How do changes in body functions and structures, activity, and participation relate in children with cerebral palsy?
Bibliographic record
Abstract
Rehabilitation increasingly addresses the International Classification of Functioning, Disability and Health's (ICF) concepts of activity and participation, but little is known about associations between changes in body functions and structures, activity, and participation. We conducted a before-and-after study of 35 ambulatory children with spastic diplegia or hemiplegic cerebral palsy, mean age 5 years 6 months (SD 2 y 2 mo). Children were in Gross Motor Function Classification System (GMFCS) Levels I (n=11), II (n=12), or III (n=12). We assessed body functions and structures, activity, and participation at baseline and at 2 months and 6 months post-botulinum toxin type A (BoNT-A) injection. Repeated-measures analysis of variance evaluated change, and linear regression assessed relationships. Baseline score relationships were moderate to strong but, despite similar directions of change at 2 months, change score relationships between measures of body functions and structures (spasticity and timed walk), activity (Gross Motor Function Measure and Pediatric Evaluation of Disability Inventory), and participation (Pediatric Outcomes Data Collection Instrument) at 2 months and 6 months were poor to fair (r<0.40). Predictor combinations accounted for <69% of variation in activity and participation change scores. Predictors often pertained to baseline score, GMFCS level, or age. Relationships between changes at different ICF levels are complex, and activity and participation gains post-BoNT-A are likely to be influenced by the child and environment factors.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".