P30.07: Predicting gastroschisis perinatal outcome from antenatal characteristics
Bibliographic record
Abstract
To establish a correlation between prenatal ultrasound findings and postnatal outcome in neonates with gastroschisis (GS). This was a Retrospective cohort study over 11 years (2000–2011) on cases of newborns with isolated GS reviewed by examining prenatal ultrasound, obstetrical, neonatal and pediatric surgical records. Main neonatal outcomes were complex GS in the first 10 days of life (associated with bowel complications including intestinal atresia, perforation, necrosis or volvulus), short bowel syndrome and neonatal death. These were correlated for prenatal ultrasound findings including: intrauterine growth retardation, intra-abdominal bowel dilatation (IBD), extra-abdominal bowel dilatation (EBD), stomach dilatation, stomach herniation, absence of bowel peristalsis, disturbed mesenteric circulation, absence of lumen of intestinal loops, volvulus, echogenic dilated bowel loops. 107 newborns were included. Perinatal mortality was 15/107 (14%). 15 newborns had complex GS (14%) and 15 were complicated on long term by short bowel syndrome (14%). Predictive ultrasounds markers of complex GS were IBD (adjusted odds ratio: aOR 3.5, 95% CI 1.0–12.4) and absence of bowel peristalsis (aOR 15.1, 95% CI 2.4–95.6). The presence of echogenic dilated bowel loops (aOR 30.4, 95% CI 2.8 to 327.2) and drug use (aOR 4.0, 95% CI 1.0–15.9) were associated with an increased risk of short bowel. IBD, absence of bowel peristalsis and echogenic dilated bowel loops appear to be the antenatal ultrasound markers most strongly associated with an unfavorable outcome in GS. The impact of increased prenatal surveillance and early delivery in the presence of these ultrasounds markers has to be assessed.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 0.000 |
| 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".