Evidence map›Paper›PMID 32660495›Full record

ArticleJournal of neuroengineering and rehabilitation2020

Quantitative clinical assessment of motor function during and following LSVT-BIG® therapy.

Matthew W Flood, Ben P F O'Callaghan, Paul Diamond, Jérémy Liegey, Graham Hughes, Madeleine M Lowery

Open access · goldAbstract readClinical Study
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 27 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 2 institutions in 2 countries.

Matthew W FloodNeuromuscular Systems Lab, School of Electrical & Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland. matthew.flood@ucdconnect.ie.ORCID 0000-0002-5674-424X
Ben P F O'CallaghanNeuromuscular Systems Lab, School of Electrical & Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland.
Paul DiamondNeuromuscular Systems Lab, School of Electrical & Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland.
Jérémy LiegeyNeuromuscular Systems Lab, School of Electrical & Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland.
Graham HughesDepartment of Geriatric Medicine, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland.
Madeleine M LoweryNeuromuscular Systems Lab, School of Electrical & Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland.
University College Dublin · IESt. Vincent's University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLSVT-BIG® is an intensively delivered, amplitude-oriented exercise therapy reported to improve mobility in individuals with Parkinson's disease (PD). However, questions remain surrounding the efficacy of LSVT-BIG® when compared with similar exercise therapies. Instrumented clinical tests using body-worn sensors can provide a means to objectively monitor patient progression with therapy by quantifying features of motor function, yet research exploring the feasibility of this approach has been limited to date. The aim of this study was to use accelerometer-instrumented clinical tests to quantify features of gait, balance and fine motor control in individuals with PD, in order to examine motor function during and following LSVT-BIG® therapy.

methodsTwelve individuals with PD undergoing LSVT-BIG® therapy, eight non-exercising PD controls and 14 healthy controls were recruited to participate in the study. Functional mobility was examined using features derived from accelerometry recorded during five instrumented clinical tests: 10 m walk, Timed-Up-and-Go, Sit-to-Stand, quiet stance, and finger tapping. PD subjects undergoing therapy were assessed before, each week during, and up to 13 weeks following LSVT-BIG®.

resultsAccelerometry data captured significant improvements in 10 m walk and Timed-Up-and-Go times with LSVT-BIG® (p <  0.001), accompanied by increased stride length. Temporal features of the gait cycle were significantly lower following therapy, though no change was observed with measures of asymmetry or stride variance. The total number of Sit-to-Stand transitions significantly increased with LSVT-BIG® (p <  0.001), corresponding to a significant reduction of time spent in each phase of the Sit-to-Stand cycle. No change in measures related to postural or fine motor control was observed with LSVT-BIG®. PD subjects undergoing LSVT-BIG® showed significant improvements in 10 m walk (p <  0.001) and Timed-Up-and-Go times (p = 0.004) over a four-week period when compared to non-exercising PD controls, who showed no week-to-week improvement in any task examined.

conclusionsThis study demonstrates the potential for wearable sensors to objectively quantify changes in motor function in response to therapeutic exercise interventions in PD. The observed improvements in accelerometer-derived features provide support for instrumenting gait and sit-to-stand tasks, and demonstrate a rescaling of the speed-amplitude relationship during gait in PD following LSVT-BIG®.

Indexed as

Wearable Electronic DevicesAccelerometryAgedExercise TherapyFeasibility StudiesFemaleHumansMaleParkinson DiseaseAccelerometryExercise therapyFinger tappingGait analysisLee Silverman voice therapyParkinson’s diseasePostural controlSit-to-standTimed-up-and-goWearable sensors

Identifiers

PMID32660495
PMCPMC7359464
OpenAlexW3042123474

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.