Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; School of Public Health, Lanzhou University, Lanzhou, China.
J Clin Epidemiol. 2019 Sep;113:214-227. doi: 10.1016/j.jclinepi.2019.05.022. Epub 2019 May 28.
The aim of the study was to investigate the general characteristics and methodological and reporting quality of network meta-analyses (NMAs) published in the Cochrane library.
We conducted a comprehensive search of the Cochrane library in April 2018 and included 42 NMAs. We used the Assessing the Methodological Quality of Systematic Reviews (AMSTAR) 2 to assess methodological quality and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA)-NMA for reporting quality. Stratified analysis and correlation analysis were conducted to explore the factors that might affect the quality.
A total of 42 NMAs investigated 29 topics. The compliance of PRISMA-NMA was moderate. Only 26.2% NMAs described the geometry of network, 64.3% presented the network plot, and 33.3% fully assessed the inconsistency. The overall methodological quality was low. Only 11.9% NMAs explained the selection of study designs, and 40.5% investigated the publication bias. The compliance of PRISMA-NMA was higher with the increase of the AMSTAR 2 compliance rates (Spearman's ρ = 0.630, P = 0.000). NMAs with statistical or epidemiological authors often better reported the titles (P = 0.032). Compared with nonfunding NMAs, nonindustry funding NMAs often better reported data collection process (P = 0.028), planned methods of analysis (P = 0.034), and synthesis of results (P = 0.028).
The quality still needs to be further improved, especially referring to the assessment of publication bias, the geometry of network, and assessment and exploration of inconsistency.
本研究旨在调查发表在 Cochrane 图书馆中的网络荟萃分析(NMAs)的一般特征、方法学和报告质量。
我们于 2018 年 4 月对 Cochrane 图书馆进行了全面检索,纳入了 42 项 NMAs。我们使用评估系统评价方法学质量(AMSTAR 2)来评估方法学质量,使用系统评价和荟萃分析的 Preferred Reporting Items(PRISMA-NMA)来评估报告质量。我们进行了分层分析和相关分析,以探讨可能影响质量的因素。
共有 42 项 NMAs 调查了 29 个主题。PRISMA-NMA 的符合率为中等。只有 26.2%的 NMAs 描述了网络的几何形状,64.3%呈现了网络图,33.3%全面评估了不一致性。整体方法学质量较低。只有 11.9%的 NMAs 解释了研究设计的选择,40.5%调查了发表偏倚。随着 AMSTAR 2 符合率的增加,PRISMA-NMA 的符合率更高(Spearman's ρ=0.630,P=0.000)。具有统计学或流行病学作者的 NMAs 通常更好地报告了标题(P=0.032)。与非资助 NMAs 相比,非产业资助 NMAs 通常更好地报告了数据收集过程(P=0.028)、计划的分析方法(P=0.034)和结果综合(P=0.028)。
质量仍需进一步提高,特别是在评估发表偏倚、网络的几何形状以及评估和探索不一致性方面。