Effects of electromyographic biofeedback interventions for shoulder pain and function: Systematic review and meta-analysis

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Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorKamonseki, Danilo Harudy-
Autor(es): dc.creatorCalixtre, Letícia Bojikian [UNESP]-
Autor(es): dc.creatorBarreto, Rodrigo Py Gonçalves-
Autor(es): dc.creatorCamargo, Paula Rezende-
Data de aceite: dc.date.accessioned2022-02-22T00:49:41Z-
Data de disponibilização: dc.date.available2022-02-22T00:49:41Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1177/0269215521990950-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/207255-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/207255-
Descrição: dc.descriptionObjective: To systematically review the effectiveness of electromyographic biofeedback interventions to improve pain and function of patients with shoulder pain. Design: Systematic review of controlled clinical trials. Literature search: Databases (Medline, EMBASE, CINAHL, PEDro, CENTRAL, Web of Science, and SCOPUS) were searched in December 2020. Study selection criteria: Randomized clinical trials that investigated the effects of electromyographic biofeedback for individuals with shoulder pain. Patient-reported pain and functional outcomes were collected and synthesized. Data synthesis: The level of evidence was synthesized using GRADE and Standardized Mean Differences and 95% confidence interval were calculated using a random-effects inverse variance model for meta-analysis. Results: Five studies were included with a total sample of 272 individuals with shoulder pain. Very-low quality of evidence indicated that electromyographic biofeedback was not superior to control for reducing shoulder pain (standardized mean differences = −0.21, 95% confidence interval: −0.67 to 0.24, P = 0.36). Very-low quality of evidence indicated that electromyographic biofeedback interventions were not superior to control for improving shoulder function (standardized mean differences = −0.11, 95% confidence interval: −0.41 to 0.19, P = 0.48). Conclusion: Electromyographic biofeedback may be not effective for improving shoulder pain and function. However, the limited number of included studies and very low quality of evidence does not support a definitive recommendation about the effectiveness of electromyographic biofeedback to treat individuals with shoulder pain.-
Descrição: dc.descriptionLaboratory of Analysis and Intervention of the Shoulder Complex Universidade Federal de São Carlos (UFSCar) São Carlos-
Descrição: dc.descriptionDepartment of Dental Materials and Prosthodontics Araraquara Dental School Universidade Estadual Paulista (UNESP), Araraquara-
Descrição: dc.descriptionDepartment of Dental Materials and Prosthodontics Araraquara Dental School Universidade Estadual Paulista (UNESP), Araraquara-
Idioma: dc.languageen-
Relação: dc.relationClinical Rehabilitation-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectfeedback-
Palavras-chave: dc.subjectmotor control-
Palavras-chave: dc.subjectRehabilitation-
Palavras-chave: dc.subjectscapula-
Palavras-chave: dc.subjectsubacromial-
Título: dc.titleEffects of electromyographic biofeedback interventions for shoulder pain and function: Systematic review and meta-analysis-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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