ABSTRACT
To evaluate the efficacy and safety of different Chinese patent medicines in the treatment of pelvic inflammatory disease(PID) using network Meta-analysis. The databases of CNKI, Wanfang, VIP, SinoMed, PubMed, Cochrane Library, EMbase, and Web of Science were searched, and from the time of database construction to July 16, 2023, the randomized controlled trial(RCT) of Chinese patent medicines combined with antibiotics in the treatment of PID included in these databases was collected. The quality of the included literature was evaluated using the Cochrane risk of bias tool, and data was analyzed using RevMan 5.4 and Stata 16 software. Forty-six RCTs were finally included, including Kangfu Xiaoyan Suppositories, Fuke Qianjin Tablets/Capsules, Kangfuyan Capsules, Fuyanxiao Capsules, Huahong Tablets/Capsules, Fuyanshu Capsules, Fuyue Tablets, Jingangteng Capsules, and Fuyan Kangfu Capsules. Network Meta-analysis showed that,(1) in terms of clinical effective rate, the optimal intervention was Kangfu Xiaoyan Suppositories combined with antibiotics.(2) In terms of lowering hypersensitive C-reactive protein(hs-CRP), the optimal intervention was Huahong Tablets/Capsules combined with antibiotics.(3) In terms of lowering tumor necrosis factor-α(TNF-α), the optimal intervention was Fuyue Tablets combined with antibiotics.(4) In terms of lowering recurrence rate, the optimal intervention was Fuyanshu Capsules combined with antibiotics.(5) In terms of safety, the intervention with the least adverse reactions was Kangfuyan Capsules combined with antibiotics. The results show that Chinese patent medicines combined with antibiotics in the treatment of PID can improve the comprehensive efficacy, reduce the patient's hs-CRP and TNF-α, and have a low recurrence rate, as well as safe and reliable efficacy. In clinical treatment, Kangfu Xiaoyan Suppositories or Kangfuyan Capsules combined with antibiotics can be preferred. Due to the limitations of the sample size and the quality of the literature, more large-sample and high-quality studies are needed to validate the conclusions.
