Isolated fetal neural tube defects associate with increased risk of placental pathology: evidence from the Collaborative Perinatal Project
Bibliographic record
Abstract
Abstract Objective To compare placental pathology and fetal growth in pregnancies with an isolated fetal neural tube defect (NTD; cases) to those without congenital anomalies (controls). We hypothesised that cases would be at an increased risk of placental pathology and poorer anthropometric outcomes at birth compared to controls Methods We performed a matched case-cohort study using data from the Collaborative Perinatal Project. Cases (n=74) and controls (n=148) were matched (1:2 ratio) for maternal pre-pregnancy BMI, maternal race, infant sex, gestational age at birth and study site. Primary outcomes were placental characteristics (weight and size measurements, pathology). Secondary outcomes were infant birth outcomes. Subgroup analysis was done by type of NTD (spina bifida, anencephaly or encephalocele), infant sex, and preterm/term delivery. Data were analysed using adjusted generalized linear and nominal logistic regression models. Results are presented as adjusted β or adjusted odds ratio (aOR; 95% confidence interval). Results Cases had lower placental weight (β=-22.2 g [-37.8 – −6.6]), surface area (β=-9.6 cm 2 [-18.3 – −1.0]) and birth length z-scores (β=-0.4 [-0.7 – −0.001]) compared to controls. Cases were more likely to have a single umbilical artery (vs. two; 6 [8.1%] vs. 1 [0.7%]; aOR=301 [52.6 – 1726]), overall placental hypermaturity (9 [12.2%] vs. 5 [3.4%]; aOR=6.8 [3.1 – 14.7]), and many (vs. few) Hofbauer cells (9 [12.2%] vs. 7 [4.7%]; aOR=3.02 [1.2 – 7.3]), stromal fibrosis (9 [12.2%] vs. 10 [6.8%]; aOR=3.0 [1.4 – 6.3]) and pathological edema (11 [14.9%] vs. 12 [8.1%]; aOR=3.04 [1.4 – 6.7]) in placental terminal villi compared to controls. Placental pathology varied across NTD subtypes, infant sex, and preterms vs. term pregnancies. Conclusions Fetuses with isolated NTDs may be at increased risk of placental pathology, which could be contributing to poor fetal growth in these pregnancies and subsequent postnatal morbidities.
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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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".