Center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysis

Abstract Background Falling is the most common accident of daily living and the second most prevalent cause of accidental death in the world. The complex nature of risk factors associated with falling makes those at risk amongst the elderly population difficult to identify. Commonly used clinical te...

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Main Authors: Flavien Quijoux, Aliénor Vienne-Jumeau, François Bertin-Hugault, Marie Lefèvre, Philippe Zawieja, Pierre-Paul Vidal, Damien Ricard
Format: Article
Language:English
Published: BMC 2019-09-01
Series:Systematic Reviews
Subjects:
COP
Online Access:http://link.springer.com/article/10.1186/s13643-019-1147-9
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spelling doaj-82db99d4654641c883cad3324a6198712020-11-25T03:04:35ZengBMCSystematic Reviews2046-40532019-09-01811910.1186/s13643-019-1147-9Center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysisFlavien Quijoux0Aliénor Vienne-Jumeau1François Bertin-Hugault2Marie Lefèvre3Philippe Zawieja4Pierre-Paul Vidal5Damien Ricard6CNRS, UMR 8257 Cognition and Action GroupCNRS, UMR 8257 Cognition and Action GroupOrpéa GroupOrpéa GroupOrpéa GroupCNRS, UMR 8257 Cognition and Action GroupCNRS, UMR 8257 Cognition and Action GroupAbstract Background Falling is the most common accident of daily living and the second most prevalent cause of accidental death in the world. The complex nature of risk factors associated with falling makes those at risk amongst the elderly population difficult to identify. Commonly used clinical tests have limitations when it comes to reliably detecting the risk of falling, but existing laboratory tests, such as force platform measurements, represent one method of overcoming this lack of a test. Despite their widespread use, however, Center of Pressure (COP) signal analysis techniques vary and there is currently no consensus on which features should be used diagnostically. Our objective is to identify, through a systematic review and meta-analysis, the COP characteristics of older adults (≥ 60 years old) during quiet bipedal stance which will allow fallers to be distinguished from non-fallers. Methods The systematic review will include both prospective and retrospective articles. Five databases will be searched: PubMed, Cochrane CENTRAL, EMBASE, and ScienceDirect. In addition, a search of gray literature will be performed using Google Scholar and ClinicalTrials.gov. Searches will be circumscribed to include only older adults (aged over 60 years) who underwent a bipedal quiet standing measure of their balance and for whom the number of falls was reported. Two authors will independently assess the risk of bias for each included article using a 26-item checklist. Funnel plots will be drawn to attest of possible publication biases for each COP parameters. The results will be synthesized descriptively and a meta-analysis will be undertaken. When trial methodological heterogeneity is too great for pooling of the data into a meta-analysis, evidence strength will be evaluated using best evidence analysis. Discussion Despite the numerous advantages of posturography, the diversity of studies exploring balance in older fallers has led to uncertainty regarding the method’s ability to reliably identify fall-prone older adults. It is expected that the findings from this systematic review will help clinicians use bipedal quiet standing measures as a diagnostic test and allow researchers to explore COP characteristics to create better models for fall prevention care. Systematic review registration PROSPERO CRD42018098671http://link.springer.com/article/10.1186/s13643-019-1147-9Older adultsFallersQuiet standingCOPPredictionRisk of falling
collection DOAJ
language English
format Article
sources DOAJ
author Flavien Quijoux
Aliénor Vienne-Jumeau
François Bertin-Hugault
Marie Lefèvre
Philippe Zawieja
Pierre-Paul Vidal
Damien Ricard
spellingShingle Flavien Quijoux
Aliénor Vienne-Jumeau
François Bertin-Hugault
Marie Lefèvre
Philippe Zawieja
Pierre-Paul Vidal
Damien Ricard
Center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysis
Systematic Reviews
Older adults
Fallers
Quiet standing
COP
Prediction
Risk of falling
author_facet Flavien Quijoux
Aliénor Vienne-Jumeau
François Bertin-Hugault
Marie Lefèvre
Philippe Zawieja
Pierre-Paul Vidal
Damien Ricard
author_sort Flavien Quijoux
title Center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysis
title_short Center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysis
title_full Center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysis
title_fullStr Center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysis
title_full_unstemmed Center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysis
title_sort center of pressure characteristics from quiet standing measures to predict the risk of falling in older adults: a protocol for a systematic review and meta-analysis
publisher BMC
series Systematic Reviews
issn 2046-4053
publishDate 2019-09-01
description Abstract Background Falling is the most common accident of daily living and the second most prevalent cause of accidental death in the world. The complex nature of risk factors associated with falling makes those at risk amongst the elderly population difficult to identify. Commonly used clinical tests have limitations when it comes to reliably detecting the risk of falling, but existing laboratory tests, such as force platform measurements, represent one method of overcoming this lack of a test. Despite their widespread use, however, Center of Pressure (COP) signal analysis techniques vary and there is currently no consensus on which features should be used diagnostically. Our objective is to identify, through a systematic review and meta-analysis, the COP characteristics of older adults (≥ 60 years old) during quiet bipedal stance which will allow fallers to be distinguished from non-fallers. Methods The systematic review will include both prospective and retrospective articles. Five databases will be searched: PubMed, Cochrane CENTRAL, EMBASE, and ScienceDirect. In addition, a search of gray literature will be performed using Google Scholar and ClinicalTrials.gov. Searches will be circumscribed to include only older adults (aged over 60 years) who underwent a bipedal quiet standing measure of their balance and for whom the number of falls was reported. Two authors will independently assess the risk of bias for each included article using a 26-item checklist. Funnel plots will be drawn to attest of possible publication biases for each COP parameters. The results will be synthesized descriptively and a meta-analysis will be undertaken. When trial methodological heterogeneity is too great for pooling of the data into a meta-analysis, evidence strength will be evaluated using best evidence analysis. Discussion Despite the numerous advantages of posturography, the diversity of studies exploring balance in older fallers has led to uncertainty regarding the method’s ability to reliably identify fall-prone older adults. It is expected that the findings from this systematic review will help clinicians use bipedal quiet standing measures as a diagnostic test and allow researchers to explore COP characteristics to create better models for fall prevention care. Systematic review registration PROSPERO CRD42018098671
topic Older adults
Fallers
Quiet standing
COP
Prediction
Risk of falling
url http://link.springer.com/article/10.1186/s13643-019-1147-9
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