Evidence map›Paper›PMID 35021926›Full record

ArticleDisability and rehabilitation2023

Novel lower-extremity dexterity assessment for Parkinson's disease: validation against measures of arm dexterity and general mobility.

Daniel Kuhman, Lloyd J Edwards, Harrison Walker, Christopher P Hurt

Open access · greenAbstract read
In one paragraph

Article in Disability and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Daniel KuhmanRehabilitation Science, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0002-5495-7081
Lloyd J EdwardsDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Harrison WalkerDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Christopher P HurtDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA.
University of Alabama at Birmingham · US

Funding

Noninvasive Biomarkers to Advance Emerging DBS Electrode Technologies in Parkinson's DiseaseUH3NS100553 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WALKER, HARRISON CARROLL · 2016 to 2021
$7.3M
Methods and Health Informatics CoreP30AR072583 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JEFFREY R. CURTIS · 2020 to 2026
$5.7M
NIAMS NIH HHS P30 AR072583NINDS NIH HHS UH3 NS100553
6 · The paper itself

Abstract

purposeTo establish criterion and construct validity of a novel, clinically feasible assessment of lower-extremity dexterity for PD patients.

methodsThirty-three PD patients performed a unilateral lower-extremity dexterity task "off" and "on" dopaminergic medications with each leg. The task involves iteratively tapping targets with the foot in a specified pattern, and the measured outcome is the time to complete the movement sequence, with longer times indicating worse performance. We correlated leg movement time with standard, validated measures of gait (comfortable and maximal walk speeds), general mobility (timed up and go), upper-extremity dexterity (9-Hole Pegboard), and elements of the Unified Parkinson Disease Rating Scale (MDS-UPDRS).

resultsWe found significant relationships between lower extremity dexterity and each of these tasks "off" and "on" medications. Task performance also captures known features of PD, including dopamine-mediated improvement in performance and asymmetrical symptom presentation.

conclusionsThis task provides a simple assessment of lower extremity function that correlates with validated measures of dexterity, gait, and mobility. It provides objective, continuous data, is inexpensive, requires little technical expertise/equipment, has a small physical footprint, and can be administered quickly. These features increase the feasibility of implementing this assessment tool in clinical settings.Implications for rehabilitationWe introduce a novel task that captures lower extremity dexterity in individuals with Parkinson's disease (PD).The task is validated against gold standard measures of upper extremity dexterity, gait, and general mobility.Performance on the task is sensitive to known features of PD, including dopamine-mediated improvements and asymmetrical symptom presentation.The task is easy to implement and provides higher quality data compared to other common clinical assessments (e.g., MDS-UPDRS).

Indexed as

Parkinson DiseaseArmDopamineGaitHumansLower ExtremityDopaminedexteritylower extremitymobilityParkinson’s diseasevalidity

Identifiers

PMID35021926
PMCPMC9428931
OpenAlexW4205108767

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.