[1]王超然,杨宗强,牛宁奎.宏基因组二代测序技术对结核病诊断价值的Meta分析[J].医学信息,2024,37(05):20-26.[doi:10.3969/j.issn.1006-1959.2024.05.003]
 WANG Chao-ran,YANG Zong-qiang,NIU Ning-kui.Meta-analysis of the Diagnostic Value of Metagenomic Next-generation Sequencing Technology for Tuberculosis[J].Journal of Medical Information,2024,37(05):20-26.[doi:10.3969/j.issn.1006-1959.2024.05.003]
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宏基因组二代测序技术对结核病诊断价值的Meta分析()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
37卷
期数:
2024年05期
页码:
20-26
栏目:
医学数据科学
出版日期:
2024-03-01

文章信息/Info

Title:
Meta-analysis of the Diagnostic Value of Metagenomic Next-generation Sequencing Technology for Tuberculosis
文章编号:
1006-1959(2024)05-0020-07
作者:
王超然杨宗强牛宁奎
(1.宁夏医科大学总医院骨科,宁夏 银川 750004;2.宁夏医科大学临床医学院,宁夏 银川 750004)
Author(s):
WANG Chao-ranYANG Zong-qiangNIU Ning-kui
(1.Department of Orthopedics,General Hospital of Ningxia Medical University,Yinchuan 750004,Ningxia,China;2.School of Clinical Medicine,Ningxia Medical University,Yinchuan 750004,Ningxia,China)
关键词:
宏基因组二代测序分子诊断技术结核病
Keywords:
Metagenomic next-generation sequencingMolecular diagnostic technologyTuberculosis
分类号:
R825.2
DOI:
10.3969/j.issn.1006-1959.2024.05.003
文献标志码:
A
摘要:
目的 应用Meta分析评价宏基因组二代测序技术在结核病诊断中的应用价值。方法 检索PubMed MEDLINE、Ovid MEDLINE、Web of Science、Cochrane Library、EMbase、Scopus、中国知网、万方、维普数据库中有关宏基因组二代测序技术应用于诊断结核病的相关文献,检索时限为建库至2021年10月31日,由2名研究者独立进行文献检索、筛选、数据提取、质量评价。使用MetaDISc 1.4软件进行阈值效应和异质性检验、数据的合并分析,使用StataMP 16软件绘制Deek’s漏斗图评估发表偏倚。结果 共检索出623篇文献,依据纳入和排除标准最终纳入14项研究,涉及2159个样本,其中结核病样本964个。Meta分析结果显示,宏基因组二代测序技术诊断结核病的合并敏感度为0.600(95%CI:0.568~0.631),合并特异度为0.985(95%CI:0.976~0.991),合并阳性似然比为30.513(95%CI:18.536~50.226),合并阴性似然比为0.414(95%CI:0.357~0.481),合并诊断比值比为77.408(95%CI:46.090~130.010),合并曲线下面积为0.9680,合并Q*值为0.9167。Deek’s漏斗图提示不存在发表偏倚(P>0.05)。结论 宏基因组二代测序技术对结核病具有较高的诊断价值,可作为快速诊断的有效方法。
Abstract:
Objective To evaluate the diagnostic value of metagenomic next-generation sequencing technology for tuberculosis using Meta-analysis.Methods PubMed MEDLINE, Ovid MEDLINE, Web of Science, Cochrane Library, EMbase, Scopus, CNKI, Wanfang, and VIP databases were searched for relevant literature on the application of metagenomic next-generation sequencing technology in the diagnosis of tuberculosis. The search time was from the establishment of the database to October 31, 2021. Two researchers independently performed literature search, screening, data extraction, and quality evaluation. MetaDISc 1.4 software was used to test the threshold effect and heterogeneity, and the data were combined and analyzed. StataMP 16 software was used to draw Deek’s funnel plot to evaluate publication bias.Results A total of 623 papers were retrieved. According to inclusion and exclusion criteria, 14 studies involving 2159 samples, including 964 tuberculosis samples. Meta-analysis showed that the pooled sensitivity of metagenomic next-generation sequencing technology for the diagnosis of tuberculosis was 0.600 (95%CI:0.568-0.631), the pooled specificity was 0.985 (95%CI:0.976-0.991), the pooled positive likelihood ratio was 30.513 (95%CI:18.536-50.226), the pooled negative likelihood ratio was 0.414 (95%CI:0.357-0.481), the pooled diagnostic odds ratio was 77.408 (95%CI:46.090-130.010), the pooled area under the curve was 0.9680 and the pooled Q*-value was 0.9167. Deek’s funnel plot suggested no publication bias (P>0.05).Conclusion The metagenomic next-generation sequencing technology has high diagnostic value for tuberculosis, and can be used as an effective method for rapid diagnosis.

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更新日期/Last Update: 1900-01-01