Evidence map›Paper›PMID 25012864›Full record

SynthesisJournal of neuroengineering and rehabilitation2014

Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review.

Angelo Basteris, Sharon M Nijenhuis, Arno H A Stienen, Jaap H Buurke, Gerdienke B Prange, Farshid Amirabdollahian

6 registry-linked trialsAbstract readSystematic Review
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 6 registered trials, which are not on this map. Cited by 121 papers, 20 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 20 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.

NCT02721212 naunknown statusnot on this mapstarted 2016, after this paper: background citation

Impact of a New Technology to Functional Recovery Upper Limb in Post Stroke Patients: a Randomized Controlled Study

TypeinterventionalSponsorHabilita S.p.A.Ran2016 to 2016Enrolled54ConditionsStrokeArmsArmeo Spring, Conventional Rehabilitation
NCT03392493 nacompletednot on this mapstarted 2018, after this paper: background citation

The Effects on Hand Function With Robot-assisted Rehabilitation for Patients With Stroke

TypeinterventionalSponsorTaipei Medical University Shuang Ho HospitalRan2018 to 2018Enrolled25ConditionsStrokeArmsRobot-assisted hand rehabilitation, Standard treatment
NCT04296032 nacompletednot on this mapstarted 2020, after this paper: background citation

Effects of Wearable Sensor Based Virtual Reality Game on Upper Extremity Function for Patients With Stroke

TypeinterventionalSponsorTaipei Medical University Shuang Ho HospitalRan2020 to 2021Enrolled37ConditionsStrokeArmsvirtual reality game traning, standard treatment
NCT04983004 nacompletednot on this mapstarted 2021, after this paper: background citation

Effectiveness of Telerehabilitation Applied to Post-stroke Hospitalized Patients -A Randomized Controlled Trial

TypeinterventionalSponsorTaipei Medical University Shuang Ho HospitalRan2021 to 2022Enrolled24ConditionsStrokeArmstele-rehabilitation, bedside rehabilitation
NCT05302141 nacompletednot on this mapstarted 2022, after this paper: background citation

Effects of 3D Printing Assistive Device on ADL Function in Patients With Nerve Injury

TypeinterventionalSponsorTaipei Medical University Shuang Ho HospitalRan2022 to 2022Enrolled31ConditionsNerve InjuryArmsWear 3D printing assistive device, Wear universal cuff device
NCT06979934 nawithdrawnnot on this mapstarted 2021, after this paper: background citation

The Effect of 3D Printing Functional Splints on Hand Function for Patients With Stroke

TypeinterventionalSponsorTaipei Medical University Shuang Ho HospitalRan2021 to 2022Enrolled0ConditionsStrokeArms3D printing splint group, functional splint group
3 · Its place in the literature

Who cites it

121 citing papers in PubMed, 20 syntheses or guidelines pooled it.

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  12. Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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  18. Home-based technologies for stroke rehabilitation: A systematic review.International journal of medical informatics · 2019
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61 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

6 authors.

Angelo BasterisAdaptive Systems Research Group, School of Computer Science, University of Hertfordshire, College Lane, AL95HX Hatfield, United Kingdom. angelobasteris@gmail.com.
Sharon M Nijenhuis
Arno H A Stienen
Jaap H Buurke
Gerdienke B Prange
Farshid Amirabdollahian

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robot-mediated post-stroke therapy for the upper-extremity dates back to the 1990s. Since then, a number of robotic devices have become commercially available. There is clear evidence that robotic interventions improve upper limb motor scores and strength, but these improvements are often not transferred to performance of activities of daily living. We wish to better understand why. Our systematic review of 74 papers focuses on the targeted stage of recovery, the part of the limb trained, the different modalities used, and the effectiveness of each. The review shows that most of the studies so far focus on training of the proximal arm for chronic stroke patients. About the training modalities, studies typically refer to active, active-assisted and passive interaction. Robot-therapy in active assisted mode was associated with consistent improvements in arm function. More specifically, the use of HRI features stressing active contribution by the patient, such as EMG-modulated forces or a pushing force in combination with spring-damper guidance, may be beneficial.Our work also highlights that current literature frequently lacks information regarding the mechanism about the physical human-robot interaction (HRI). It is often unclear how the different modalities are implemented by different research groups (using different robots and platforms). In order to have a better and more reliable evidence of usefulness for these technologies, it is recommended that the HRI is better described and documented so that work of various teams can be considered in the same group and categories, allowing to infer for more suitable approaches. We propose a framework for categorisation of HRI modalities and features that will allow comparing their therapeutic benefits.

Indexed as

Stroke RehabilitationExercise TherapyHumansRoboticsUpper Extremity

Identifiers

PMID25012864
PMCPMC4108977

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.