Meta-analysis on Jin's Three-needle Therapy for the Treatment of Insomnia
Objective To evaluate the efficacy of Jin's three-needle therapy for the treatment of insomnia based on Meta-analysis.Methods Cochrance Library,Embase,Web of science,Pubmed,CBM,Wanfang Data,CNKI,VIP were retrieved.The RCTs of Jin's three-needle therapy in treating insomnia in the above 7 databases were collected since the establishment of the databases to June 1,2023.RevMan 5.4 software and Stata 16.0 software were used to perform Meta-analysis on the included studies.Results A total of 23 RCTs were included,with a total sample size of 1 884.Of these RCTs,21 reported clinical effective rate,21 reported Pittsburgh Sleep Quality Index scores(PSQI),5 reported TCM syndrome scores,3 reported recurrence rate,and 4 reported adverse event rate.Meta-analysis showed that the clinical effective rate of Jin's three-needle therapy in treating insomnia[MD=2.74,95%CI(1.81,4.71),P<0.000 01]was better than that of the control group;PSQI scores[MD=-3.49,95%CI(-4.73,-2.25),P<0.000 01],TCM syndrome scores[MD=-3.49,95%CI(-3.67,-3.31),P<0.000 01],recurrence rate[MD=0.33,95%CI(0.16,0.68),P=0.002],adverse event rate[MD=0.38,95%CI(0.18,0.78),P=0.009]were lower than those in the control group;the clinical effective rate of Jin's three-needle therapy combined with other therapies[MD=3.76,95%CI(2.31,6.10),P<0.000 01]was higher than that of the control group,and PSQI scores(PSQI)[MD=-3.32,95%CI(-4.78,-1.86),P<0.000 01]were lower than that of the control group.The funnel plot was roughly symmetrical,and Begg's test P=0.174>0.05 indicated that the results were basically reliable and there was no publication bias.The results of sensitivity analysis showed that no studies significantly reversed the results of meta-analysis,indicating that the results of included studies were reliable.Conclusion The clinical efficacy of Jin's three-needle therapy in treating insomnia has significantly improved,with a decrease in PSQI score and TCM syndrome scores.However,more large-scale and high-quality randomized controlled trials are still needed for verification.
万方数据
维普
