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Record W2030221135 · doi:10.1097/pep.0000000000000111

Constraint-Induced Movement Therapy in Children Aged 5 to 9 Years With Cerebral Palsy

2015· article· en· W2030221135 on OpenAlexaff
Ashley Thompson, Serena Chow, Cathy Vey, Meghann Lloyd

Bibliographic record

VenuePediatric Physical Therapy · 2015
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsConstraint-induced movement therapyCerebral palsyContext (archaeology)Intervention (counseling)Grip strengthPhysical therapyMedicinePhysical medicine and rehabilitationSpasticPsychologyRehabilitationPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To examine the effectiveness of a modified form of constraint-induced movement therapy (mCIMT) in the context of a day camp model in 6 children aged 5-9 years with spastic hemiplegic cerebral palsy. METHODS: Before, 1 week after, and 3 months after 9 consecutive days of mCIMT, participants were assessed using the Quality of Upper Extremity Skills Test (QUEST) and assessments of range of motion and grip strength. Caregiver perceptions were assessed using the Pediatric Evaluation of Disability Inventory (PEDI) and a parent questionnaire. RESULTS: Significant improvements were observed on the "grasps" and "protective extension" subsections of the QUEST after the intervention. Increased social function was also observed as measured by the PEDI. All improvements were maintained at the 3-month follow-up assessment. Analysis of individual participants yielded additional information on clinically significant improvements as a result of the mCIMT intervention. CONCLUSIONS: The day camp model of mCIMT was effective in inducing lasting and meaningful changes in the children with hemiplegic cerebral palsy.

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 score0.061
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.027
GPT teacher head0.280
Teacher spread0.253 · 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

Citations13
Published2015
Admission routes1
Has abstractyes

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