Clinical Interventions in Aging (Oct 2018)
Identification of the optimal cognitive drugs among Alzheimer’s disease: a Bayesian meta-analytic review
Abstract
Jinghong Liang, Jiayu Li, Ruixia Jia, Yingquan Wang, Rongkun Wu, Hongbo Zhang, Lei Hang, Yong Xu Department of Child Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou, China Purpose: The increasing prevalence of Alzheimer’s disease (AD) demands more effective drugs, which are still unclear. The aim of this study is to compare the effectiveness of six drugs, such as donepezil, rivastigmine, galantamine, memantine, huperzine-A, and tacrine, in senior AD patients and identify the most effective one to improve patients’ cognitive function.Methods: A system of search strategies was used to identify relevant studies including randomized controlled trials and clinical controlled trials evaluating the efficacy of six drugs in patients with AD. We updated relevant studies that were published before March 2018 as full-text articles. Using Bayesian network meta-analysis (NMA), we ranked cognitive ability objectively based on Mini–Mental State Examination (MMSE). Pairwise and NMAs were sequentially performed for the efficacy of drugs compared to each drug or control group through the trials included.Results: Among the 35 trials included, no obvious heterogeneity (I2=0.0%, P=0.583) was revealed according to the pooled data for cognition in NMA and the mean difference (MD) of memantine (MD=1.7, 95% CI: 0.73, 2.8) showed that the memantine was significantly efficacious in the treatment group in terms of MMSE. Followed by galantamine, huperzine-A, rivastigmine, tacrine, and donepezil.Conclusion: As the first NMA comparing the major drugs in market for AD, our study suggests that memantine might have a more significant benefit on cognition than other five drugs available. Keywords: Alzheimer’s disease, cognitive drugs, Bayesian network meta-analysis
