Evidence map›Paper›PMID 29746520›Full record

Trial reportPloS one2018

Local dynamic stability during gait for predicting falls in elderly people: A one-year prospective study.

Lucia Bizovska, Zdenek Svoboda, Miroslav Janura, Maria Cristina Bisi, Nicolas Vuillerme

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  13. Overview of Radar-Based Gait Parameter Estimation Techniques for Fall Risk Assessment.IEEE open journal of engineering in medicine and biology · 2024
    Article
  14. Article
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  16. Article
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  18. Review
  19. 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
  20. Effects of Rucksack Military Accessory on Gait Dynamic Stability.International journal of prognostics and health management · 2021
    Article
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.

Lucia BizovskaDepartment of Natural Sciences in Kinanthropology, Faculty of Physical Culture, Palacky University Olomouc, Olomouc, Czech Republic.ORCID 0000-0002-6033-3611
Zdenek SvobodaDepartment of Natural Sciences in Kinanthropology, Faculty of Physical Culture, Palacky University Olomouc, Olomouc, Czech Republic.
Miroslav JanuraDepartment of Natural Sciences in Kinanthropology, Faculty of Physical Culture, Palacky University Olomouc, Olomouc, Czech Republic.
Maria Cristina BisiDepartment of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.
Nicolas VuillermeEA AGEIS, Universite Grenoble-Alpes, La Tronche, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computing the local dynamic stability using accelerometer data from inertial sensors has recently been proposed as a gait measure which may be able to identify elderly people at fall risk. However, the assumptions supporting this potential were concluded as most studies implement a retrospective fall history observation. The aim of this study was to evaluate the potential of local dynamic stability for fall risk prediction in a cohort of subjects over the age of 60 years using a prospective fall occurrence observation. A total of 131 elderly subjects voluntarily participated in this study. The baseline measurement included gait stability assessment using inertial sensors and clinical examination by Tinetti Balance Assessment Tool. After the baseline measurement, subjects were observed for a period of one year for fall occurrence. Our results demonstrated poor multiple falls predictive ability of trunk local dynamic stability (AUC = 0.673). The predictive ability improved when the local dynamic stability was combined with clinical measures, a combination of trunk medial-lateral local dynamic stability and Tinetti total score being the best predictor (AUC = 0.755). Together, the present findings suggest that the medial-lateral local dynamic stability during gait combined with a clinical score is a potential fall risk assessment measure in the elderly population.

Indexed as

Accidental FallsGaitModels, BiologicalPredictive Value of TestsAgedAged, 80 and overFemaleHumansMaleMiddle AgedProspective StudiesRisk Assessment

Identifiers

PMID29746520
PMCPMC5944953

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.