Evidence map›Paper›PMID 34149587›Full record

ArticleFrontiers in neurology2021

Robotic Assisted Upper Limb Training Post Stroke: A Randomized Control Trial Using Combinatory Approach Toward Reducing Workforce Demands.

Aamani Budhota, Karen S G Chua, Asif Hussain, Simone Kager, Adèle Cherpin, Sara Contu, Deshmukh Vishwanath, Christopher W K Kuah, Chwee Yin Ng, Lester H L Yam and 5 more

Registry-linked trialOpen access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02188628 (Refinement and Clinical Evaluation of the H-Man), which is not on this map. Cited by 35 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 7 pooled it
5.1field-weighted citation impact, top 4% 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.

NCT02188628 nacompletednot on this map

Refinement and Clinical Evaluation of the H-Man: A Novel, Portable, Inexpensive Planar Robot for Arm Rehabilitation After Stroke

TypeinterventionalSponsorTan Tock Seng HospitalRan2014 to 2018Enrolled44ConditionsStrokeArmsH-Man, Additional Conventional Therapy
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 7 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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  18. Collaborative AI for precision neurorehabilitation: a roadmap.Journal of neuroengineering and rehabilitation · 2025
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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

15 authors at 4 institutions in 2 countries.

Aamani BudhotaInterdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore.
Karen S G ChuaCentre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Asif HussainRobotic Research Center, Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.
Simone KagerNUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore.
Adèle CherpinRobotic Research Center, Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.
Sara ContuRobotic Research Center, Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.
Deshmukh VishwanathCentre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Christopher W K KuahCentre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Chwee Yin NgCentre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Lester H L YamCentre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Yong Joo LohCentre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Deshan Kumar RajeswaranCentre for Advanced Rehabilitation Therapeutics, Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Liming XiangSchool of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, Singapore.
Etienne BurdetDepartment of Bioengineering, Imperial College of Science, Technology and Medicine, London, United Kingdom.
Domenico CampoloRobotic Research Center, Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.
Tan Tock Seng Hospital · SGNanyang Technological University · SGImperial College London · GBNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post stroke upper limb rehabilitation is a challenging problem with poor outcomes as 40% of survivors have functionally useless upper limbs. Robot-aided therapy (RAT) is a potential method to alleviate the effort of intensive, task-specific, repetitive upper limb exercises for both patients and therapists. The present study aims to investigate how a time matched combinatory training scheme that incorporates conventional and RAT, using H-Man, compares with conventional training toward reducing workforce demands. In a randomized control trial (NCT02188628, www.clinicaltrials.gov), 44 subacute to chronic stroke survivors with first-ever clinical stroke and predominant arm motor function deficits were recruited and randomized into two groups of 22 subjects: Robotic Therapy (RT) and Conventional Therapy (CT). Both groups received 18 sessions of 90 min; three sessions per week over 6 weeks. In each session, participants of the CT group received 90 min of 1:1 therapist-supervised conventional therapy while participants of the RT group underwent combinatory training which consisted of 60 min of minimally-supervised H-Man therapy followed by 30 min of conventional therapy. The clinical outcomes [Fugl-Meyer (FMA), Action Research Arm Test and, Grip Strength] and the quantitative measures (smoothness, time efficiency, and task error, derived from two robotic assessment tasks) were independently evaluated prior to therapy intervention (week 0), at mid-training (week 3), at the end of training (week 6), and post therapy (week 12 and 24). Significant differences within group were observed at the end of training for all clinical scales compared with baseline [mean and standard deviation of FMA score changes between baseline and week 6; RT: Δ4.41 (3.46) and CT: Δ3.0 (4.0);

Indexed as

assessmentrandomized control trialrobotic rehabilitationstrokeupper limb

Identifiers

PMID34149587
PMCPMC8206540
OpenAlexW3167848056

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.