Evidence map›Paper›PMID 35120546›Full record

Trial reportJournal of neuroengineering and rehabilitation2022

A randomized clinical control study on the efficacy of three-dimensional upper limb robotic exoskeleton training in chronic stroke.

Antonio Frisoli, Michele Barsotti, Edoardo Sotgiu, Giuseppe Lamola, Caterina Procopio, Carmelo Chisari

2 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 28 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 8 pooled it
4.9field-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.

NCT03319992 phase2completednot on this map

Robotic Assisted Task-Oriented Rehabilitation of Upper Limb for Chronic Stroke Patients

TypeinterventionalSponsorScuola Superiore di Studi Universitari e di Perfezionamento Sant'AnnaRan2016 to 2018Enrolled26ConditionsCerebrovascular Accident (CVA), Chronic Disease, Stroke RehabilitationArmsUpper Arm Rehabilitation Light Exoskeleton (RH-LEXOS)
NCT06906588 narecruitingnot on this mapstarted 2024, after this paper: background citation

Effects of Bilateral Upper Limb Robot-assisted Rehabilitation on Motor Recovery in Patients With Subacute Stroke: an Italian Multicenter Randomized Controlled Trial

TypeinterventionalSponsorIRCCS San Raffaele RomaRan2024 to 2026Enrolled70ConditionsStroke, Sabacute StrokeArmsExperimental, Control
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 8 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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  3. Efficacy of digital health technologies as adjunctive functional training in occupational therapy for stroke rehabilitation: a 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

6 authors at 3 institutions in 2 countries.

Antonio FrisoliInstitute of Mechanical Intelligence, Scuola Superiore Sant'Anna of Pisa, PERCRO Lab, Via Alamanni, 13b, San Giuliano Terme, Ghezzano, 56010, Pisa, Italy. antonio.frisoli@santannapisa.it.ORCID 0000-0002-7126-4113
Michele BarsottiInstitute of Mechanical Intelligence, Scuola Superiore Sant'Anna of Pisa, PERCRO Lab, Via Alamanni, 13b, San Giuliano Terme, Ghezzano, 56010, Pisa, Italy.
Edoardo SotgiuINL-International Iberian Nanotechnology Laboratory, Braga, Portugal.
Giuseppe LamolaUniversity Hospital of Pisa, Pisa, Italy.
Caterina ProcopioInstitute of Mechanical Intelligence, Scuola Superiore Sant'Anna of Pisa, PERCRO Lab, Via Alamanni, 13b, San Giuliano Terme, Ghezzano, 56010, Pisa, Italy.
Carmelo ChisariUniversity Hospital of Pisa, Pisa, Italy.
Scuola Superiore Sant'Anna · ITAzienda Ospedaliera Universitaria Pisana · ITInternational Iberian Nanotechnology Laboratory · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough robotics assisted rehabilitation has proven to be effective in stroke rehabilitation, a limited functional improvements in Activities of Daily Life has been also observed after the administration of robotic training. To this aim in this study we compare the efficacy in terms of both clinical and functional outcomes of a robotic training performed with a multi-joint functional exoskeleton in goal-oriented exercises compared to a conventional physical therapy program, equally matched in terms of intensity and time. As a secondary goal of the study, it was assessed the capability of kinesiologic measurements-extracted by the exoskeleton robotic system-of predicting the rehabilitation outcomes using a set of robotic biomarkers collected at the baseline.

methodsA parallel-group randomized clinical trial was conducted within a group of 26 chronic post-stroke patients. Patients were randomly assigned to two groups receiving robotic or manual therapy. The primary outcome was the change in score on the upper extremity section of the Fugl-Meyer Assessment (FMA) scale. As secondary outcome a specifically designed bimanual functional scale, Bimanual Activity Test (BAT), was used for upper limb functional evaluation. Two robotic performance indices were extracted with the purpose of monitoring the recovery process and investigating the interrelationship between pre-treatment robotic biomarkers and post-treatment clinical improvement in the robotic group.

resultsA significant clinical and functional improvements in both groups (p < 0.01) was reported. More in detail a significantly higher improvement of the robotic group was observed in the proximal portion of the FMA (p < 0.05) and in the reduction of time needed for accomplishing the tasks of the BAT (p < 0.01). The multilinear-regression analysis pointed out a significant correlation between robotic biomarkers at the baseline and change in FMA score (R

conclusionExoskeleton-based robotic upper limb treatment might lead to better functional outcomes, if compared to manual physical therapy. The extracted robotic performance could represent predictive indices of the recovery of the upper limb. These results are promising for their potential exploitation in implementing personalized robotic therapy. Clinical Trial Registration clinicaltrials.gov, NCT03319992 Unique Protocol ID: RH-UL-LEXOS-10. Registered 20.10.2017, https://clinicaltrials.gov/ct2/show/NCT03319992.

Indexed as

Exoskeleton DeviceStrokeStroke RehabilitationHumansPhysical Therapy ModalitiesRecovery of FunctionTreatment OutcomeUpper ExtremityExoskeletonRobotic biomarkersRobotic rehabilitation trainingStroke

Identifiers

PMID35120546
PMCPMC8817500
OpenAlexW4220898104

What Socratic 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 Socratic graph.