Neurodevelopmental Outcomes in Preschool and School Aged Children With Biliary Atresia and Their Native Liver
Bibliographic record
Abstract
OBJECTIVES: The aim of the study was to assess neurodevelopmental outcomes among children with biliary atresia (BA) surviving with their native liver at ages 3 to 12 years and evaluate variables that associate with neurodevelopment. METHODS: Participants (ages 3-12 years) in a prospective, longitudinal, multicenter study underwent neurodevelopmental testing with Weschler Preschool and Primary Scale of Intelligence, 3rd edition (WPPSI-III, ages 3-5 years) and Weschler Intelligence Scale for Children, 4th edition (WISC-IV, ages 6-12 years). Continuous scores were analyzed using Kolmogorov-Smironov tests compared with a normal distribution (mean = 100 ± 15). Effect of covariates on Full-Scale Intelligence Quotient (FSIQ) was analyzed using linear regression. RESULTS: Ninety-three participants completed 164 WPPSI-III (mean age 3.9) and 51 WISC-IV (mean age 6.9) tests. WPPSI-III FSIQ (104 ± 14, P < 0.02), Verbal IQ (106 ± 14, P < 0.001), and General Language Composite (107 ± 16, P < 0.001) distributions were shifted higher compared with test norms. WISC-IV FSIQ (105 ± 12, P < 0.01), Perceptual Reasoning Index (107 ± 12, P < 0.01), and Processing Speed Index (105 ± 10, P < 0.02) also shifted upwards. In univariate and multivariable analysis, parent education (P < 0.01) was a significant predictor of FSIQ on WPPSI-III and positively associated with WISC-IV FSIQ. Male sex and higher total bilirubin and gamma glutamyl transferase (GGT) predicted lower WPPSI-III FSIQ. Portal hypertension was predictive of lower WISC-IV FSIQ. CONCLUSIONS: This cohort of children with BA and native liver did not demonstrate higher prevalence of neurodevelopmental delays. Markers of advanced liver disease (higher total bilirubin and GGT for age ≤5 years; portal hypertension for age ≥6) correlate with lower FSIQ and may identify a vulnerable subset of patients who would benefit from intervention.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".