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Using the Berg Balance Scale to Distinguish Balance Abilities in Children with Cerebral Palsy

2002· article· en· W2007647559 on OpenAlexaff
Gayatri Kembhavi, Johanna Darrah, Joyce Magill‐Evans, Joan Loomis

Bibliographic record

VenuePediatric Physical Therapy · 2002
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGross Motor Function Classification SystemCerebral palsySpastic diplegiaBalance (ability)Berg Balance ScaleSpasticSpasticityPhysical therapyPsychologyGross motor skillPhysical medicine and rehabilitationBalance problemsAmbulatoryDiplegiaMotor skillMedicineDevelopmental psychologySurgery

Abstract

fetched live from OpenAlex

PURPOSE: This study was designed to evaluate the use of the Berg Balance Scale (BBS) to assess the balance abilities of children with cerebral palsy. METHODS: Thirty-six ambulatory children with cerebral palsy and 14 children with no motor impairment (ages eight to 12 years) were assessed on the BBS and the Gross Motor Function Measure (GMFM). Participants with cerebral palsy comprised three groups based on diagnosis (spastic hemiplegia, spastic diplegia who ambulated without aids, and spastic diplegia who ambulated with aids). A fourth group consisted of control subjects with no motor impairment. It was hypothesized that these four groups demonstrated a hierarchy of balance abilities. A one-way ANOVA was used to detect significant differences in test scores among the four groups. The analysis was repeated categorizing children on the Gross Motor Function Classification System (GMFCS) instead of diagnosis. RESULTS: The ability to use scores on the GMFM was slightly better than using BBS scores to distinguish among the groups when children were classified using diagnosis. Significant pair-wise differences among the groups were present on both the BBS and the GMFM when the children were grouped on the GMFCS. CONCLUSIONS: The results suggest that the BBS can be considered as a clinical measure of balance for children with cerebral palsy, and a functional classification system can be used to group children more homogeneously than traditional classification by diagnosis.

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 score0.003
Threshold uncertainty score0.536

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 head0.022
GPT teacher head0.271
Teacher spread0.248 · 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

Citations104
Published2002
Admission routes1
Has abstractyes

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