Association of Vasoconstrictive Exposures with Risks of Gastroschisis and Small Intestinal Atresia
Bibliographic record
Abstract
BACKGROUND: Gastroschisis and small intestinal atresia are congenital anomalies that may arise from vascular disruption. It is hypothesized that maternal exposure to cocaine, amphetamines, decongestants and nicotine, all of which have vasoconstrictive actions, can contribute to these defects. The present study examined risks of gastroschisis and small intestinal atresia associated with combined exposure to vasoconstrictive drugs and cigarette smoking. METHODS: This was a retrospective study conducted from 1995 to 1999 in 15 cities across the United States and Canada. Mothers of 205 gastroschisis cases, 127 small intestinal atresia cases, 381 malformed controls and 416 nonmalformed controls were interviewed within 6 months of delivery. RESULTS: Reported vasoconstrictive drugs included pseudoephedrine, phenylpropanolamine, ephedrine and methylenedioxymethamphetamine. Combined exposure to vasoconstrictive drugs and cigarette smoking in the first 2.5 months of pregnancy was reported by 9% of gastroschisis cases, 9% of small intestinal atresia cases and 4% of controls. Multivariate-adjusted odds ratios, controlling for the effects of age, education, income, other drug use and alcohol intake, were 2.1 (95% confidence interval = 1.0-4.4) for gastroschisis and 2.8 (1.1-6.9) for small intestinal atresia. Risks of each defect increased with increasing level of cigarettes (P for trend = 0.019 and 0.012, respectively). Vasoconstrictive drug use among smokers of 20 or more cigarettes a day increased gastroschisis risk 3.6-fold (1.3-10.3) and small intestinal atresia risk 4.2-fold (1.1-16.2). CONCLUSIONS: These findings provide further evidence of vascular disruption as an etiology for gastroschisis and small intestinal atresia.
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.
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 | 0.001 | 0.003 |
| 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 | 0.001 |
| 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".