Evidence map›Paper›PMID 28151878›Full record

Observational studyMedicine2017

A training approach to improve stepping automaticity while dual-tasking in Parkinson's disease: A prospective pilot study.

Taylor Chomiak, Alexander Watts, Nicole Meyer, Fernando V Pereira, Bin Hu

2 registry-linked trialsOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 23 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 7 pooled it
10.3field-weighted citation impact, top 2% 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.

NCT05505019 narecruitingnot on this mapstarted 2022, after this paper: background citation

The Role of a Personalized Music Intervention Towards Alleviating Apathy in Parkinson's Disease

TypeinterventionalSponsorUniversity of British ColumbiaRan2022 to 2026Enrolled50ConditionsParkinson Disease, ApathyArmsMusic listening, Podcast listening
NCT06174948 narecruitingnot on this mapstarted 2024, after this paper: background citation

The Use of the CUE1/CUE1+ Device in People With Idiopathic Parkinson's Disease and Related Disorders: A Feasibility Study

TypeinterventionalSponsorQueen Mary University of LondonRan2024 to 2025Enrolled70ConditionsParkinson's Disease and Parkinsonism, Progressive Supranuclear Palsy, Different Types of Tremor Including Essential Tremor, DystoniaArmsCUE1 non-invasive device, CUE1+ device active vs sham CUE1+ device
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 7 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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  6. Interventions for preventing falls in Parkinson's disease.The Cochrane database of systematic reviews · 2022
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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

5 authors at 1 institution in 2 countries.

Taylor ChomiakDivision of Translational Neuroscience, Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Alexander Watts
Nicole Meyer
Fernando V Pereira
Bin Hu
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeficits in motor movement automaticity in Parkinson's disease (PD), especially during multitasking, are early and consistent hallmarks of cognitive function decline, which increases fall risk and reduces quality of life. This study aimed to test the feasibility and potential efficacy of a wearable sensor-enabled technological platform designed for an in-home music-contingent stepping-in-place (SIP) training program to improve step automaticity during dual-tasking (DT).

methodsThis was a 4-week prospective intervention pilot study. The intervention uses a sensor system and algorithm that runs off the iPod Touch which calculates step height (SH) in real-time. These measurements were then used to trigger auditory (treatment group, music; control group, radio podcast) playback in real-time through wireless headphones upon maintenance of repeated large amplitude stepping. With small steps or shuffling, auditory playback stops, thus allowing participants to use anticipatory motor control to regain positive feedback. Eleven participants were recruited from an ongoing trial (Trial Number: ISRCTN06023392). Fear of falling (FES-I), general cognitive functioning (MoCA), self-reported freezing of gait (FOG-Q), and DT step automaticity were evaluated.

resultsWhile we found no significant effect of training on FES-I, MoCA, or FOG-Q, we did observe a significant group (music vs podcast) by training interaction in DT step automaticity (P<0.01).

conclusionWearable device technology can be used to enable musically-contingent SIP training to increase motor automaticity for people living with PD. The training approach described here can be implemented at home to meet the growing demand for self-management of symptoms by patients.

Indexed as

Physical Therapy ModalitiesSmartphoneWalkingAgedAlgorithmsAttentionFemaleHumansMaleMiddle AgedMusicParkinson DiseasePilot ProjectsProspective StudiesPsychomotor Performance

Identifiers

PMID28151878
PMCPMC5293441
OpenAlexW2617334421

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

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.