Evidence map›Paper›PMID 40671078›Full record

SynthesisJournal of neuroengineering and rehabilitation2025

Upper limb robotic rehabilitation following stroke: a systematic review and meta-analysis investigating efficacy and the influence of device features and program parameters.

Kate Boardsworth, Usman Rashid, Sharon Olsen, Edgar Rodriguez-Ramirez, Will Browne, Gemma Alder, Nada Signal

Registry-linked trialAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07637123 (Evaluation of a Soft Elbow Exoskeleton and a Haptic Armband), which is not on this map. Cited by 21 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 7 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.

NCT07637123 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluation of a Soft Elbow Exoskeleton and a Haptic Armband: Feasibility, Usability, and Clinical Impact in Post-stroke and Parkinson's Disease Patients (EMBA-IP)

TypeinterventionalSponsorIRCCS San Raffaele RomaRan2026 to 2026Enrolled45ConditionsStroke, Parkinson DiseaseArmsWearable upper-limb rehabilitation devices
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  3. Combined transcranial direct current stimulation and mirror therapy for upper limb rehabilitation in patients with stroke: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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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

7 authors.

Kate BoardsworthAuckland University of Technology, Akoranga Drive, Northcote, Auckland, 0627, New Zealand.
Usman RashidNew Zealand College of Chiropractic, Harrison Road, Mount Wellington, Auckland, 1060, New Zealand.
Sharon OlsenAuckland University of Technology, Akoranga Drive, Northcote, Auckland, 0627, New Zealand.
Edgar Rodriguez-RamirezVictoria University of Wellington, Vivian Street, Te Aro, Wellington, 6011, New Zealand.
Will BrowneQueensland University of Technology, George St, Brisbane, QLD, 4000, Australia.
Gemma AlderAuckland University of Technology, Akoranga Drive, Northcote, Auckland, 0627, New Zealand.
Nada SignalAuckland University of Technology, Akoranga Drive, Northcote, Auckland, 0627, New Zealand. Nada.signal@aut.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollowing stroke, upper limb impairment is common and frequently limits ability to perform everyday activities. Due to limited resources, current therapy levels are insufficient to optimise functional improvement. Robotic devices have potential to augment upper limb stroke rehabilitation, but knowledge regarding the optimal device features and intervention parameters is limited. This systematic review and meta-analysis aimed to determine the efficacy of upper limb robotic rehabilitation compared with conventional rehabilitation, and to critically explore the device features and programme parameters that influence rehabilitation outcomes.

methodsSix electronic databases were searched for RCTs that compared dose-matched robotic versus conventional rehabilitation following stroke, and measured activity level changes in upper limb outcomes. The efficacy of robotic compared with conventional rehabilitation was evaluated using random-effects (I

resultsThe review included 54 studies, involving 2744 participants. Meta-analysis demonstrated that robotic rehabilitation had a small, statistically significant positive effect on upper limb capacity compared with conventional rehabilitation (SMD 0.14, 95% CI [0.02, 0.26]), however these gains were not maintained at follow-up (SMD 0.05, 95% CI [- 0.13, 0.24]). No significant differences were found between robotic and conventional rehabilitation for ADL outcomes either post-treatment (SMD 0.04, 95% CI [- 0.05, 0.13]) or at follow-up (SMD 0.05, 95% CI [- 0.13, 0.24]). Subgroup analyses provided crucial insights into the factors influencing robotic rehabilitation efficacy, revealing significant effects of device assistance (p = 0.0046), joints mobilized (p = 0.0133), degrees of freedom (p = 0.012), device laterality (p = 0.0048), and the number of devices used (p = 0.0001).

conclusionsThe results suggest that robotic rehabilitation does not result in clinically meaningful improvement in either upper limb capacity or ADL performance. However, this study's novel subgroup analyses highlight specific device features and intervention parameters that significantly influence efficacy. These findings provide critical guidance for the design, implementation, and future research of robotic rehabilitation.

Indexed as

RoboticsStroke RehabilitationUpper ExtremityHumansStrokeTreatment OutcomeActivities of daily livingMeta-analysisRehabilitationRoboticsStrokeSystematic reviewUpper limb

Identifiers

PMID40671078
PMCPMC12265130

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.