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Record W4404818593 · doi:10.5014/ajot.2025.050723

Impact of a Dynamic Orthosis on Manual Dexterity Among People With Parkinson’s Disease: A Randomized Trial

2024· article· en· W4404818593 on OpenAlexaboutno aff
María Jiménez Barrios, Jerónimo J. González‐Bernal, Mirian Santamaría‐Peláez, Carla Collazo, Esther Cubo, José María Trejo Gabriel-Galán, Martin Matthews, Josefa González‐Santos

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2024
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease and Spinal Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical therapyParkinson's diseaseMedicinePhysical medicine and rehabilitationRandomized controlled trialNeurologyTest (biology)PsychologyDiseaseSurgery

Abstract

fetched live from OpenAlex

IMPORTANCE: A dynamic elastomeric fabric orthosis could be a novel nonpharmacological treatment of motor symptoms among people with Parkinson's disease (PD). OBJECTIVE: To evaluate the efficacy of the orthosis in improving manual dexterity among people with PD. DESIGN: A randomized trial with 60 participants (control group, n = 20; experimental group, n = 40). Manual dexterity was assessed in on-off states of the disease, with and without the orthosis. SETTING: Burgos University Hospital (Burgos, Spain). PARTICIPANTS: Consecutive nonprobabilistic sampling. Patients were included if they had been diagnosed with PD, had motor symptoms in at least one upper limb, and attended the hospital's neurology department. Participants were ages 48 to 89 yr, with an average disease duration of 5.38 yr (SD = 4.23). Exclusion criteria were tremor due to another neurological disease or a Montreal Cognitive Assessment score ≤26. INTERVENTION: The experimental group used the orthosis on the most affected upper limb for 2 mo; the control group participants did not receive the orthosis. OUTCOMES AND MEASURES: Manual dexterity was measured with the Purdue Pegboard Test, Minnesota Manual Dexterity Test, and Square Test. Paired t tests for related samples and analysis of covariance tests were used. RESULTS: Some participants improved on some manual dexterity items while wearing the orthosis. However, it was not sustained when the orthosis was removed after 2 mo of use. CONCLUSIONS AND RELEVANCE: The orthosis may improve certain aspects of manual dexterity and functionality among people with PD, but only while it is worn. Plain-Language Summary: The common motor symptoms and declines in manual dexterity that people with Parkinson's disease (PD) experience can significantly affect their ability to perform activities of daily living as well as their quality of life. Manual dexterity is a strong predictor of the level of functional independence for people with PD. This study evaluated the efficacy of an elastomeric fabric orthosis to improve manual dexterity for people with PD. The study found that while wearing the orthosis the motor symptoms of PD were reduced and manual dexterity and upper limb functionality improved. Wearing the orthosis has the potential to enhance functionality, foster greater autonomy, and substantially improve the quality of life of people with PD.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.364
Teacher spread0.346 · 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 designRandomized trial
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

Citations1
Published2024
Admission routes1
Has abstractyes

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