Meta-analysis of pyrosequencing for the rapid detection of isoniazid-resistance in Mycobacterium tuberculosis

异烟肼 结核分枝杆菌 荟萃分析 英哈 焦测序 肺结核 生物 医学 基因 遗传学 内科学 病理
作者
Qi Guo,Jue Li,Zhongyi Hu
出处
期刊:Chinese Journal of Laboratory Medicine [Chinese Medical Association]
卷期号:36 (04): 329-332 被引量:1
标识
DOI:10.3760/cma.j.issn.1009-9158.2013.04.009
摘要

Objective To evaluate the accuracy of pyrosequencing for the mutation detection of katG gene in isoniazid resistance in Mycobacterium tuberculosis using Meta-analysis. Methods Searching PubMed,Web of Science,Elsevier,and China National Knowledge Infrastructure (CNKI),Weipu and WANFANG DATA to obtain the relevant English and Chinese-language articles,respectively.A written protocol and explicit study selection criteria was followed.Quality of included trials was assessed by QUADAS (quality assessment of diagnostic accuracy studies).Subsequently,the characteristics of the included articles were appraised and extracted.Heterogeneity of the included articles was tested by using STATA 10.0,which was used to select proper effect model.The fixed effects model was adopted using Meta-Disc software.Finally,sensitivity analysis was performed. Results Totally 114 research papers were collected and 9 articles were selected.The accordance between pyrosequencing and conventional sequencing result was 100%.Eight studies were involved including 945 specimens when katG gene was detected.The overall sensitivity and specificity were 0.77 (0.73,0.80) and 1.00 (0.99,1.00),respectively.The area under the SROC was 0.9882.As inhA gene was detected,the overall sensitivity and specificity were 0.19 (0.15,0.24) and 1.00 (0.98,1.00).The test was stable. Conclusions Our meta-analysis reveals that pyrosequencing is a highly specific tool for detection mutation of katG gene of isoniazid resistance.This result suggests that it is useful for screening of isoniazid resistance in diagnostic test.(Chin J Lab Med,2013,36:329-332) Key words: Sequence analysis; DNA; Mycobacterium tuberculosis; Isoniazid; Drug resistance; bacterial; Meta-analysis
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