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Record W4284958719 · doi:10.2340/jrm.v54.334

Worldwide Survey of Clinician Practice on use of Adjunctive Therapies Following Botulinum Toxin Injection for Spasticity

2022· article· en· W4284958719 on OpenAlexaff
Fabienne Schillebeeckx, Patricia Mills, Alvin Ip, Michał Schinwelski, João Eduardo Marten Teixeira, Stephen Ashford, Nicolas Bayle, Elena Chemello, Jorge Jacinto, Meenakshi Nayar, Erika Magalhães Suzigan, Thierry Deltombe

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsInternational Collaboration On Repair DiscoveriesGF Strong Rehabilitation CentreUniversity of British Columbia
FundersIpsenAllerganSociété Française de Medecine physique et de Réadaptation
KeywordsMedicineBotulinum toxinPsychological interventionSpasticityAdjunctive treatmentPhysical therapyRehabilitationPhysical medicine and rehabilitationPsychiatrySurgery

Abstract

fetched live from OpenAlex

Objective: Non-pharmacological adjunctive therapies can be used alongside botulinum toxin injection to enhance its efficacy. The objective of this global study was to determine the current practice and perception among clinicians of the use of adjunctive therapies after botulinum toxin injections for the treatment of limb spasticity.Methods: A questionnaire with 22 questions on clinical practice demographics, self-reported use and clinician opinion on barriers to the use of complementary therapies, and priorities for future research was translated into 7 languages and distributed worldwide through national and international professional associations concerning (neuro)rehabilitation.Results: A total of 527 clinicians from 52 countries responded to the survey. Most commonly used physical interventions were: active exercise programmes at home (81%), stretching programmes at home (81%), and splinting (70%), followed by active movement exercises (65%) and within 30 min of botulinum toxin injection and constraint induced movement therapy (63%). The main barriers reported by clinicians to provision of these interventions were clinicians’ lack of time, limited financial resources, and lack of evidence. Future research should focus primarily on immediate active movement exercises and passive stretching.Conclusion: Worldwide, clinicians often recommend adjunctive therapies after a botulinum toxin injection to reduce spasticity. The most commonly used physical interventions among clinicians were active exercises at home, stretching at home, and splinting. Lack of evidence, time and financial constraints were identified as barriers to providing these interventions. LAY ABSTRACTA neurological injury, such as a stroke, traumatic brain injury or spinal cord injury, may cause muscle stiffness, a condition known as spasticity. Among available treatments for spasticity, botulinum toxin, a neurotoxin injected into the muscle, is used in cases of focal spasticity. Adjunctive therapies are therapies other than drugs that are used to enhance the efficacy of a treatment, such as botulinum toxin. The aim of this worldwide survey of clinicians was to determine the current clinical practice and perception of the use of adjunctive therapies following botulinum toxin injections. The results showed that the most frequently prescribed adjunctive therapies were active exercises at home, stretching at home, and splinting. The main barriers reported by clinicians to provision of these interventions were clinicians’ lack of time, limited financial resources, and lack of evidence.

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)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.060
GPT teacher head0.356
Teacher spread0.296 · 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 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
Published2022
Admission routes1
Has abstractyes

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