Literature DB >> 7763148

Biofeedback therapy in poststroke rehabilitation: a meta-analysis of the randomized controlled trials.

M Glanz1, S Klawansky, W Stason, C Berkey, N Shah, H Phan, T C Chalmers.   

Abstract

OBJECTIVE: To assess the efficacy of biofeedback therapy in poststroke rehabilitation.
DESIGN: A meta-analysis of the reported randomized control trials of biofeedback therapy in poststroke rehabilitation was performed. Data were analyzed using the effect size method and pooled using the Der Simonian-Laird Random Effects Model. Study quality was assessed according to the method of Chalmers.
SETTING: All included studies were conducted in academically based rehabilitation settings. PATIENTS: Patients were in the rehabilitative phase of their illness. The timing of the intervention from the acute event did vary greatly between and within studies. INTERVENTION: Biofeedback therapy was applied to a paretic limb of patients in the study group. Both treatment and control groups received standard physical therapy. MAIN OUTCOME MEASURE: Change in range of motion of a joint of a paretic limb as a result of treatment was examined. This measure was chosen after the eligible studies were evaluated for combinable end points.
RESULTS: A total of eight studies were included in the analysis. The mean effect size for change in lower extremity range of motion as a result of biofeedback therapy was 1.50 (95% confidence interval [CI]: -0.59, 3.59). For the upper extremity the effect size was 2.30 (95% CI: -1.06, 5.66). Both results were not significant at the p < .05 level. Statistical tests showed significant heterogeneity among studies, validating the use of the Random Effects Model.
CONCLUSION: Results of pooling available randomized control trials do not support the efficacy of biofeedback in restoring the range of motion of hemiparetic joints. Nevertheless, because the calculated mean effect sizes were large, with associated wide confidence intervals, the possibility of a type II error masking an important clinical benefit needs to be considered in evaluating this result.

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Mesh:

Year:  1995        PMID: 7763148     DOI: 10.1016/s0003-9993(95)80503-6

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  5 in total

1.  Recent developments in biofeedback for neuromotor rehabilitation.

Authors:  He Huang; Steven L Wolf; Jiping He
Journal:  J Neuroeng Rehabil       Date:  2006-06-21       Impact factor: 4.262

Review 2.  Biofeedback therapy in stroke rehabilitation: a review.

Authors:  M Glanz; S Klawansky; T Chalmers
Journal:  J R Soc Med       Date:  1997-01       Impact factor: 5.344

Review 3.  Interventions for improving upper limb function after stroke.

Authors:  Alex Pollock; Sybil E Farmer; Marian C Brady; Peter Langhorne; Gillian E Mead; Jan Mehrholz; Frederike van Wijck
Journal:  Cochrane Database Syst Rev       Date:  2014-11-12

4.  A Virtual Reality Muscle-Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study.

Authors:  Octavio Marin-Pardo; Christopher M Laine; Miranda Rennie; Kaori L Ito; James Finley; Sook-Lei Liew
Journal:  Sensors (Basel)       Date:  2020-07-04       Impact factor: 3.576

Review 5.  EMG biofeedback for the recovery of motor function after stroke.

Authors:  H Woodford; C Price
Journal:  Cochrane Database Syst Rev       Date:  2007-04-18
  5 in total

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