Liu Qian, Liu Zuoyan, Xu Yang, Liu Li, Wang Fang, Zhao Fanyu, Cheng Hong, Hu Xiuying
Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Department of Rehabilitation Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
PLoS One. 2025 Jan 28;20(1):e0304322. doi: 10.1371/journal.pone.0304322. eCollection 2025.
Post-stroke movement disorders are common, especially upper limb dysfunction, which seriously affects the physical and mental health of stroke patients. With the continuous development of intelligent technology, robot-assisted therapy has become a research hotspot in the upper limb rehabilitation of stroke patients in recent years. Many scholars have also integrated robot-assisted therapy with other interventions to improve rehabilitation outcomes. However, there is a lack of research to determine which auxiliary intervention is the best. Therefore, this protocol aims to guide the development of a network meta-analysis, which helps determine the most suitable auxiliary interventions for robot-assisted therapy.
Published randomized controlled trials will be included if robot-assisted therapy or robot-assisted therapy associated with other different interventions was applied in stroke patients with upper limb dysfunction in the experimental group and usual rehabilitation treatment and care was applied in the control group. CINAHL, PubMed, Web of Science, MEDLINE, Embase, CNKI, and Wanfang electronic databases will be searched. Studies should be published between January 1, 2013, and December 31, 2023. Two reviewers will independently select studies and extra data, and assess the quality of the included studies. The risk of bias will be evaluated based on the Cochrane Collaboration's risk of bias tool. The evidence quality will be measured according to the Grading of Recommendations Assessment, Development and Evaluation. A network meta-analysis will be conducted by using STATA version 15.0 and R version 4.1.3. The probabilities of rehabilitation interventions will be ranked according to the surface under the cumulative ranking curve.
Ethical approval is not needed for reviewing published studies. The results will be submitted to a journal.
PROSPERO registration number: CRD42023486570.
中风后运动障碍很常见,尤其是上肢功能障碍,严重影响中风患者的身心健康。随着智能技术的不断发展,机器人辅助治疗近年来已成为中风患者上肢康复的研究热点。许多学者还将机器人辅助治疗与其他干预措施相结合,以改善康复效果。然而,缺乏研究来确定哪种辅助干预是最佳的。因此,本方案旨在指导网络荟萃分析的开展,这有助于确定机器人辅助治疗最合适的辅助干预措施。
如果实验组对上肢功能障碍的中风患者应用机器人辅助治疗或与其他不同干预措施相关的机器人辅助治疗,而对照组采用常规康复治疗和护理,则纳入已发表的随机对照试验。将检索CINAHL、PubMed、科学网、MEDLINE、Embase、中国知网和万方电子数据库。研究发表时间应为2013年1月1日至2023年12月31日。两名评审员将独立选择研究和额外数据,并评估纳入研究的质量。将根据Cochrane协作网的偏倚风险工具评估偏倚风险。证据质量将根据推荐分级评估、制定和评价进行衡量。将使用STATA 15.0版和R 4.1.3版进行网络荟萃分析。康复干预措施的概率将根据累积排序曲线下的面积进行排序。
审查已发表的研究无需伦理批准。研究结果将提交给一家期刊。
PROSPERO注册号:CRD42023486570。