Evidence map›Paper›PMID 38714823›Full record

ArticleScientific reports2024

Stroke walking and balance characteristics via principal component analysis.

Jieun Cho, Sunghe Ha, Jooyoung Lee, Minseok Kim, Hogene Kim

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

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

  1. Pooled it
  2. Observational
  3. Article
  4. Article
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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

5 authors.

Jieun ChoTranslational Research Centre on Rehabilitation Robots, National Rehabilitation Centre, Ministry of Health & Welfare, Seoul, South Korea.
Sunghe HaDepartment of Physical Education, College of Sciences in Education, Yonsei University, Seoul, Korea.
Jooyoung LeeDepartment of Applied Statistics, Chung-Ang University, Seoul, South Korea.
Minseok KimDepartment of Applied Statistics, Chung-Ang University, Seoul, South Korea.
Hogene KimDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA. hogenekim@gmail.com.

Funding

Translational Research Centre for Rehabilitation Robots, Korea National Rehabilitation Centre, Ministry of Health and Welfare, South Korea #NRCTR-IN18003.
6 · The paper itself

Abstract

Balance impairment is associated gait dysfunction with several quantitative spatiotemporal gait parameters in patients with stroke. However, the link between balance impairments and joint kinematics during walking remains unclear. Clinical assessments and gait measurements using motion analysis system was conducted in 44 stroke patients. This study utilised principal component analysis to identify key joint kinematics characteristics of patients with stroke during walking using average joint angles of pelvis and bilateral lower limbs in every gait-cycle percentile related to balance impairments. Reconstructed kinematics showed the differences in joint kinematics in both paretic and nonparetic lower limbs that can be distinguished by balance impairment, particularly in the sagittal planes during swing phase. The impaired balance group exhibited greater joint variability in both the paretic and nonparetic limbs in the sagittal plane during entire gait phase and during terminal swing phase respectively compared with those with high balance scores. This study provides a more comprehensive understanding of stroke hemiparesis gait patterns and suggests considering both nonparetic and paretic limb function, as well as bilateral coordination in clinical practice. Principal component analysis can be a useful assessment tool to distinguish differences in balance impairment and dynamic symmetry during gait in patients with stroke.

Indexed as

GaitPostural BalancePrincipal Component AnalysisStrokeWalkingAdultAgedBiomechanical PhenomenaFemaleGait Disorders, NeurologicHumansMaleMiddle AgedBalance impairmentGaitKinematicsPrincipal component analysisStroke

Identifiers

PMID38714823
PMCPMC11076567

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.