The safety and efficacy of biologic agents in treatment of systemic lupus erythematosus: A network meta-analysis

Objective: Previous studies have shown that biologic agents out of the nine medicines might be beneficial for the treatment of SLE. The aim of this study was to evaluate the most effective medication of six biologic agents in treatment of SLE using network meta-analysis (NMA). The performance of these processes is ranked according to the results of this analysis. Methods: Multiple databases including PubMed, EMBASE and Cochrane Library was used to identify applicable articles and collect relevant data to analyzed by using STATA (13.0) software. The papers included in this study were divided into control group (placebo) and observation group (one of the six medicines). Results: A total of 21 eligible RCTs of biologic agents were identified, a total of 995 papers were included, and the results showed that the belimumab had the highest probability of being the most clinically efficacious intervention, with a surface under the cumulative ranking (SUCRA) curve of 75.0, was significantly superior (P < 0.05) to placebo alone. The blisibimod was the worst, with a SUCRA value of 29.4. The other biologic agents (atacicept, blisibimod, epratuzumab, rituximab, tabalumab) were insignificantly superior (P > 0.05) to placebo alone. Conclusions: Belimumab had the highest probability of being the best treatment for SLE compared with the other biologic agents (atacicept, blisibimod, epratuzumab, rituximab, tabalumab). The other biologic agents indicated an insignificant difference in efficacy for the treatment of SLE compared with placebo. doi: https://doi.org/10.12669/pjms.35.6.771 How to cite this:Tao MJ, Cheng P, Jin LR, Zhou J, Shi W, Peng H, et al. The safety and efficacy of biologic agents in treatment of systemic lupus erythematosus: A network meta-analysis. Pak J Med Sci. 2019;35(6):1680-1686. doi: https://doi.org/10.12669/pjms.35.6.771 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.