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Record W124315584

The use of botulinum toxin in paediatric hypertonia.

2005· article· en· W124315584 on OpenAlexaff
Darcy Fehlings

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsHypertoniaSpasticityMuscle toneMedicineBotulinum toxinSpasticPhysical medicine and rehabilitationNeuromuscular BlockadeWeaknessClonusDystoniaCerebral palsyAnesthesiaSurgery
DOInot available

Abstract

fetched live from OpenAlex

Botulinum toxin has become an important component of standard practice in the management of children with hypertonia (spasticity or dystonia). Following intramuscular injection, the neurotoxin causes a reversible neuromuscular blockade, creating both muscle weakness and a reduction in tone. Frequent goals of botulinum toxin injection include improving motor function, promoting longitudinal muscle growth and decreasing painful muscle spasms. The neuromuscular blockade lasts for three to six months on average. The clinical effect may last longer and the safety profile is excellent. Strong evidence, including randomized trials, exists for the efficacy of botulinum toxin in the management of lower and upper extremity tone in children. Common clinical indications include spastic equinus (toe walking), hip subluxation, upper extremity spasticity associated with hemiplegia or quadriplegia, and multilevel leg muscle injections in children with spastic diplegia.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.047
GPT teacher head0.225
Teacher spread0.178 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations5
Published2005
Admission routes1
Has abstractyes

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