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How do changes in body functions and structures, activity, and participation relate in children with cerebral palsy?

2008· article· en· W2053211056 on OpenAlexafffund
F. Virginia Wright, Peter Rosenbaum, Charles H. Goldsmith, Mary Law, Darcy Fehlings

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2008
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster UniversityHolland Bloorview Kids Rehabilitation Hospital
FundersCanadian Institutes of Health ResearchCanadian Child Health Clinician Scientist ProgramChildren's Hospital FoundationMcMaster University
KeywordsCerebral palsyInternational Classification of Functioning, Disability and HealthGross Motor Function Classification SystemSpastic diplegiaSpasticityAmbulatoryPsychologySpasticPhysical therapyPhysical medicine and rehabilitationRehabilitationGross motor skillMedicineMotor skillDevelopmental psychologySurgery

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.235
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations152
Published2008
Admission routes2
Has abstractyes

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