Evidence map›Paper›PMID 29325901›Full record

ArticleJournal of biomechanics2018

Dynamic structure of lower limb joint angles during walking post-stroke.

Kelley Kempski, Louis N Awad, Thomas S Buchanan, Jill S Higginson, Brian A Knarr

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

Article in Journal of biomechanics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 at 3 institutions in 1 country.

Kelley KempskiDepartment of Biomedical Engineering, University of Delaware, Newark, DE, United States.
Louis N AwadDepartment of Physical Therapy & Athletic Training, Boston University, Boston, MA, United States; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United States.
Thomas S BuchananDepartment of Biomedical Engineering, University of Delaware, Newark, DE, United States; Department of Mechanical Engineering, University of Delaware, Newark, DE, United States.
Jill S HigginsonDepartment of Biomedical Engineering, University of Delaware, Newark, DE, United States; Department of Mechanical Engineering, University of Delaware, Newark, DE, United States.
Brian A KnarrDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, NE, United States. Electronic address: bknarr@unomaha.edu.
University of Delaware · USBoston University · USUniversity of Nebraska at Omaha · US

Funding

Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI KINGSTON, DAVID C · 2014 to 2023
$20.5M
Institutional Career DevelopmentKL2TR001411 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MORONE, NATALIA E. · 2015 to 2024
$5.9M
Pilot Project ProgramP30GM103333 · NIGMS · UNIVERSITY OF DELAWARE · PI BUCHANAN, THOMAS S · 2012 to 2016
$5.7M
NCATS NIH HHS KL2 TR001411NIGMS NIH HHS P20 GM109090NIGMS NIH HHS P30 GM103333
6 · The paper itself

Abstract

backgroundVariability in joint kinematics is necessary for adaptability and response to everyday perturbations; however, intrinsic neuromotor changes secondary to stroke often cause abnormal movement patterns. How these abnormal movement patterns relate to joint kinematic variability and its influence on post-stroke walking impairments is not well understood.

objectiveThe purpose of this study was to evaluate the movement variability at the individual joint level in the paretic and non-paretic limbs of individuals post-stroke.

methodsSeven individuals with hemiparesis post-stroke walked on a treadmill for two minutes at their self-selected speed and the average speed of the six-minute walk test while kinematics were recorded using motion-capture. Variability in hip, knee, and ankle flexion/extension angles during walking were quantified with the Lyapunov exponent (LyE). Interlimb differences were evaluated.

resultsThe paretic side LyE was higher than the non-paretic side at both self-selected speed (Hip: 50%; Knee: 74%), and the average speed of the 6-min walk test (Hip: 15%; Knee: 93%).

conclusionDifferences in joint kinematic variability between limbs of persons post-stroke supports further study of the source of non-paretic limb deviations as well as the clinical implications of joint kinematic variability in persons post-stroke. The development of bilaterally-targeted post-stroke gait interventions to address variability in both limbs may promote improved outcomes.

Indexed as

Mechanical PhenomenaWalkingBiomechanical PhenomenaExercise TestGaitHumansJointsLower ExtremityMaleMiddle AgedParesisStrokeGaitNonlinear analysisStrokeVariability

Identifiers

PMID29325901
PMCPMC5858158
OpenAlexW2773212650

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.