Evidence map›Paper›PMID 25894561›Full record

SynthesisPloS one2015

Wearable sensor use for assessing standing balance and walking stability in people with Parkinson's disease: a systematic review.

Ryan P Hubble, Geraldine A Naughton, Peter A Silburn, Michael H Cole

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04510922 (Technology-Based Objective Measures for Gait and Postural Assessment in Parkinson Disease Patients With Orthostatic Hypotension), which is not on this map. Cited by 86 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 14 pooled it
44.3field-weighted citation impact, top 1% 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.

NCT04510922 phase4completednot on this mapstarted 2019, after this paper: background citation

Technology-Based Objective Measures for Gait and Postural Assessment in Parkinson Disease Patients With Orthostatic Hypotension: Feasibility and Effect-Size Finding Study

TypeinterventionalSponsorAlberto Espay, MD, MScRan2019 to 2020Enrolled9ConditionsOrthostatic Hypotension, Idiopathic Parkinson DiseaseArmsDroxidopa 100 MG [Northera]
3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 14 syntheses or guidelines pooled it, 213 citations in OpenAlex.

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26 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Ryan P HubbleSchool of Exercise Science, Australian Catholic University, Brisbane, Queensland, Australia.
Geraldine A NaughtonSchool of Exercise Science, Australian Catholic University, Melbourne, Victoria, Australia.
Peter A SilburnThe University of Queensland, Centre for Clinical Research, Brisbane, Queensland, Australia.
Michael H ColeSchool of Exercise Science, Australian Catholic University, Brisbane, Queensland, Australia.
Australian Catholic University · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostural instability and gait disability threaten the independence and well-being of people with Parkinson's disease and increase the risk of falls and fall-related injuries. Prospective research has shown that commonly-used clinical assessments of balance and walking lack the sensitivity to accurately and consistently identify those people with Parkinson's disease who are at a higher risk of falling. Wearable sensors provide a portable and affordable alternative for researchers and clinicians who are seeking to objectively assess movements and falls risk in the clinical setting. However, no consensus currently exists on the optimal placements for sensors and the best outcome measures to use for assessing standing balance and walking stability in Parkinson's disease patients. Hence, this systematic review aimed to examine the available literature to establish the best sensor types, locations and outcomes to assess standing balance and walking stability in this population.

methodsPapers listed in three electronic databases were searched by title and abstract to identify articles measuring standing balance or walking stability with any kind of wearable sensor among adults diagnosed with PD. To be eligible for inclusion, papers were required to be full-text articles published in English between January 1994 and December 2014 that assessed measures of standing balance or walking stability with wearable sensors in people with PD. Articles were excluded if they; i) did not use any form of wearable sensor to measure variables associated with standing balance or walking stability; ii) did not include a control group or control condition; iii) were an abstract and/or included in the proceedings of a conference; or iv) were a review article or case study. The targeted search of the three electronic databases identified 340 articles that were potentially eligible for inclusion, but following title, abstract and full-text review only 26 articles were deemed to meet the inclusion criteria. Included articles were assessed for methodological quality and relevant data from the papers were extracted and synthesized.

resultsQuality assessment of these included articles indicated that 31% were of low methodological quality, while 58% were of moderate methodological quality and 11% were of high methodological quality. All studies adopted a cross-sectional design and used a variety of sensor types and outcome measures to assess standing balance or walking stability in people with Parkinson's disease. Despite the typically low to moderate methodological quality, 81% of the studies reported differences in sensor-based measures of standing balance or walking stability between different groups of Parkinson's disease patients and/or healthy controls.

conclusionThese data support the use of wearable sensors for detecting differences in standing balance and walking stability between people with PD and controls. Further high-quality research is needed to better understand the utility of wearable sensors for the early identification of Parkinson's disease symptoms and for assessing falls risk in this population. PROSPERO REGISTRATION: CRD42014010838.

Indexed as

Postural BalanceWalkingHumansParkinson DiseasePhysiology

Identifiers

PMID25894561
PMCPMC4403989
OpenAlexW2013773236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.