Assessment of Psychoeducational Outcomes After Pediatric Liver Transplant
Bibliographic record
Abstract
Outcomes research in pediatric liver transplant (LT) has focused on mortality and morbidity but there is a need to also evaluate functional outcomes. Standardized cognitive testing was administered to a cohort of children with infantile chronic liver disease who were transplanted at the University of Alberta during their preschool years. Thirty children had comprehensive assessments with the Bayley Scales of Infant Development or Wechsler testing. Patient variables potentially associated with cognitive delay were analyzed with multiple regression analysis. The mean DQ/IQ score (developmental quotient/intelligence quotient) was 81 +/- 17. Delay (DQ/IQ score < 70), and borderline delay (DQ/IQ 70-84) were each present in 27% of the cohort, with only 46% demonstrating normal cognition. Regression analysis demonstrated that the decreased IQ was associated with pretransplant growth retardation and elevated calcineurin inhibitor levels. Performance IQ had strong correlation with pretransplant growth retardation and elevated serum ammonia, R(2)= 45%, compared to verbal IQ that was associated was elevated calcineurin inhibitor levels, R(2)= 23%. Children post-LT are at high risk for cognitive delay or borderline delay. This is the first study to demonstrate the association calcineurin inhibitors with impaired IQ and also the unique finding of different variables predictive of impaired verbal intelligence quotient (VIQ) versus performance intelligence quotient (PIQ).
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".