P12.11: The effect of antenatal SSRI exposure on fetal pulmonary vascular physiology
Bibliographic record
Abstract
To examine the effect of antenatal SSRI exposure on fetal pulmonary vascular physiology. A standard ultrasound assessment of fetal right pulmonary artery characteristics (PI, RI, diameter, VTI, peak velocity, mean velocity) at two different time intervals (morning and afternoon) in two groups of patients near term (35–36) weeks. The study group (n = 23) was on SSRI therapy since conception. The control group (n = 32) was not on any SSRI and free of prescription drug use and significant maternal or obstetrical conditions. In the study group, the AM ultrasound sessions was done prior to SSRI intake (trough), and the PM session was done several hours after SSRI intake. The sessions were performed 4.5 hours apart on average. There was no statistical difference in the two groups in baseline characteristics except depression scores. (HamA/HamD scores at 28 wks). There was no statistically significant difference in measured variables between the two groups, morning vs. afternoon, or within groups between morning and afternoon. However, study group foetuses that developed respiratory distress in the immediate neonatal period, there was a significant increase in RPA blood flow, diameter and cross sectional are compared to those study group foetuses without respiratory distress. Although there does not appear to be a measurable effect on pulmonary artery vascular parameters from SSRI exposed fetuses, the changes in those who developed respiratory distress requires further investigation.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".