Evidence map›Paper›PMID 38638271›Full record

ReviewFrontiers in robotics and AI2024

Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environments.

Giulia A Albanese, Anna Bucchieri, Jessica Podda, Andrea Tacchino, Stefano Buccelli, Elena De Momi, Matteo Laffranchi, Kailynn Mannella, Michael W R Holmes, Jacopo Zenzeri and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in robotics and AI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.7field-weighted citation impact, top 5% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
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

13 authors at 4 institutions in 2 countries.

Giulia A AlbaneseReWing s.r.l., Milan, Italy.
Anna BucchieriRehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Jessica PoddaScientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy.
Andrea TacchinoScientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy.
Stefano BuccelliRehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Elena De MomiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Matteo LaffranchiRehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Kailynn MannellaDepartment of Kinesiology, Brock University, St. Catharines, ON, Canada.
Michael W R HolmesDepartment of Kinesiology, Brock University, St. Catharines, ON, Canada.
Jacopo ZenzeriReWing s.r.l., Milan, Italy.
Lorenzo De MichieliRehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Giampaolo BrichettoScientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy.
Giacinto BarresiRehab Technologies Lab, Istituto Italiano di Tecnologia, Genoa, Italy.
Italian Institute of Technology · ITAssociazione Italiana Sclerosi Multipla · ITBrock University · CAPolitecnico di Milano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The robotics discipline is exploring precise and versatile solutions for upper-limb rehabilitation in Multiple Sclerosis (MS). People with MS can greatly benefit from robotic systems to help combat the complexities of this disease, which can impair the ability to perform activities of daily living (ADLs). In order to present the potential and the limitations of smart mechatronic devices in the mentioned clinical domain, this review is structured to propose a concise SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of robotic rehabilitation in MS. Through the SWOT Analysis, a method mostly adopted in business management, this paper addresses both internal and external factors that can promote or hinder the adoption of upper-limb rehabilitation robots in MS. Subsequently, it discusses how the synergy with another category of interaction technologies - the systems underlying virtual and augmented environments - may empower Strengths, overcome Weaknesses, expand Opportunities, and handle Threats in rehabilitation robotics for MS. The impactful adaptability of these digital settings (extensively used in rehabilitation for MS, even to approach ADL-like tasks in safe simulated contexts) is the main reason for presenting this approach to face the critical issues of the aforementioned SWOT Analysis. This methodological proposal aims at paving the way for devising further synergistic strategies based on the integration of medical robotic devices with other promising technologies to help upper-limb functional recovery in MS.

Indexed as

augmented realitydigital healthmultiple sclerosisrehabilitationroboticsSWOTvirtual reality

Identifiers

PMID38638271
PMCPMC11025362
OpenAlexW4392192490

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.