W2049890899 · doi:10.1176/appi.ajp.159.1.136

Use of Atypical Antipsychotics During Pregnancy and the Risk of Neural Tube Defects in Infants

2002· article· en· W2049890899 on OpenAlexaff
Gideon Koren, Tony Cohn, David Chitayat, Bhushan Kapur, Gary Remington, Diane Reid, Robert B. Zipursky

Bibliographic record

VenueAmerican Journal of Psychiatry · 2002
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsNeural tubeMedicineOverweightPregnancyBody mass indexPediatricsSchizophrenia (object-oriented programming)ObesityNeural tube defectWeight gainObstetricsInternal medicineBody weightPsychiatryFetusBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: Folate deficiency in early pregnancy and maternal adiposity, independent of folate intake, lead to a greater risk of neural tube defects in infants. Atypical antipsychotics cause various degrees of weight gain. The authors assessed folate status and obesity among patients with schizophrenia receiving atypical antipsychotics. METHOD: A sample of 70 inpatients and outpatients (21 of them women) who were taking antipsychotics was randomly selected. Body weight, body mass index, daily folate intake, and folate serum concentrations were determined. RESULTS: The majority of the patients were overweight. Only eight of 37 patients had folate intake above 400 microg/day, the level shown to be protective against neural tube defects. Mean serum folate was significantly lower than in a general hospital group of 810 patients. CONCLUSIONS: Women with schizophrenia who take atypical antipsychotics have a higher risk of neural tube defects in their infants because of the associated low intake of folate and obesity.

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 score0.007
Threshold uncertainty score0.295

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 head0.017
GPT teacher head0.270
Teacher spread0.254 · 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

Citations75
Published2002
Admission routes1
Has abstractyes

Explore more

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