Stroke is a neurological disorder and one of the leading causes of disability worldwide. The patient may lose the ability to adequately move the extremities, perceive sensations, or ambulate independently. Recent experimental studies have reported the beneficial influence of virtual reality training strategies on improving overall functional abilities for stroke survivors.
Conducted a systematic review of the literature using the following keywords to retrieve the data: stroke, virtual reality, motor deficits, neurorehabilitation, cognitive impairments, and sensory deficits. A random-effect meta-analysis was performed for seven scales - one cognitive (MMSE) and six motor (Fugl-Meyer, Berg Balance Scale, Time up and go, Wolf motor function, 10 m walk, Brunnstrom score).
To organize and compare all the available data regarding the effectiveness of virtual reality for stroke rehabilitation.
This literature reviewed 150 studies and included 46 for qualitative and 27 for quantitative analysis. There was no statistically significant difference between groups in MMSE score (MD = 0.24, 95%CI = ((-0.42) -(0.9)), 
This review supports that stroke rehabilitation programs incorporating virtual reality are associated with improved functional outcomes, but there is no statistically significant difference compared to standard therapy.

Virtual reality in post-stroke neurorehabilitation - a systematic review and meta-analysis.

Kinematic analysis and clinical outcome measures with established responsiveness contribute to the quantified assessment of upper-limb function post-stroke, the selection of interventions and the differentiation of motor recovery patterns.
This systematic review and meta-analysis aimed to report trends in use and compare the responsiveness of kinematic and clinical measures in studies measuring the effectiveness of constraint-induced movement, trunk restraint and bilateral arm therapies for upper-limb function after stroke.
In this systematic review, randomised controlled trials implementing kinematic analysis and clinical outcome measures to evaluate the effects of therapies in post-stroke adults were eligible. We searched 8 electronic databases (MEDLINE, EMBASE, Web of Science, Scopus, CINAHL, CENTRAL, OTseeker and Pedro). Risk of bias was assessed according to the Cochrane Risk of Bias domains. A meta-analysis was conducted for repeated design measures of pre- and post-test data providing estimated standardised mean differences (SMDs).
We included reports of 12 studies (191 participants) reporting kinematic smoothness, movement duration and efficiency, trunk and shoulder range of motion, control strategy and velocity variables in conjunction with assessment by Motor Activity Log, Fugl-Meyer Assessment and Wolf Motor Function Test. Responsiveness was higher (i.e., non-overlap of 95% confidence intervals [CIs]) for Motor Activity Log score (SMD for amount of use 1.0, 95% CI 0.75-1.25, P<0.001; SMD for quality of movement 0.96, 95% CI 0.72-1.20, P<0.001) than movement efficiency, trunk and shoulder range of motion, control strategy and peak velocity.
These results are consistent with current literature supporting the use of combined kinematic and clinical measures for comprehensive and accurate evaluation of upper-limb function post-stroke. Future research should include other design trials and rehabilitation types to confirm these findings, focusing on subgroup analysis of type of rehabilitation intervention and functional levels.

Papers