Background: We hypothesized a class effect of currently available long-acting muscarinic antagonists (LAMAs; i.e. tiotropium as a dry powder inhaler or a soft mist inhaler, aclidinium bromide, and glycopyrronium) in preventing chronic obstructive pulmonary disease (COPD) exacerbations. The hypothesis was tested with a network meta-analysis. Methods: Several databases and manufacturer's websites were searched for relevant clinical trials. Randomized, controlled trials, of at least 12 weeks duration, comparing a LAMA with placebo or another LAMA were included. Moderate-to-severe and severe exacerbations were chosen as the outcome assessment criteria. The data were pooled using network metaanalysis. Results: A total of 27 studies with 48,140 subjects were included. All LAMAs reduced moderate-to-severe exacerbations compared with placebo. However, there were no statistically significant differences in preventing moderate-to-severe or severe exacerbations among LABAs. In a subgroup analysis restricting studies to those that had a minimum of 6 months of treatment, glycopyrronium was associated with the least-effective strategy and aclidinium was associated with the greatest probability of being the best therapy in preventing severe exacerbations. Our meta-regression analysis suggested that the prevention of COPD exacerbations were less effective in studies which allowed concomitant use of a long-acting beta agonist (LABA). Conclusion: All LAMAs were equally effective in preventing moderate-to-severe exacerbations. Aclidinium was associated with the lowest risk for severe exacerbations when treatment duration was 6 months or longer. The concomitant use of LABA may not enhance the efficacy of LAMAs in preventing COPD exacerbations. More studies are needed to further examine above findings.Keywords: aclidinium bromide, glycopyrronium, tiotropium , 2004]. The purpose of this study was to systematically review the efficacy of available LAMA formulations in preventing COPD-related exacerbations with a MTC meta-analysis. To assess the impact of LAMAs on moderate-tosevere and severe exacerbations, data were extracted in the form of rates and given as the number of events per person-years observed. When the number of events was not available in a given study, we substituted the number of subjects who experienced an exacerbation. We assumed that each of the log hazard ratios had been sampled from a normal distribution and that the hazard was constant in each arm over the follow-up period. We gave vague priors for all trial baselines, treatment effects, and between-trial variances. The probability that each LAMA formulation was associated with being the most efficacious treatment was calculated by counting the proportion of iterations of the Markov chain in which each LAMA formulation had the highest HR. The surface under the cumulative ranking (SUCRA), which is a simple numerical summary of these probabilities, was also calculated. The SUCRA would be 100% when a treatment is certain to be the best and 0% when a treat...