Functioning profile and related impairments of children and adolescents with cerebral palsy - PartiCipa Brazil preliminary results
Bibliographic record
Abstract
BACKGROUND: Limited information is available about functioning and related impairments of children and adolescents with Cerebral Palsy (CP) in low- and middle-income countries (LMIC) like Brazil. The aim of this study is to describe the characteristics, functioning, and impairments of Brazilian children and adolescents with CP. METHODS: Cross-sectional preliminary study as part of the PartiCipa Brazil multicentered cohort study. Families of children and adolescents with CP from Brazil, 4 months to 15 years, were enrolled. They responded to an online survey with questions about their child's health condition, impairments, contextual factors, and functioning according to the Gross Motor Function Classification System (GMFCS) and the Manual Ability Classification System (MACS). Data were described as frequencies, percentages, means, and standard deviations, according to age bands. RESULTS: Of the 404 participants (6.5±3.6 years) enrolled in this preliminary analysis, 54.7% are male, 90.4% under 12 years of age, 77.7% have bilateral CP, 49% in GMFCS levels IV and V, and 50.7% in MACS levels II and V. Most participants are from Southeast (63.4%) and Centre-west (19.5%) of Brazil. Regarding the impairments and functioning limitations: 1 in 2 did not talk; 1 in 2 has epilepsy; 2 of 5 reports pain, 1 of 4 has visual impairments, 3 out of 5 did not feed themselves, 1 out of 20 has a hearing impairment and 1 of 4 did not go to school. CONCLUSION: This first preliminar Brazilian study shows a high prevalence of children at MACS levels II and V and GMFCS levels IV and V, representing almost half of the group, indicating more impairments and limitations than children/adolescents from high-income countries. This study provides a preliminary deeper understanding of the key impairments and limitations in activities among children and adolescents with CP from various Brazilian regions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".