Literature DB >> 25690684

Assessment of spasticity after stroke using clinical measures: a systematic review.

Saleh M Aloraini1,2, Johan Gäverth1,3, Ellen Yeung1, Marilyn MacKay-Lyons1.   

Abstract

PURPOSE: To identify and appraise the literature on clinical measures of spasticity that has been investigated in people after stroke.
METHODS: The literature search involved four databases (PubMed, CINAHL, Embase and The Cochrane Library) up to February 2014. The selected studies included those that aimed to measure spasticity using a clinical assessment tool among adult patients post-stroke. Two independent raters reviewed the included articles using a critical appraisal scale and a structured data extraction form.
RESULTS: A total of 40 studies examining 15 spasticity assessment tools in patients post-stroke were reviewed. None of the reviewed measurement tools demonstrated satisfactory results for all psychometric properties evaluated, and the majority lacked evidence concerning validity and absolute reliability.
CONCLUSION: This systematic review found limited evidence to support the use of most of clinical measures of spasticity for people post-stroke. Future research examining the application and psychometric properties of these measures is warranted. Implications for Rehabilitation There is a need for objective clinical tools for measuring spasticity that are clinically feasible and easily interpreted by clinicians. This review identified various clinical measures of spasticity that have been investigated in people after stroke. Insufficient evidence of psychometric properties precludes recommending one tool over the others. Future research should focus on investigating the psychometric properties of clinical measures of spasticity.

Entities:  

Keywords:  Clinical assessment tools; muscle spasticity; psychometric properties; stroke rehabilitation; systematic review

Mesh:

Year:  2015        PMID: 25690684     DOI: 10.3109/09638288.2015.1014933

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  14 in total

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2.  The "Beam-Me-In Strategy" - remote haptic therapist-patient interaction with two exoskeletons for stroke therapy.

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3.  Contralateral seventh cervical nerve transfer can affect the pennation angle of the lower limb in spastic hemiplegia patients: An observational case series study.

Authors:  Bao-Fu Yu; Li-Wen Chen; Yan-Qun Qiu; Jing Xu; Hua-Wei Yin; Qin-Ying Li; Wen-Dong Xu
Journal:  Brain Behav       Date:  2019-11-13       Impact factor: 2.708

Review 4.  Advanced quantitative estimation methods for spasticity: a literature review.

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Journal:  J Int Med Res       Date:  2019-12-04       Impact factor: 1.671

5.  Validity and reliability of myotonometry for assessing muscle viscoelastic properties in patients with stroke: a systematic review and meta-analysis.

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6.  Effectiveness of Radial Extracorporeal Shock Wave Therapy and Visual Feedback Balance Training on Lower Limb Post-Stroke Spasticity, Trunk Performance, and Balance: A Randomized Controlled Trial.

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7.  Cerebellar Intermittent Theta-Burst Stimulation Reduces Upper Limb Spasticity After Subacute Stroke: A Randomized Controlled Trial.

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Review 8.  Contribution of Single-Fiber Evaluation on Monitoring Outcomes Following Injection of Botulinum Toxin-A: A Narrative Review of the Literature.

Authors:  Hélène Moron; Corine Gagnard-Landra; David Guiraud; Arnaud Dupeyron
Journal:  Toxins (Basel)       Date:  2021-05-17       Impact factor: 4.546

9.  Electroacupuncture for poststroke spasticity (EAPSS): protocol for a randomised controlled trial.

Authors:  Charlie Changli Xue; Zehuai Wen; Yiyi Cai; Claire Shuiqing Zhang; Wenwei Ouyang; Jianmin Li; Wenheng Nong; Anthony Lin Zhang
Journal:  BMJ Open       Date:  2018-02-27       Impact factor: 2.692

Review 10.  Robot-Aided Systems for Improving the Assessment of Upper Limb Spasticity: A Systematic Review.

Authors:  Rubén de-la-Torre; Edwin Daniel Oña; Carlos Balaguer; Alberto Jardón
Journal:  Sensors (Basel)       Date:  2020-09-14       Impact factor: 3.576

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