Evidence map›Paper›PMID 31772604›Full record

ArticleApplied bionics and biomechanics2019

Kinematic Parameters for Tracking Patient Progress during Upper Limb Robot-Assisted Rehabilitation: An Observational Study on Subacute Stroke Subjects.

Michela Goffredo, Stefano Mazzoleni, Annalisa Gison, Francesco Infarinato, Sanaz Pournajaf, Daniele Galafate, Maurizio Agosti, Federico Posteraro, Marco Franceschini

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Article in Applied bionics and biomechanics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Robot enhanced stroke therapy optimizes rehabilitation (RESTORE): a pilot study.Journal of neuroengineering and rehabilitation · 2021
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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

9 authors.

Michela GoffredoDepartment of Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.ORCID https://orcid.org/0000-0002-2651-8479
Stefano MazzoleniThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.ORCID https://orcid.org/0000-0002-9528-3239
Annalisa GisonDepartment of Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.
Francesco InfarinatoDepartment of Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.ORCID https://orcid.org/0000-0002-5570-8490
Sanaz PournajafDepartment of Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.
Daniele GalafateDepartment of Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.
Maurizio AgostiRehabilitation Medicine Service, NHS-University Hospital of Parma, Parma, Italy.
Federico PosteraroRehabilitation Department, Versilia Hospital, AUSL Tuscany North West, Camaiore, Italy.ORCID https://orcid.org/0000-0001-7174-0805
Marco FranceschiniDepartment of Neurorehabilitation, IRCCS San Raffaele Pisana, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUpper limb robot-assisted therapy (RT) provides intensive, repetitive, and task-specific treatment, and its efficacy for stroke survivors is well established in literature. Biomechanical data from robotic devices has been widely employed for patient's assessment, but rarely it has been analysed for tracking patient progress during RT. The goal of this retrospective study is to analyse built-in kinematic data registered by a planar end-effector robot for assessing the time course of motor recovery and patient's workspace exploration skills. A comparison of subjects having mild and severe motor impairment has been also conducted. For that purpose, kinematic data recorded by a planar end-effector robot have been processed for investigating how motor performance in executing point-to-point trajectories with different directions changes during RT.

methodsObservational retrospective study of 68 subacute stroke patients who conducted 20 daily sessions of upper limb RT with the InMotion 2.0 (Bionik Laboratories, USA): planar point-to-point reaching tasks with an "assist as needed" strategy. The following kinematic parameters (KPs) were computed for each subject and for each point-to-point trajectory executed during RT: movement accuracy, movement speed, number of peak speed, and task completion time. The Wilcoxon signed-rank tests were used with clinical outcomes. the Friedman test and post hoc Conover's test (Bonferroni's correction) were applied to KPs. A secondary data analysis has been conducted by comparing patients having different severities of motor impairment. The level of significance was set at

resultsAt the RT onset, the movements were less accurate and smoothed, and showed higher times of execution than those executed at the end of treatment. The analysis of the time course of KPs highlighted that RT seems to improve the motor function mainly in the first sessions of treatment: most KPs show significant intersession differences during the first 5/10 sessions. Afterwards, no further significant variations occurred. The ability to perform movements away from the body and from the hemiparetic side remains more challenging. The results obtained from the data stratification show significant differences between subjects with mild and severe motor impairment.

conclusionSignificant improvements in motor performance were registered during the time course of upper limb RT in subacute stroke patients. The outcomes depend on movement direction and motor impairment and pave the way to optimize healthcare resources and to design patient-tailored rehabilitative protocols.

Identifiers

PMID31772604
PMCPMC6854217

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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.