Neurodevelopment of Children Prenatally Exposed to Selective Reuptake Inhibitor Antidepressants
Bibliographic record
Abstract
BACKGROUND: The reproductive safety of selective reuptake inhibitor (SRI) antidepressants needs to be established to provide optimal control of maternal depression while protecting the fetus. OBJECTIVE: To define a child's neurodevelopment following prenatal exposure to SRIs and to account for genetic and environmental confounders in a sibling design using the Toronto Motherisk prospective database. METHOD: Intelligence and behavior of siblings prenatally exposed and unexposed to SRIs were assessed by using the Wechsler Preschool and Primary Scale of Intelligence-Third Edition, Child Behavior Checklist, and Conners Parent Rating Scale-Revised and subsequently compared. Mothers, diagnosed with depression using DSM-IV, were assessed for intelligence quotient (IQ) and for severity of depressive symptoms with the Center for Epidemiologic Studies Depression scale. Prenatal drug doses and durations of exposure, child's age, child's sex, birth order, severity of maternal depression symptoms, and Full Scale IQ, the primary outcome measure, of both the mother and the child were considered in the analyses. RESULTS: Forty-five sibling pairs (ages 3 years to 6 years 11 months, prenatally exposed and unexposed to SRIs) did not differ in their mean ± SD Full Scale IQs (103 ± 13 vs 106 ± 12; P = .30; 95% CI, -7.06 to 2.21) or rates of problematic behaviors. Significant predictor of children's intelligence was maternal IQ (P = .043, β = 0.306). Severity of maternal depression was a significant predictor of Child Behavior Checklist Internalizing (P = .019, β = 0.366), Externalizing (P = .003, β = 0.457), and Total scores (P = .001, β = 0.494). Drug doses and durations of exposure during pregnancy did not predict any outcomes of interest in the exposed siblings. CONCLUSIONS: SRI antidepressants were not found to be neurotoxic. Maternal depression may risk the child's future psychopathology. The sibling design in behavioral teratology aids in separating the effects of maternal depression from those of SRIs, providing stronger evidence in clinical decision-making.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".