Background and purpose: Lower extremity motor dysfunction is a common sequela in stroke patients, with a disability rate as high as 40%, significantly impairing patients' mobility and quality of life. Lower limb rehabilitation robots promote neural remodeling through high-intensity repetitive training, offering a novel approach for motor function recovery. However, there remains a lack of consensus regarding optimal training parameters, target populations, and intervention timing. This study systematically searched domestic and international databases, screened relevant evidence, and synthesized findings to provide an evidence-based foundation for clinical decision-making in lower extremity motor rehabilitation programs for stroke patients. Methods: Systematically search domestic and international guideline networks, relevant professional association websites, and databases for clinical decisions, recommended practices, guidelines, evidence summaries, expert consensus statements, systematic reviews, and randomized controlled trials regarding using lower extremity rehabilitation robots for motor rehabilitation in stroke patients. The search timeframe spans from database inception to October 17, 2024. Two researchers will independently conduct literature quality assessment, evidence extraction, and integration. Results: 13 articles were included, including 4 guidelines, 7 systematic reviews, 1 expert consensus, and 1 randomized controlled trial. The 24 best pieces of evidence were summarized from 7 aspects: multidisciplinary team combination, applicable conditions, rehabilitation management, exercise implementation, rehabilitation effect evaluation, abnormal training response, and precautions. Conclusions: This study is based on a number of high-quality evidence, standardizing related theories and clinical applications, which is scientific and cutting-edge, and provides practical, reliable, and valuable evidence-based reference and guidance for clinical medical workers to use lower limb rehabilitation robots. It is suggested that relevant research be carried out in the future to further enrich the evidence content and continuously improve the motion guidance system of lower extremity rehabilitation robots. During the clinical transformation process, combining the domestic clinical situation and carrying out personalized training based on the needs and physical performance of patients trained with lower limb rehabilitation robots is necessary.
Chen et al. (Thu,) studied this question.
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