Use of Atypical Antipsychotics During Pregnancy and the Risk of Neural Tube Defects in Infants
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".