Does hip displacement influence health-related quality of life in children with cerebral palsy?
Bibliographic record
Abstract
OBJECTIVE: To evaluate the association of hip lateralisation with health-related quality of life (HRQL) in children with cerebral palsy (CP) using the Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD(®)) questionnaire. METHODS: We assessed n = 34 patients (mean age: 10.2 years, SD: 4.7 years; female: n = 16) with bilateral CP and Gross Motor Function Classification System (GMFCS) Level III-V using the CPCHILD(®) questionnaire. Hip lateralisation was measured by Reimer`s migration percentage (MP). RESULTS: There was an association between both, MP and GMFCS with CPCHILD(®) total score. Stratified analyses did not suggest interaction of the association between MP and CPCHILD(®) total score by GMFCS level. After adjustment for GMFCS level, we found a significant linear decrease of CPCHILD(®) total score of -0.188 points by 1% increment in MP. CONCLUSIONS: There was an association between MP and HRQL, which could not be explained by the GMFCS level.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".