Objective:Following the systematical analysis of effectiveness and safety about Traditional Chinese Medicine on treating ABO incompatibility, to make objective andcredible evaluation, and to provide evidence for clinical evidence-based medicine, and to instruct clinical medicine, meanwhile, to promote the generalization and application in treating ABO incompatibility by TCM.Methods’. Basing on evidence-based medicine and according to the inclusion and exclusion rules of the literatures, to search the randomized or quasi-randomized trials about treating ABO incompatibility by Traditional Chinese Medicine from CBM, CNKI, VIP, Wanfang database, Pubmed. After selecting literatures, collecting information, making quality evaluation on methodology,we can use Revman5.2software offered by the Cochrane to do the meta-analysis.Results:We identified11reports meeting the inclusion criteria for our review, including1040patients. There are579patients in experimental group and461patients in control group. Among the effective treatments, there are529patients in experimental group while282patients in control group. Among the hemolytic disease of newborn, there are15patients in experimental group while42patients in control group. Meta-analysis shows that the total effective rate,ORcombination=6.51(12=16%, fixed effect model,95%CI:4.61-9.19, P<0.00001), and the hemolytic disease of newborn rate, ORcombination=0.19(12=0%, fixed effect model,95%CI:0.10-0.35, P<0.00001), and neonatal pathologic jaundice rate, ORcombination=0.22(12=0%, fixed effect model,95%CI:0.07-0.74, P=0.01). According to the results of meta-analysis, Traditional Chinese Medicine has obvious effect in total effective rate and declining hemolytic disease of newborn rate comparing with western medicine.Conclusions:Traditional Chinese Medicine is more effective than western medicine in the treatment of ABO incompatibility. But because of the small number samples, theinconsistency of evaluation standard of final results, and the low quality of included studies, the result of meta-analysis would induce bias, which can influence argumentation intensity. |