Hu Caixia, Qin Xiaohui, Ye Richun, Jiang Minqing, Lu Yuhua, Lin Changting
Department of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou, China.
Evid Based Complement Alternat Med. 2021 Jun 30;2021:9918687. doi: 10.1155/2021/9918687. eCollection 2021.
An increasing number of systematic reviews/meta-analyses (SRs/MAs) of clinical trials have begun to investigate the effects of traditional Chinese medicine (TCM) nursing in patients with stroke. To systematically appraise and synthesize these results, we conducted an overview of SRs/MAs.
Eight databases from their inception to April 2020 were searched to include all SRs/MAs on TCM nursing for stroke. Methodological quality assessment was performed using Assessing the Methodological Quality of Systematic Reviews 2 (AMSTAR-2) and evidence quality assessment was performed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE).
Eleven SRs/MAs regarding TCM nursing for stroke were included. The assessments with AMSTAR-2 indicated that the methodological quality of all included SRs/MAs was critically low. According to the evaluation results of GRADE, 10 (40%) outcomes were rated as critically low-quality evidence, 7 (28%) low-quality evidence, and 8 (32%) moderate-quality evidence. Descriptive analysis results showed that TCM nursing was effective for stroke.
All included SRs/MAs suggested positive findings of TCM nursing for stroke, but the credibility of the results is limited. Studies with methodologically rigorous and adequately powered are still needed in this field.
越来越多关于临床试验的系统评价/荟萃分析(SRs/MAs)开始研究中医护理对中风患者的影响。为了系统地评估和综合这些结果,我们进行了一项SRs/MAs的概述。
检索了8个从建库至2020年4月的数据库,以纳入所有关于中风中医护理的SRs/MAs。使用系统评价方法学质量评估2(AMSTAR-2)进行方法学质量评估,并使用推荐分级、评估、制定和评价(GRADE)进行证据质量评估。
纳入了11项关于中风中医护理的SRs/MAs。AMSTAR-2评估表明,所有纳入的SRs/MAs的方法学质量极低。根据GRADE的评估结果,10项(40%)结局被评为极低质量证据,7项(28%)为低质量证据,8项(32%)为中等质量证据。描述性分析结果表明,中医护理对中风有效。
所有纳入的SRs/MAs均表明中医护理对中风有积极结果,但结果的可信度有限。该领域仍需要方法学严谨且样本量充足的研究。