Meta-Analysis of Clinical Efficacy of Kidney-Tonifying and Marrow-Nourishing Therapy in Treatment of Alzheimers Disease
Objective To systematically evaluate the efficacy of tonifying kidney and nourishing marrow method on the treat-ment of Alzheimer's disease.Methods It retrieved 6 common databases at home and abroad from the time of database establish-ment to July 5,2022.The clinical randomized controlled trial literature of the treatment of Alzheimer's disease with the Chinese medicine compound of tonifying kidney and nourishing marrow was collected,and a Meta-analysis was conducted.Results A total of 12 literature studies were included,with a total of 733 patients,including 371 in the test group and 362 in the control group.The analysis results showed that using tonifying kidney and nourishing marrow method in the treatment of Alzheimer's disease was better than single normal western medicine treatment,which reflected on the outcome indications of clinical effectiveness rate[RR=1.63,95％CI(1.37,1.93),P＜0.000 01],the increase of MMSE score[MD=1.19,95％CI(0.98,1.40),P＜0.000 01],the decrease of ADAS-cog score[MD=-2.68,95％CI(-4.95,-0.40),P=0.02]and traditional Chinese medicine syn-drome scores[SMD=-0.64,95％CI(-0.92,-0.36),P＜0.000 01],however,there was no significant difference on the de-cline of ADL score[MD=-0.78,95％CI(-2.24,-0.40),P=0.69],both of two treatment method had similar efficacy.No obvious abnormal security indication or adverse reaction occurred to patients in all studies.Conclusion Comparing with single western medicine treatment of Alzheimer's disease,tonifying kidney and nourishing marrow method has certain advantage on clini-cal effectiveness rate,increasing the MMSE score and declining ADAS-cog and TCM syndrome scores.However,because most of the included documents are of low quality,it is still necessary to carry out large-scale,multi-center and high-quality clini-cal trials to further verify the conclusions.
traditional Chinese medicinetonifying kidney and nourishing marrow methodAlzheimer's diseaseMeta-analy-sissystematic review
NETL
NSTL
万方数据
