Evidence map›Paper›PMID 24931112›Full record

ArticleGait & posture2014

Dynamic instability during post-stroke hemiparetic walking.

Pei-Chun Kao, Jonathan B Dingwell, Jill S Higginson, Stuart Binder-Macleod

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

Article in Gait & posture, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
19.5field-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.

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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it, 128 citations in OpenAlex.

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  18. Temporal Evolution of Frontal Plane Center-of-Mass Transfer Asymmetry in Post-Stroke Gait.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
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3 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

4 authors at 2 institutions in 1 country.

Pei-Chun KaoDepartment of Physical Therapy, University of Delaware, Newark, DE 19713, USA. Electronic address: kaop@udel.edu.
Jonathan B DingwellDepartment of Kinesiology & Health Education, University of Texas, Austin, TX 78712, USA.
Jill S HigginsonDepartment of Mechanical Engineering, University of Delaware, Newark, DE 19716, USA.
Stuart Binder-MacleodDepartment of Physical Therapy, University of Delaware, Newark, DE 19713, USA.
University of Delaware · USThe University of Texas at Austin · US

Funding

Robotic Exoskeletons, FES, and Biomechanics: Treating Movement DisordersR01HD038582 · NICHD · UNIVERSITY OF DELAWARE · PI BINDER-MACLEOD, STUART A. · 2002 to 2012
$6.1M
Pilot Project ProgramP30GM103333 · NIGMS · UNIVERSITY OF DELAWARE · PI BUCHANAN, THOMAS S · 2012 to 2016
$5.7M
NICHD NIH HHS HD038582NICHD NIH HHS R01 HD038582NIGMS NIH HHS GM103333NIGMS NIH HHS P30 GM103333
6 · The paper itself

Abstract

Falls and fall-related injuries cause extremely costly and potentially fatal health problems in people post-stroke. However, there is no global indicator of walking instability for detecting which individuals will have increased risk of falls. The purposes of this study were to directly quantify walking stability in stroke survivors and neurologically intact controls and to determine which stability measures would reveal the changes in walking stability following stroke. This study thus provided an initial step to establish objective measures for identifying potential fallers. Nine post-stroke individuals and nine controls walked on a treadmill at four different speeds. We computed short-term local divergence exponent (LDE) and maximum Floquet multiplier (maxFM) of the trunk motion, average and variability of dynamic margins of stability (MOS) and step spatiotemporal measures. Post-stroke individuals demonstrated larger short-term LDE (p = 0.002) and maxFM (p = 0.041) in the mediolateral (ML) direction compared to the controls but remained orbitally stable (maxFM < 1). In addition, post-stroke individuals walked with greater average step width (p = 0.003) but similar average ML MOS (p = 0.154) compared to the controls. Post-stroke individuals also exhibited greater variability in all MOS and step measures (all p < 0.005). Our findings indicate that post-stroke individuals walked with greater local and orbital instability and gait variability than neurologically intact controls. The results suggest that short-term LDE of ML trunk motion and the variability of MOS and step spatiotemporal measures detect the changes in walking stability associated with stroke. These stability measures may have the potential for identifying those post-stroke individuals at increased risk of falls.

Indexed as

AdultAgedBiomechanical PhenomenaCase-Control StudiesExercise TestFemaleGait Disorders, NeurologicHemiplegiaHumansMaleMiddle AgedPostural BalanceRisk FactorsStrokeWalkingDynamic stabilityGaitMargins of stabilityNon-linear dynamicsStroke

Identifiers

PMID24931112
PMCPMC4251664
OpenAlexW2022195260

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.