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Record W2128023921 · doi:10.1177/08884390042265662

Phenol Reduces Hypertonia and Enhances Strength: A Longitudinal Case Study

2004· article· en· W2128023921 on OpenAlexafffund
Patrick H. McCrea, Janice J. Eng, Rhonda Willms

Bibliographic record

VenueNeurorehabilitation and neural repair · 2004
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsGF Strong Rehabilitation Centre
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsSpasticityHypertoniaElbowPhysical medicine and rehabilitationStiffnessMedicineAnesthesiaMaterials scienceSurgery

Abstract

fetched live from OpenAlex

Phenyl alcohol blocks are used to relieve spasticity. Such nerve conduction blocks result from phenol-induced axonotmesis and could potentially affect muscle properties related to the ability to generate, maximize, and reduce force. This study assessed the 12-week longitudinal effect of phenol on position (stiffness) and velocity (damping) components of hypertonia, in addition to strength (peak torque and times to generate and reduce torque) in an individual with chronic elbow flexor spasticity following stroke. Phenol motor point injections of flexor muscles paradoxically increased the magnitude of flexion torque and decreased the times required to generate and reduce flexion and extension joint torques, in addition to reducing elbow extension stiffness and damping. Large reductions in the velocity-related component of hypertonia (damping changes > 90%) occurred immediately following injection, which is a finding that supports the velocity-dependent definition of spasticity. Although the changes in damping were large and transient, changes in stiffness and strength variables were small, slower to occur, and maintained. This suggests secondary changes following nerve block, possibly facilitated by regular elbow use subsequent to spasticity reduction.

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 score0.336
Threshold uncertainty score0.552

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 head0.025
GPT teacher head0.302
Teacher spread0.276 · 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

Citations16
Published2004
Admission routes2
Has abstractyes

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