Systematic review of guidelines to identify recommendations for upper limb robotic rehabilitation after stroke

Introduction: Upper limb motor impairment is one of the most frequent stroke consequences. robot therapy may represent a valid option for upper limb stroke rehabilitation, but there are still gaps between research evidence and their use in clinical practice. the aim of this study was to determine the quality, scope, and consistency of guidelines clinical practice recommendations for upper limb robotic rehabilitation in stroke populations. EVidEncE acQuisition: We searched for guideline recommendations on stroke published between January 1st, 2010 and January 1st, 2020. only the most recent guidelines for writing group were selected. Electronic databases (n.=4), guideline repertories and professional rehabilitation networks (n.=12) were searched. We systematically reviewed and assessed guidelines containing recommendation statements about upper limb robotic rehabilitation for adults with stroke (prospEro registration number: crd42020173386). EVidEncE synthEsis: four independent reviewers used the appraisal of Guidelines for research and Evaluation (aGrEE) ii instrument, and textual syntheses were used to appraise and compare recommendations. from 1324 papers that were screened, eight eligible guidelines were identified from six different regions/countries. Half of the included guidelines focused on stroke management, the other half on stroke rehabilitation. rehabilitation assisted by robotic devices is generally recommended to improve upper limb motor function and strength. the exact characteristics of patients who could benefit from this treatment as well as the correct timing to use it are not known. CONCLUSIONS: This systematic review has identified many opportunities to modernize and otherwise improve stroke patients’ upper limb robotic therapy. rehabilitation assisted by robot or electromechanical devices for stroke needs to be improved in clinical practice guidelines in particular in terms of applicability