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Record W2044795877 · doi:10.1517/14740338.4.2.273

The safety of antidepressant use in pregnancy

2005· review· en· W2044795877 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

VenueExpert Opinion on Drug Safety · 2005
Typereview
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineAntidepressantPregnancyDepression (economics)PsychiatryDrugs in pregnancyIntensive care medicineFetusAnxiety

Abstract

fetched live from OpenAlex

Depression during pregnancy affects an estimated 10 - 20% of women, some of whom will require treatment with antidepressants. It is of great importance that the safety of this particular class of drugs is reviewed, to ensure the optimal treatment of the mother while protecting her unborn child. In this review, current safety data on all available antidepressants are discussed in detail, including the pharmacokinetics of the maternal-fetal unit and the epidemiological studies that have been published to date. The classes of antidepressants discussed include: tricyclics, selective serotonin re-uptake inhibitors and other antidepressants. After reviewing these studies, it is evident that these drugs appear to be relatively safe to take during pregnancy. This evidence-based information will be helpful to women and their healthcare providers, when the decision of whether or not to treat with anti-depressants during pregnancy must be made.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.070
GPT teacher head0.388
Teacher spread0.318 · 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