OC18.05: Fetal and neonatal outcomes of fetuses with sonographically isolated, mild ventriculomegaly
Bibliographic record
Abstract
The objective was to assess overall fetal and neonatal outcomes associated with a diagnosis of sonographically isolated, mild ventriculomegaly (VM) in order to better counsel patients. Our primary outcome was to assess regression, stability or progression on follow up sonography. Our secondary outcomes were results of standard antenatal investigations and neonatal neurodevelopment. We conducted a retrospective observational study by reviewing cases of apparently sonographically isolated, mild VM referred to our centre from January 2013 to 2019. The definition of mild VM used corresponded to a measurement ≥10.0-12.9mm. Pregnancies in which VM was diagnosed on an antenatal ultrasound between 15-40 weeks gestational age were identified through our centre's database. Data was then collected from our database and our region's shared electronic medical records. Summary statistics were then used to evaluate various antenatal, fetal and neonatal outcomes. A total of 117 cases of sonographically isolated mild VM were identified. The rate of in utero regression to normal ventricle size was 64.5%, stability was 24.3%, progression to moderate or severe was 11.2%. The incidence of neurological impairment in this cohort was 18.8%. 10.3% of the neonates whose ventricle size had regressed to normal in utero and 31.0% of the neonates with stable mild VM in utero were identified to have neurological impairment. There were no cases of congenital infection. The majority of pregnancies with a diagnosis of sonographically isolated, mild VM regressed in utero to normal ventricle size. Despite regression, rates of neurological impairment were still higher than the baseline population, suggesting that a diagnosis of sonographically isolated mild VM in pregnancy has bearing on the future neurodevelopment of the neonate. It appears from our results that a diagnosis of sonographically isolated, mild VM is not a benign diagnosis and should always be further investigated.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".