Atypical antipsychotic use during the first trimester of pregnancy may not increase major malformations
Bibliographic record
Abstract
McKenna K, Koren G, Tetelbaum M, et al . Pregnancy outcome of women using atypical antipsychotic drugs: A prospective comparative study. J Clin Psychiatry 2005;66:444–9.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Do antipsychotics negatively affect birth outcomes if taken during pregnancy? ### ![Graphic][5] Design: Prospective cohort study. ### ![Graphic][6] Follow up period: Until birth. ### ![Graphic][7] Setting: Three drug safety monitoring and advice services (Motherisk Program, Canada; Israeli Teratogen Information Service, Jerusalem, Israel; Drug Safety Research Unit, UK); time period not specified. ### ![Graphic][8] People: 151 pregnant women who took atypical antipsychotics in their first trimester (olanzapine n = 60; risperidone n = 49; quetiapine n = 36; clozapine n = 6). 151 age and gestational stage matched pregnant women not exposed to antipsychotics (controls). Controls were recruited when they contacted the Canadian centre for advice on exposure to non-teratogenic agents. ### ![Graphic][9] Risk factors: Taking atypical antipsychotics during the first trimester of pregnancy. ### ![Graphic][10] Outcomes: Major malformations in babies; spontaneous or therapeutic abortion; birth weight; premature births (<37 weeks gestation). More women exposed to antipsychotics … [1]: {openurl}?query=rft.jtitle%253DThe%2BJournal%2Bof%2Bclinical%2Bpsychiatry%26rft.stitle%253DJ%2BClin%2BPsychiatry%26rft.aulast%253DMcKenna%26rft.auinit1%253DK.%26rft.volume%253D66%26rft.issue%253D4%26rft.spage%253D444%26rft.epage%253D449%26rft.atitle%253DPregnancy%2Boutcome%2Bof%2Bwomen%2Busing%2Batypical%2Bantipsychotic%2Bdrugs%253A%2Ba%2Bprospective%2Bcomparative%2Bstudy.%26rft_id%253Dinfo%253Adoi%252F10.4088%252FJCP.v66n0406%26rft_id%253Dinfo%253Apmid%252F15816786%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.4088/JCP.v66n0406&link_type=DOI [3]: /lookup/external-ref?access_num=15816786&link_type=MED&atom=%2Febmental%2F8%2F4%2F115.atom [4]: /lookup/external-ref?access_num=000228491400006&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif
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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 | 0.001 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".