Robot-assisted rehabilitation therapy has been used to increase physical function in post-stroke patients. The aim of this meta-analysis was to identify whether robot-assisted gait training can improve patients’ functional abilities. A comprehensive search was performed of PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Physiotherapy Evidence Database (PEDro), Academic Search Premier (ASP), ScienceDirect, Korean Studies Information Service System (KISS), Research Information Sharing Service (RISS), Korea National Library, and the Korean Medical Database up to April, 2014. Fifteen eligible studies researched the effects of robot-assisted gait training to a control group. All outcome measures were classified by International Classification of Functioning, Disability, and Health (ICF) domains (body function and structures, activity, and participation) and were pooled for calculating the effect size. The overall effect size of the robot-assisted gait training was .356 [95% confidence interval (CI): .186∼.526]. When the effect was compared by the type of electromechanical robot, Gait Trainer (GT) (.471, 95% CI: .320∼.621) showed more effective than Lokomat (.169, 95% CI: .063∼.275). In addition, acute stroke patients showed more improvement than others. Although robot-assisted gait training may improve function, but there is no scientific evidence about the appropriate treatment time for one session or the appropriate duration of treatment. Additional researchers are needed to include more well-designed trials in order to resolve these uncertainties.

Abstract
 Ⅰ. 서론
 Ⅱ. 연구방법
  1. 분석대상
  2. 분석대상연구의 특성과 자료코딩
  3. 표본 추출의 동질성 검정 및 효과크기의 계산
 Ⅲ. 결과
  1. 보행 재활치료 로봇 적용 시 전체 효과크기
  2. 랜덤효과모형을 활용한 범주형 변수별 분석
  3. 출판오류(publication bias)
 Ⅳ. 고찰
 Ⅴ. 결론
 References

• 박소연(상지대학교 보건과학대학 물리치료학과) | So-yeon Park Corresponding author