Evidence map›Paper›PMID 25217124›Full record

SynthesisJournal of neuroengineering and rehabilitation2014

Assessment of movement quality in robot- assisted upper limb rehabilitation after stroke: a review.

Nurdiana Nordin, Sheng Quan Xie, Burkhard Wünsche

5 registry-linked trialsOpen access · goldAbstract 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 5 registered trials, which are not on this map. Cited by 86 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 7 pooled it
17.5field-weighted citation impact, top 1% 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.

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

86 citing papers in PubMed, 7 syntheses or guidelines pooled it, 267 citations in OpenAlex.

  1. Upper limb soft robotic wearable devices: a systematic review.Journal of neuroengineering and rehabilitation · 2022
    Pooled it
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  4. A survey of human shoulder functional kinematic representations.Medical & biological engineering & computing · 2019
    Pooled it
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  6. The potential of real-time fMRI neurofeedback for stroke rehabilitation: A systematic review.Cortex; a journal devoted to the study of the nervous system and behavior · 2018
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26 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

3 authors at 1 institution in 3 countries.

Nurdiana NordinDepartment of Mechanical Engineering, The University of Auckland, 20 Symonds Street, Auckland, New Zealand. nurdiana@utem.edu.my.
Sheng Quan Xie
Burkhard Wünsche
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

: Studies of stroke patients undergoing robot-assisted rehabilitation have revealed various kinematic parameters describing movement quality of the upper limb. However, due to the different level of stroke impairment and different assessment criteria and interventions, the evaluation of the effectiveness of rehabilitation program is undermined. This paper presents a systematic review of kinematic assessments of movement quality of the upper limb and identifies the suitable parameters describing impairments in stroke patients. A total of 41 different clinical and pilot studies on different phases of stroke recovery utilizing kinematic parameters are evaluated. Kinematic parameters describing movement accuracy are mostly reported for chronic patients with statistically significant outcomes and correlate strongly with clinical assessments. Meanwhile, parameters describing feed-forward sensorimotor control are the most frequently reported in studies on sub-acute patients with significant outcomes albeit without correlation to any clinical assessments. However, lack of measures in coordinated movement and proximal component of upper limb enunciate the difficulties to distinguish the exploitation of joint redundancies exhibited by stroke patients in completing the movement. A further study on overall measures of coordinated movement is recommended.

Indexed as

RoboticsStroke RehabilitationBiomechanical PhenomenaHumansMovementUpper Extremity

Identifiers

PMID25217124
PMCPMC4180322
OpenAlexW2110367281

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.