Evidence map›Paper›PMID 36030732›Full record

ArticleJournal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology2022

Finger dexterity measured by the Grooved Pegboard test indexes Parkinson's motor severity in a tremor-independent manner.

Isabelle Buard, Xinyi Yang, Alexander Kaizer, Lucas Lattanzio, Benzi Kluger, Roger M Enoka

Open access · greenAbstract read
In one paragraph

Article in Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Isabelle BuardDepartment of Neurology, University of Colorado Denver, Aurora, CO, USA. Electronic address: Isabelle.Buard@CUAnschutz.edu.
Xinyi YangColorado School of Public Health-Biostatistics and Informatics, Aurora, CO, USA.
Alexander KaizerColorado School of Public Health-Biostatistics and Informatics, Aurora, CO, USA.
Lucas LattanzioDepartment of Neurology, University of Colorado Denver, Aurora, CO, USA.
Benzi KlugerDepartment of Neurology, University of Rochester Medical Center Rochester, NY, USA.
Roger M EnokaDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.
University of Colorado Boulder · USUniversity of Colorado Denver · USUniversity of Rochester Medical Center · US

Funding

Auditory-motor entrainment of fine motor function via Neurologic Music TherapyK01AT009894 · NCCIH · UNIVERSITY OF COLORADO DENVER · PI BUARD, ISABELLE · 2019 to 2023
$641k
Characterizing Intrinsic Functional Cortical Networks in Parkinson Disease DementiaR21NS093266 · NINDS · UNIVERSITY OF COLORADO DENVER · PI KLUGER, BENZI M · 2016 to 2017
$440k
NCCIH NIH HHS K01 AT009894NINDS NIH HHS R21 NS093266
6 · The paper itself

Abstract

Fine motor impairments are frequent complaints in people with Parkinson's disease (PD). While they may develop at an early stage of the disease, they become more problematic as the disease progresses. Tremors and fine motor symptoms may seem related, but evidence suggests two distinct phenomena. The purpose of our study was to investigate the relationships between fine motor skills and clinical characteristics of PD patients. We hypothesized worse fine motor skills to be associated with greater motor severity that is independent of tremor. We measured fine motor abilities using the Grooved Pegboard test (GPT) in each hand separately and collected clinical and demographics data in a cohort of 82 persons with PD. We performed regression analyses between GPT scores and a range of outcomes: motor severity, time from diagnosis, age and tremors. We also explored similar associations using finger and hand dexterity scores from a standardized PD rating scale. Our results indicate that scores on the GPT for each hand, as measures of manual dexterity, are associated with motor severity and time from diagnosis. The presence of tremors was not a confounding factor, as hypothesized, but age was associated with GPT scores for the dominant hand. Motor severity was also associated with hand and finger dexterity as measured by single items from the clinical Parkinson's rating scale. These findings suggest that the GPT to be useful tool for motor severity assessments of people with PD.

Indexed as

Parkinson DiseaseTremorFingersHumansMotor SkillsMuscle, SkeletalDexterity testFine motorMotor controlParkinson’sTremors

Identifiers

PMID36030732
PMCPMC9836835
OpenAlexW4292622110

What OpenQuestion holds

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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.