Evidence map›Paper›PMID 34826208›Full record

ReviewPhysiological reports2021

A review of center of pressure (COP) variables to quantify standing balance in elderly people: Algorithms and open-access code.

Flavien Quijoux, Alice Nicolaï, Ikram Chairi, Ioannis Bargiotas, Damien Ricard, Alain Yelnik, Laurent Oudre, François Bertin-Hugault, Pierre-Paul Vidal, Nicolas Vayatis and 2 more

Registry-linked trialOpen access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Physiological reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06075862 (Postural Imbalance Amongst Elderly Patients With Symptomatic Lumbar Spinal Stenosis Before and After Decompressive Surgery), which is not on this map. Cited by 165 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 5 pooled it
65.5field-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.

NCT06075862 recruitingnot on this mapstarted 2023, after this paper: background citation

Postural Imbalance Amongst Elderly Patients With Symptomatic Lumbar Spinal Stenosis Before and After Decompressive Surgery

TypeobservationalSponsorRegion ZealandRan2023 to 2028Enrolled80ConditionsLumbar Spinal StenosisArmsDecompressive surgery
3 · Its place in the literature

Who cites it

165 citing papers in PubMed, 5 syntheses or guidelines pooled it, 289 citations in OpenAlex.

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105 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

12 authors at 3 institutions in 4 countries.

Flavien QuijouxCentre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris, Paris, France.ORCID 0000-0002-9842-2361
Alice NicolaïCentre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris, Paris, France.
Ikram ChairiCentre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris, Paris, France.
Ioannis BargiotasCentre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris, Paris, France.
Damien RicardCentre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris, Paris, France.
Alain YelnikCentre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris, Paris, France.
Laurent OudreCentre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris, Paris, France.
François Bertin-HugaultORPEA Group, Puteaux, France.
Pierre-Paul VidalCentre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris, Paris, France.
Nicolas VayatisCentre Borelli UMR 9010/Université Paris-Saclay, ENS Paris-Saclay, CNRS, SSA, Inserm, Université de Paris, Paris, France.
Stéphane BuffatLaboratoire d'accidentologie de biomécanique et du comportement des conducteurs, GIE Psa Renault Groupes, Nanterre, France.
Julien AudiffrenDepartment of Neuroscience, University of Fribourg, Fribourg, Switzerland.
Centre National de la Recherche Scientifique · FRRenault (France) · FRUniversity of Fribourg · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postural control is often quantified by recording the trajectory of the center of pressure (COP)-also called stabilogram-during human quiet standing. This quantification has many important applications, such as the early detection of balance degradation to prevent falls, a crucial task whose relevance increases with the aging of the population. Due to the complexity of the quantification process, the analyses of sway patterns have been performed empirically using a number of variables, such as ellipse confidence area or mean velocity. This study reviews and compares a wide range of state-of-the-art variables that are used to assess the risk of fall in elderly from a stabilogram. When appropriate, we discuss the hypothesis and mathematical assumptions that underlie these variables, and we propose a reproducible method to compute each of them. Additionally, we provide a statistical description of their behavior on two datasets recorded in two elderly populations and with different protocols, to hint at typical values of these variables. First, the balance of 133 elderly individuals, including 32 fallers, was measured on a relatively inexpensive, portable force platform (Wii Balance Board, Nintendo) with a 25-s open-eyes protocol. Second, the recordings of 76 elderly individuals, from an open access database commonly used to test static balance analyses, were used to compute the values of the variables on 60-s eyes-open recordings with a research laboratory standard force platform.

Indexed as

Accidental FallsAlgorithmsPostural BalanceAgedBiomechanical PhenomenaDatabases, FactualHumansRisk Assessmentcenter of pressureelderlypostural controlquiet standing

Identifiers

PMID34826208
PMCPMC8623280
OpenAlexW3214883800

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.