Multiplex real time polymerase chain reaction technique in detection of respiratory syncytial virus and adenovirus: a Meta analysis
10.3760/cma.j.issn.1003-9279.2018.05.021
- VernacularTitle: 多重荧光定量PCR方法在呼吸道合胞病毒和腺病毒检测中的Meta分析
- Author:
Li ZHAO
1
;
Guixia LI
2
;
Min ZHAO
3
;
Ji WANG
4
;
Ruiqing ZHANG
1
,
4
;
Zhishan FENG
2
;
Xuejun MA
4
Author Information
1. Hebei Medical University, Shijiazhuang 050031, China
2. Children′s Hospital of Hebei Province, Shijiazhuang 050031, China
3. Jing County People’s Hospital of Hebei Province, Jingxian 053500, China
4. National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- Publication Type:Journal Article
- Keywords:
Multiplex real time polymerase chain reaction;
Respiratory syncytial virus;
Adenoviros;
Meta-analysis
- From:
Chinese Journal of Experimental and Clinical Virology
2018;32(5):548-552
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To systematically review the diagnostic accuracies of multiplex real time polymerase chain reaction (MRT-PCR) technique for detection of respiratory syncytial virus (RSV) and adenovirus (ADV).
Methods:PubMed, EMBASE, Cochrane, Wanfang and CNKI databases were searched from January1 2010 to January1 2018, to collect reports on MRT-PCR for detection of common respiratory viruses. Then two authors independently exacted the data and assessed the risk of bias of included studies by using the QUADAS-2 tool. Meta-disc 1.4.
Results:Ten articles with 2528 cases were eligible for analysis. The result of meta-analysis showed that, the pooled Sen, Spe and area under SROC curve, for detecting RSV were 0.87 (95% CI 0.83 to 0.90), 0.98 (95% CI 0.97 to 0.98) and 1.00. The pooled Sen, Spe, and area under SROC curve of MRT-PCR for detecting ADV were 0.64 (95% CI 0.56 to 0.71), 0.99 (95% CI 0.98 to 0.99) and 0.99. Deeks test indicated that no publication bias was found.
Conclusions:The sensitivity of MRT-PCR in RSV and ADV detection is still to be improved, but the overall detection ability is good which deserves to be recommended for clinical use.
