Robotic-Assisted Rehabilitation for Post-Stroke Shoulder Pain: A Systematic Review.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
03 Oct 2023
Historique:
received: 23 08 2023
revised: 27 09 2023
accepted: 02 10 2023
medline: 23 10 2023
pubmed: 14 10 2023
entrez: 14 10 2023
Statut: epublish

Résumé

Post-stroke shoulder pain (PSSP) is a debilitating consequence of hemiplegia, often hindering rehabilitation efforts and further limiting motor recovery. With the advent of robotic-assisted therapies in neurorehabilitation, there is potential for innovative interventions for PSSP. This study systematically reviewed the current literature to determine the effectiveness of robotic-assisted rehabilitation in addressing PSSP in stroke patients. A comprehensive search of databases was conducted, targeting articles published up to August 2023. Studies were included if they investigated the impact of robotic-assisted rehabilitation on PSSP. The outcome of interest was pain reduction. The risk of bias was assessed using the Cochrane database. Of the 187 initially identified articles, 3 studies met the inclusion criteria, encompassing 174 patients. The reviewed studies indicated a potential benefit of robotic-assisted rehabilitation in reducing PSSP, with some studies also noting improvements in the range of motion and overall motor function. However, the results varied across studies, with some showing more significant benefits than others, because these use different protocols and robotic equipment.

Identifiants

pubmed: 37837068
pii: s23198239
doi: 10.3390/s23198239
pmc: PMC10575254
pii:
doi:

Types de publication

Systematic Review Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Rossana Gnasso (R)

Public Health Department, University of Napoli "Federico II", Via Pansini 5, 80131 Naples, Italy.

Stefano Palermi (S)

Public Health Department, University of Napoli "Federico II", Via Pansini 5, 80131 Naples, Italy.

Antonio Picone (A)

Public Health Department, University of Napoli "Federico II", Via Pansini 5, 80131 Naples, Italy.

Domiziano Tarantino (D)

Public Health Department, University of Napoli "Federico II", Via Pansini 5, 80131 Naples, Italy.

Giampiero Fusco (G)

Public Health Department, University of Napoli "Federico II", Via Pansini 5, 80131 Naples, Italy.

Maria Michelina Messina (MM)

Public Health Department, University of Napoli "Federico II", Via Pansini 5, 80131 Naples, Italy.

Felice Sirico (F)

Public Health Department, University of Napoli "Federico II", Via Pansini 5, 80131 Naples, Italy.

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Classifications MeSH