Evidence map›Paper›PMID 34674488›Full record

ReviewEuropean geriatric medicine2018

Assessing gait parameters with accelerometer-based methods to identify older adults at risk of falls: a systematic review.

S Gillain, M Boutaayamou, C Beaudart, M Demonceau, O Bruyère, J Y Reginster, G Garraux, J Petermans

Abstract readReview
PubMed Publisher
In one paragraph

Review in European geriatric medicine, 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2021
    Review
  4. Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021
    Review
  5. Review
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

8 authors.

S GillainGeriatrics Department, University Hospital of Liège, Route de Gaillarmont, 600, Chênée, 4032, Liège, Belgium. s.gillain@gmail.com.
M BoutaayamouINTELSIG Laboratory, Department of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium.
C BeaudartDepartment of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium.
M DemonceauRehabilitation and Movement Sciences Department, University of Liège, Liège, Belgium.
O BruyèreDepartment of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium.
J Y ReginsterDepartment of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium.
G GarrauxNeurology Department, University Hospital of Liège, Liège, Belgium.
J PetermansGeriatrics Department, University Hospital of Liège, Route de Gaillarmont, 600, Chênée, 4032, Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to perform a systematic review to assess the utility of accelerometric methods to identify older adults at risk of falls.

methodsThe Preferred Reporting Item for Systematic review and Meta-Analysis (PRISMA) guidelines were followed during all steps of this systematic review. Cross sectional and longitudinal studies assessing gait parameters in older adults using accelerometric devices, and comparing groups based on the risk of falls or fall history were identified from studies published in the MEDLINE, SCOPUS and Cochrane Database of Systematic Reviews databases between January 1996 and January 2017. Study selection and data extraction were performed independently by two reviewers. The quality of the methodology used in the studies included was assessed using the Newcastle-Ottawa Scale.

resultsIn total, 354 references were identified through the database search. After selection, ten studies were included in this systematic review. According to the cross sectional studies, people who fall or are at risk of fall are slower, and walk with shorter steps, lower step frequency, worse stride and step regularity in terms of time, position and acceleration profiles. One longitudinal study suggests considering harmonic ratio of upper trunk acceleration in the vertical plane. Two other longitudinal studies highlight the importance of considering more than one gait parameter, and sophisticated statistical tools to discern older adults at risk for future fall(s).

conclusionThis systematic review essentially highlights the lack of available literature providing strong evidence that gait parameters obtained using acceleration-based methods could be useful to discern older people at risk of fall. Available literature is encouraging, but further high quality studies are needed to highlight the cross-sectional and longitudinal relationships between gait parameters and falls in older adults.

Indexed as

AccelerationFallGaitOlder adultsReview

Identifiers

PMID34674488

What OpenQuestion holds

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Registered trials

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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.