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- Title
Effectiveness of Neurodynamic Interventions in Patients With Stroke: Protocol for a Systematic Review and Meta-analysis.
- Authors
Seid, Abubeker Alebachew; Moloro, Abdulkerim Hassen
- Abstract
Background: Stroke is the most common and serious neurological condition, which can lead to death, limited functionality, and reduced quality of life. Studies with conflicting results and various methodological limitations have been conducted to assess the effectiveness of neurodynamic interventions for patients with stroke. Objective: This systematic review and meta-analysis aimed to investigate the pooled effectiveness of different neurodynamic interventions on patients with stroke. Methods: The PubMed, PEDro, and Google Scholar databases will be searched for studies published with full text in the English language from inception to date. Randomized controlled trials evaluating the effect of different neurodynamic techniques on patients with stroke will be included. The primary outcome measures will include pain, disability/function, and quality of life. Secondary outcome measures will include physical performance measures such as balance, range of motion, muscle strength, and specific diagnostic and neurodynamic test outcomes. The screening, data extraction, and methodological quality assessment will be performed by two independent reviewers. The PEDro scale will be used to systematically appraise the methodological quality. Review Manager V.5.4 software will be used for statistical analysis. Weighted mean difference or standardized mean difference with 95% CIs and P values will be used to calculate the treatment effect for each outcome variable. Results: Search terms and search databases have been identified. The data extraction sheet has also been developed. This study is expected to be completed by the end of 2022. Conclusions: This study will provide up-to-date evidence on the effectiveness and use of neurodynamic interventions for patients with stroke in clinical practice.
- Subjects
STROKE; QUALITY of life; LIBRARY science; MEDICAL screening; DATA extraction
- Publication
JMIR Research Protocols, 2022, Vol 11, Issue 9, p1
- ISSN
1929-0748
- Publication type
Article
- DOI
10.2196/38956