Evidence map›Paper›PMID 36904730›Full record

ArticleSensors (Basel, Switzerland)2023

Repeatability and Temporal Consistency of Lower Limb Biomechanical Variables Expressing Interlimb Coordination during the Double-Support Phase in People with and without Stroke Sequelae.

Ana G B Couto, Mário A P Vaz, Liliana Pinho, José Félix, Juliana Moreira, Francisco Pinho, Inês Albuquerque Mesquita, António Mesquita Montes, Carlos Crasto, Andreia S P Sousa

Full text read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Ana G B CoutoDepartment of Physiotherapy, Santa Maria Health School, 4049-024 Porto, Portugal.ORCID 0000-0003-0953-348X
Mário A P VazInstitute of Mechanical Engineering and Industrial Management, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.ORCID 0000-0002-6347-9608
Liliana PinhoCentre for Rehabilitation Research (CIR), School of Health of Polytechnic Institute of Porto, 4200-072 Porto, Portugal.ORCID 0000-0001-6751-5269
José FélixCentre for Rehabilitation Research (CIR), School of Health of Polytechnic Institute of Porto, 4200-072 Porto, Portugal.ORCID 0000-0003-4498-573X
Juliana MoreiraCentre for Rehabilitation Research (CIR), School of Health of Polytechnic Institute of Porto, 4200-072 Porto, Portugal.ORCID 0000-0003-0123-4960
Francisco PinhoCollege of Health Sciences-Escola Superior de Saúde do Vale do Ave, Cooperative for Higher, Polytechnic and University Education, 4760-409 Vila Nova de Famalicão, Portugal.
Inês Albuquerque MesquitaCentre for Rehabilitation Research (CIR), School of Health of Polytechnic Institute of Porto, 4200-072 Porto, Portugal.
António Mesquita MontesDepartment of Physiotherapy, Santa Maria Health School, 4049-024 Porto, Portugal.
Carlos CrastoDepartment of Physiotherapy, Santa Maria Health School, 4049-024 Porto, Portugal.ORCID 0000-0003-4279-4235
Andreia S P SousaDepartment of Physiotherapy, School of Health of Polytechnic Institute of Porto, 4200-072 Porto, Portugal.ORCID 0000-0001-9528-1463

Funding

Fundação para a Ciência e Tecnologia UIDB/05210/2020
6 · The paper itself

Abstract

Reliable biomechanical methods to assess interlimb coordination during the double-support phase in post-stroke subjects are needed for assessing movement dysfunction and related variability. The data obtained could provide a significant contribution for designing rehabilitation programs and for their monitorisation. The present study aimed to determine the minimum number of gait cycles needed to obtain adequate values of repeatability and temporal consistency of lower limb kinematic, kinetic, and electromyographic parameters during the double support of walking in people with and without stroke sequelae. Eleven post-stroke and thirteen healthy participants performed 20 gait trials at self-selected speed in two separate moments with an interval between 72 h and 7 days. The joint position, the external mechanical work on the centre of mass, and the surface electromyographic activity of the tibialis anterior, soleus, gastrocnemius medialis, rectus femoris, vastus medialis, biceps femoris, and gluteus maximus muscles were extracted for analysis. Both the contralesional and ipsilesional and dominant and non-dominant limbs of participants with and without stroke sequelae, respectively, were evaluated either in trailing or leading positions. The intraclass correlation coefficient was used for assessing intra-session and inter-session consistency analysis. For most of the kinematic and the kinetic variables studied in each session, two to three trials were required for both groups, limbs, and positions. The electromyographic variables presented higher variability, requiring, therefore, a number of trials ranging from 2 to >10. Globally, the number of trials required inter-session ranged from 1 to >10 for kinematic, from 1 to 9 for kinetic, and 1 to >10 for electromyographic variables. Thus, for the double support analysis, three gait trials were required in order to assess the kinematic and kinetic variables in cross-sectional studies, while for longitudinal studies, a higher number of trials (>10) were required for kinematic, kinetic, and electromyographic variables.

Indexed as

Lower ExtremityStrokeBiomechanical PhenomenaCross-Sectional StudiesDisease ProgressionElectromyographyGaitHumansMuscle, SkeletalWalkingelectromyographic parametersgaithuman movement variabilitykinematic parameterskinetic parameterspost-stroketest–retest reliability

Identifiers

PMID36904730
PMCPMC10007500

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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.