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Low-dose/high-concentration localized botulinum toxin A improves upper limb movement and function in children with hemiplegic cerebral palsy

2006· article· en· W6884310399 on OpenAlexaboutno aff

Bibliographic record

VenueResearchOnline - ND (The University of Notre Dame Australia) · 2006
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsGoal Attainment ScalingCerebral palsyUpper limbBotulinum toxinModified Ashworth scaleFunctional movementMotor functionSpasticity

Abstract

fetched live from OpenAlex

The objective was to determine the effects of low-dose, high-concentration, dual localized botulinum toxin A (BTX-A) injections on upper limb movement quality and function. Study design was an evaluator-blinded, randomized, controlled trial. Forty-two children (31 males, 11 females; range 2–8y, mean 4y [SD 1.6]) with hemiplegic cerebral palsy (Gross Motor Function Classification System level I) participated. All received occupational therapy. The treatment group (n=21) received one injection series (mean muscles injected 6 [SD 1.05]; total dose 82–220 units, mean 139 [SD 37.48]; dilution 100 units/0.5ml). Primary outcome of Quality of Upper Extremity Skills Test (QUEST) at 6 months was not significant (p=0.318). Secondary outcomes were average treatment effects at 1, 3, and 6 months, which favoured the treatment group: QUEST (p<0.001); Canadian Occupational Performance Measure (performance, p=0.002; satisfaction p=0.007); parent Goal Attainment Scaling (GAS; p=0.001), therapist GAS (p<0.001); Pediatric Evaluation of Disability Inventory (PEDI) functional skills (p=0.030); Ashworth (p<0.001). PEDI caregiver assistance was not significant (p=0.140). Therapy alone is effective, but at 1 and 3 months movement quality is better where BTX-A is also used. Moreover, function is better at 1, 3, and 6 months, suggesting BTX-A enhances therapy outcomes beyond the pharmacological effect. One- and 3-month Ashworth and QUEST scores suggest precise needle placement accuracy.

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 score0.145
Threshold uncertainty score0.569

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.246
Teacher spread0.230 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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