Safety of fluoxetine during the first trimester of pregnancy: a meta-analytical review of epidemiological studies
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.
Bibliographic record
Abstract
BACKGROUND: This study was designed to examine whether there is an increased risk for major malformations following the use of fluoxetine during the first trimester of pregnancy. METHODS: Published and unpublished reports were identified through computerized and manual searches of bibliographical databases, reference lists from primary articles, and letters to editors, agencies, foundations and content experts. Meta-analysis was undertaken of prospective controlled and uncontrolled studies on the use of fluoxetine during first trimester of pregnancy. RESULTS: The pooled relative risk and 95% confidence interval for major malformations does not suggest an association between the use of fluoxetine during the first trimester and an increased risk of major malformations. Combination of controlled and uncontrolled studies shows a weighted risk of 26% (95% CI 1-4.2%). The summary odds ratio from the two controlled studies (OR = 1.33, 95% CI 0.49-3.58) was not significant. Homogeneity testing shows that the effect sizes are similar throughout all studies. Power analysis indicates that 26 controlled studies of similar size, would be required, to reverse this finding. CONCLUSIONS: The use of fluoxetine during the first trimester of pregnancy is not associated with measurable teratogenic effects in human.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it