Department of Hand and Foot Surgery, Zibo Central Hospital,Shandong First Medical University, Zibo, Shandong, China
Department of Critical Care Medicine, Zibo central hospital, Zibo, Shandong, China
BMJ Glob Health. 2020 Nov;5(11). doi: 10.1136/bmjgh-2020-003053.
Respiratory viruses (RVs) is a common cause of illness in people of all ages, at present, different types of sampling methods are available for respiratory viral diagnosis. However, the diversity of available sampling methods and the limited direct comparisons in randomised controlled trials (RCTs) make decision-making difficult. We did a network meta-analysis, which accounted for both direct and indirect comparisons, to determine the detection rate of different sampling methods for RVs.
Relevant articles were retrieved comprehensively by searching the online databases of PubMed, Embase and Cochrane published before 25 March 2020. With the help of R V.3.6.3 software and 'GeMTC V.0.8.2' package, network meta-analysis was performed within a Bayesian framework. Node-splitting method and test combined leverage graphs and Gelman-Rubin-Brooks plots were conducted to evaluate the model's accuracy. The rank probabilities in direct and cumulative rank plots were also incorporated to rank the corresponding sampling methods for overall and specific virus.
16 sampling methods with 54 438 samples from 57 literatures were ultimately involved in this study. The model indicated good consistency and convergence but high heterogeneity, hence, random-effect analysis was applied. The top three sampling methods for RVs were nasopharyngeal wash (NPW), mid-turbinate swab (MTS) and nasopharyngeal swab (NPS). Despite certain differences, the results of virus-specific subanalysis were basically consistent with RVs: MTS, NPW and NPS for influenza; MTS, NPS and NPW for influenza-a and b; saliva, NPW and NPS for rhinovirus and parainfluenza; NPW, MTS and nasopharyngeal aspirate for respiratory syncytial virus; saliva, NPW and MTS for adenovirus and sputum; MTS and NPS for coronavirus.
This network meta-analysis provides supporting evidences that NPW, MTS and NPS have higher diagnostic value regarding RVs infection, moreover, particular preferred methods should be considered in terms of specific virus pandemic. Of course, subsequent RCTs with larger samples are required to validate our findings.
呼吸道病毒(RVs)是各年龄段人群患病的常见原因,目前有多种不同的采样方法可用于呼吸道病毒诊断。然而,由于可用采样方法的多样性以及随机对照试验(RCT)中直接比较的局限性,使得决策变得困难。我们进行了一项网络荟萃分析,该分析同时考虑了直接比较和间接比较,以确定不同采样方法对 RVs 的检测率。
通过检索 2020 年 3 月 25 日前在 PubMed、Embase 和 Cochrane 在线数据库中发表的相关文章,全面检索文献。借助 R V.3.6.3 软件和“GeMTC V.0.8.2”程序包,在贝叶斯框架内进行网络荟萃分析。采用节点分裂法和 t 检验结合杠杆图和 Gelman-Rubin-Brooks 图评估模型的准确性。还纳入了直接和累积秩图中的秩概率来对整体和特定病毒的相应采样方法进行排序。
最终纳入了 57 项研究中的 16 种采样方法,涉及 54438 个样本。该模型表明一致性和收敛性良好,但存在高度异质性,因此采用了随机效应分析。呼吸道病毒的三种最佳采样方法分别是鼻咽冲洗(NPW)、中鼻甲拭子(MTS)和鼻咽拭子(NPS)。尽管存在一定差异,但病毒特异性亚分析的结果基本与呼吸道病毒一致:流感病毒采用 MTS、NPW 和 NPS;流感病毒-a 和 b 采用 MTS、NPS 和 NPW;鼻病毒和副流感病毒采用唾液、NPW 和 NPS;呼吸道合胞病毒采用 NPW、MTS 和鼻咽抽吸;腺病毒和痰采用唾液、NPW 和 MTS;冠状病毒采用 MTS 和 NPS。
本网络荟萃分析提供了支持性证据,表明 NPW、MTS 和 NPS 对呼吸道病毒感染具有更高的诊断价值,此外,还应根据特定病毒流行情况考虑特定的首选方法。当然,还需要更大样本量的后续 RCT 来验证我们的发现。