Evidence map›Paper›PMID 38627674›Full record

ArticleBMC neurology2024

Beyond gait speed: exploring the added value of Inertial Measurement Unit-based measurements of gait in the estimation of the walking ability in daily life.

R A W Felius, N C Wouda, M Geerars, S M Bruijn, J H van Dieën, M Punt

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.9field-weighted citation impact, top 3% 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.

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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

R A W FeliusResearch group lifestyle and health, Utrecht University of Applied Sciences, Utrecht, The Netherlands. Richard.felius@hu.nl.
N C WoudaCenter of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, the Netherlands.
M GeerarsPhysiotherapy Department Neurology, Axioncontinu, Rehabilitation Center de Parkgraaf, Utrecht, The Netherlands.
S M BruijnDepartment of Human Movement Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
J H van DieënDepartment of Human Movement Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
M PuntResearch group lifestyle and health, Utrecht University of Applied Sciences, Utrecht, The Netherlands.
Vrije Universiteit Amsterdam · NLUniversity Medical Center Utrecht · NLUniversity of Applied Sciences Utrecht · NLUtrecht University · NL

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 016.Vidi.178.014Nederlandse Organisatie voor Wetenschappelijk Onderzoek RAAK.PRO.03.006
6 · The paper itself

Abstract

backgroundGait speed is often used to estimate the walking ability in daily life in people after stroke. While measuring gait with inertial measurement units (IMUs) during clinical assessment yields additional information, it remains unclear if this information can improve the estimation of the walking ability in daily life beyond gait speed.

objectiveWe evaluated the additive value of IMU-based gait features over a simple gait-speed measurement in the estimation of walking ability in people after stroke.

methodsLongitudinal data during clinical stroke rehabilitation were collected. The assessment consisted of two parts and was administered every three weeks. In the first part, participants walked for two minutes (2MWT) on a fourteen-meter path with three IMUs attached to low back and feet, from which multiple gait features, including gait speed, were calculated. The dimensionality of the corresponding gait features was reduced with a principal component analysis. In the second part, gait was measured for two consecutive days using one ankle-mounted IMU. Next, three measures of walking ability in daily life were calculated, including the number of steps per day, and the average and maximal gait speed. A gait-speed-only Linear Mixed Model was used to estimate the association between gait speed and each of the three measures of walking ability. Next, the principal components (PC), derived from the 2MWT, were added to the gait-speed-only model to evaluate if they were confounders or effect modifiers.

resultsEighty-one participants were measured during rehabilitation, resulting in 198 2MWTs and 135 corresponding walking-performance measurements. 106 Gait features were reduced to nine PCs with 85.1% explained variance. The linear mixed models demonstrated that gait speed was weakly associated with the average and maximum gait speed in daily life and moderately associated with the number of steps per day. The PCs did not considerably improve the outcomes in comparison to the gait speed only models.

conclusionsGait in people after stroke assessed in a clinical setting with IMUs differs from their walking ability in daily life. More research is needed to determine whether these discrepancies also occur in non-laboratory settings, and to identify additional non-gait factors that influence walking ability in daily life.

Indexed as

StrokeWalking SpeedGaitHumansLower ExtremityWalkingAccelerometerCerebrovascular accidentDaily life gait characteristicsFunctional gait assessmentGait qualityInertial measurement unitsStroke recoveryWalking ability

Identifiers

PMID38627674
PMCPMC11022465
OpenAlexW4394874033

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.