Bibliographic record
Abstract
BACKGROUND AND AIMS: Prognosis in spina bifida (SB) is often based only on neurological deficits present at birth. We hypothesised that both parental hope and the neurophysical examination predict quality of life in children and adolescents with SB. METHODS: A previously validated disease and age specific health related quality of life (HRQL) instrument was posted to families of children (aged 5-12 years) and adolescents (aged 13-20 years) with SB. We measured parental hope, determined the child's current physical function, and obtained retrospective data on the neonatal neurophysical examination (NPE). Regression analysis modelled HRQL firstly as a dependent variable on parental hope and NPE ("birth status"); and secondly on parental hope and current physical function ("current function"). RESULTS: Response rates were 71% (137 of 194) for families of children, and 54% (74 of 138) for families of adolescents. NPE data were available for 121 children and 60 adolescents. In children, the birth status model predicted 26% of the variability (R(2) hope 21%) compared with 23% of the variability (R(2) hope 23%)in the adolescents. The current function model explained 47% of the variability (R(2) hope 19%) in children compared with 31% of the variability (R(2) hope 24%) in the adolescents. CONCLUSIONS: In both age groups, parental hope was more strongly associated with the HRQL than neonatal or current physical deficits. A prospective study is required to determine whether a causal relation exists between parental hope and HRQL of children and adolescents with SB.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".