Bibliographic record
Abstract
Background: There have been reports that maternal use of selective serotonin reuptake inhibitors (SSRIs) in late pregnancy is associated with neonatal complications, in particular respiratory distress. Given the sparse data available, and the lack of clinical trials assessing efficacy and safety of the use of SSRIs in pregnant women, we conducted a review of the birth records of children born to mothers who were patients at a tertiary care reproductive mental health clinic. Methods: Data were abstracted from both maternal and infant hospital charts. Outcomes of neonates whose mothers used SSRIs in late pregnancy [LP] (N=140), used SSRIs only in early pregnancy [EP] (N=45), or did not use SSRIs during pregnancy [NP] (N=215) were compared using nonparametric tests. Results: No significant differences between groups were found in frequency of respiratory distress, tachycardia, irritability, admission to neonatal intensive care unit, major or minor malformations. Similar results were observed when only mothers with significant symptoms of depression (Edinburgh Postnatal Depression Scale scores ≥ 11) were considered. Conclusions: In this sample, maternal use of SSRI antidepressants in late pregnancy was not associated with neonatal events of clinical significance. Notwithstanding, the findings are limited by a modest sample size and retrospective design. Additional research, including careful documentation of SSRI exposure and standardized assessment of neonates, is urgently required to aid risk-benefit decision making in treating pregnant women with depression. References: (1) Moses-Kolko EL, Bogen D, Perel J, Bregar A, Uhi K. Levin B, Wisner KL. Neonatal signs after late in utero exposure to serotonin reuptake inhibitors: literature review and implications for clinical applications. JAMA. 2005; 293:2372–83. (2) Koren G, Matsui D, Einarson A, Knoppert D, Steiner M. Is maternal use of selective serotonin reuptake inhibitors in the third trimester of pregnancy harmful to neonates? Canadian Medical Association Journal, 2005; 172:1457–9.
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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 | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".