Bodily pain and health-related quality of life in children with cerebral palsy
Bibliographic record
Abstract
Pain frequency and its association with participation, function, and health-related quality of life were evaluated in a sample of 198 children (58% male; mean age 10 years 7 months, SD 3 years 11 months; range 5 to 18 years) with moderate to severe cerebral palsy (CP). Gross Motor Functional Classification System (GMFCS) levels were III to V (23% level III, 23% level IV, 31% level V without a gastrostomy tube, and 23% were level V with a gastrostomy tube). Assessment was carried out using the parent-report Child Health Questionnaire (CHQ) and questions assessing health, medical utilization, and medication use. Pain frequency ranged from 'none' to 'every day'. Eleven percent of parents reported pain almost every day (z score=-0.38, p<0.001). Pain was related to severity of motor impairment and the presence of a gastrostomy; parents of the most severely affected children reported the highest pain frequency (p=0.05). Pain was correlated with school days missed (p=0.03) and days in bed (p=0.01). Children taking gastrointestinal medications were reported to have greater pain frequency (p<0.001). The Parental Impact--Emotional subscale of the CHQ was correlated with reported pain (r=0.38, p<0.001). Pain was frequent in children with moderate or severe CP. Pain was more prevalent with more severe impairment and was associated with educational and social consequences.
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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 | 0.004 |
| 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".