Evaluation of Xpert MTB/RIF for the Diagnosis of Lymphatic Tuberculosis
Background. The World Health Organization approved the use of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis DNA, which has significantly improved the diagnosis of tuberculosis. In this study, our main objective was to evaluate the diagnostic efficacy of Xpert MTB/RIF for lymphoid tub...
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Published in | BioMed research international Vol. 2020; no. 2020; pp. 1 - 11 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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Cairo, Egypt
Hindawi Publishing Corporation
2020
Hindawi Hindawi Limited |
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Abstract | Background. The World Health Organization approved the use of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis DNA, which has significantly improved the diagnosis of tuberculosis. In this study, our main objective was to evaluate the diagnostic efficacy of Xpert MTB/RIF for lymphoid tuberculosis to determine whether Xpert MTB/RIF could be used as a routine detection method. Materials and Methods. We searched four databases for the relevant literature published from May 2007 to December 2019. The quality of the literature was evaluated with reference to the evaluation criteria. Data that were extracted from the literature on Xpert MTB/RIF diagnosis of lymphatic tuberculosis were used to plot the summary receiver operating characteristic (SROC) curve, after which the software was used to combine and analyze the accuracy of these data. Results. A total of 27 studies were included. The sensitivity of Xpert MTB/RIF for detecting lymphatic tuberculosis was 0.79 (95% CI (0.77, 0.81)), the specificity was 0.88 (95% CI (0.87, 0.90)), and the positive likelihood ratio (PLR) was 7.21 (95% CI (4.93, 10.55)). In addition, the negative likelihood ratio (NLR) was 0.25 (95% CI (0.19, 0.32)) and the diagnostic odds ratio (DOR) was 40.23 (95% CI (24.53, 65.98)). At the same time, we used the extracted data to make the SROC curve, obtaining the following parameters: area under the curve AUC=0.9144, Q=0.8470 (SE=0.0163). Conclusion. Xpert MTB/RIF has high accuracy in detecting lymphatic tuberculosis, and it can be used to quickly and easily diagnose lymphatic tuberculosis at an early stage as a general method. |
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AbstractList | Background. The World Health Organization approved the use of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis DNA, which has significantly improved the diagnosis of tuberculosis. In this study, our main objective was to evaluate the diagnostic efficacy of Xpert MTB/RIF for lymphoid tuberculosis to determine whether Xpert MTB/RIF could be used as a routine detection method. Materials and Methods. We searched four databases for the relevant literature published from May 2007 to December 2019. The quality of the literature was evaluated with reference to the evaluation criteria. Data that were extracted from the literature on Xpert MTB/RIF diagnosis of lymphatic tuberculosis were used to plot the summary receiver operating characteristic (SROC) curve, after which the software was used to combine and analyze the accuracy of these data. Results. A total of 27 studies were included. The sensitivity of Xpert MTB/RIF for detecting lymphatic tuberculosis was 0.79 (95% CI (0.77, 0.81)), the specificity was 0.88 (95% CI (0.87, 0.90)), and the positive likelihood ratio (PLR) was 7.21 (95% CI (4.93, 10.55)). In addition, the negative likelihood ratio (NLR) was 0.25 (95% CI (0.19, 0.32)) and the diagnostic odds ratio (DOR) was 40.23 (95% CI (24.53, 65.98)). At the same time, we used the extracted data to make the SROC curve, obtaining the following parameters: area under the curve AUC=0.9144, Q=0.8470 (SE=0.0163). Conclusion. Xpert MTB/RIF has high accuracy in detecting lymphatic tuberculosis, and it can be used to quickly and easily diagnose lymphatic tuberculosis at an early stage as a general method. The World Health Organization approved the use of Xpert MTB/RIF for the detection of DNA, which has significantly improved the diagnosis of tuberculosis. In this study, our main objective was to evaluate the diagnostic efficacy of Xpert MTB/RIF for lymphoid tuberculosis to determine whether Xpert MTB/RIF could be used as a routine detection method. We searched four databases for the relevant literature published from May 2007 to December 2019. The quality of the literature was evaluated with reference to the evaluation criteria. Data that were extracted from the literature on Xpert MTB/RIF diagnosis of lymphatic tuberculosis were used to plot the summary receiver operating characteristic (SROC) curve, after which the software was used to combine and analyze the accuracy of these data. A total of 27 studies were included. The sensitivity of Xpert MTB/RIF for detecting lymphatic tuberculosis was 0.79 (95% CI (0.77, 0.81)), the specificity was 0.88 (95% CI (0.87, 0.90)), and the positive likelihood ratio (PLR) was 7.21 (95% CI (4.93, 10.55)). In addition, the negative likelihood ratio (NLR) was 0.25 (95% CI (0.19, 0.32)) and the diagnostic odds ratio (DOR) was 40.23 (95% CI (24.53, 65.98)). At the same time, we used the extracted data to make the SROC curve, obtaining the following parameters: area under the curve (AUC) = 0.9144, = 0.8470 (SE = 0.0163). Xpert MTB/RIF has high accuracy in detecting lymphatic tuberculosis, and it can be used to quickly and easily diagnose lymphatic tuberculosis at an early stage as a general method. Background . The World Health Organization approved the use of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis DNA, which has significantly improved the diagnosis of tuberculosis. In this study, our main objective was to evaluate the diagnostic efficacy of Xpert MTB/RIF for lymphoid tuberculosis to determine whether Xpert MTB/RIF could be used as a routine detection method. Materials and Methods . We searched four databases for the relevant literature published from May 2007 to December 2019. The quality of the literature was evaluated with reference to the evaluation criteria. Data that were extracted from the literature on Xpert MTB/RIF diagnosis of lymphatic tuberculosis were used to plot the summary receiver operating characteristic (SROC) curve, after which the software was used to combine and analyze the accuracy of these data. Results . A total of 27 studies were included. The sensitivity of Xpert MTB/RIF for detecting lymphatic tuberculosis was 0.79 (95% CI (0.77, 0.81)), the specificity was 0.88 (95% CI (0.87, 0.90)), and the positive likelihood ratio (PLR) was 7.21 (95% CI (4.93, 10.55)). In addition, the negative likelihood ratio (NLR) was 0.25 (95% CI (0.19, 0.32)) and the diagnostic odds ratio (DOR) was 40.23 (95% CI (24.53, 65.98)). At the same time, we used the extracted data to make the SROC curve, obtaining the following parameters: area under the curve AUC = 0.9144 , Q = 0.8470 ( SE = 0.0163 ). Conclusion . Xpert MTB/RIF has high accuracy in detecting lymphatic tuberculosis, and it can be used to quickly and easily diagnose lymphatic tuberculosis at an early stage as a general method. BACKGROUNDThe World Health Organization approved the use of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis DNA, which has significantly improved the diagnosis of tuberculosis. In this study, our main objective was to evaluate the diagnostic efficacy of Xpert MTB/RIF for lymphoid tuberculosis to determine whether Xpert MTB/RIF could be used as a routine detection method. MATERIALS AND METHODSWe searched four databases for the relevant literature published from May 2007 to December 2019. The quality of the literature was evaluated with reference to the evaluation criteria. Data that were extracted from the literature on Xpert MTB/RIF diagnosis of lymphatic tuberculosis were used to plot the summary receiver operating characteristic (SROC) curve, after which the software was used to combine and analyze the accuracy of these data. RESULTSA total of 27 studies were included. The sensitivity of Xpert MTB/RIF for detecting lymphatic tuberculosis was 0.79 (95% CI (0.77, 0.81)), the specificity was 0.88 (95% CI (0.87, 0.90)), and the positive likelihood ratio (PLR) was 7.21 (95% CI (4.93, 10.55)). In addition, the negative likelihood ratio (NLR) was 0.25 (95% CI (0.19, 0.32)) and the diagnostic odds ratio (DOR) was 40.23 (95% CI (24.53, 65.98)). At the same time, we used the extracted data to make the SROC curve, obtaining the following parameters: area under the curve (AUC) = 0.9144, Q = 0.8470 (SE = 0.0163). CONCLUSIONXpert MTB/RIF has high accuracy in detecting lymphatic tuberculosis, and it can be used to quickly and easily diagnose lymphatic tuberculosis at an early stage as a general method. |
Author | Xia, Yong Xie, Tian-Ao Liang, Jia-Qi Li, Hou-He Feng, Xuan-Cheng Li, Zhong-Wei Li, Gui-Lin He, Zhi-Jian Guo, Xu-Guang Liu, Ye-Ling |
AuthorAffiliation | 4 Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China 5 Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China 2 Nanshan School, Guangzhou Medical University, Guangzhou 511436, China 1 Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China 3 Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China 6 Stomatological Hospital of Guangzhou Medical University, 510150, China |
AuthorAffiliation_xml | – name: 5 Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China – name: 3 Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China – name: 2 Nanshan School, Guangzhou Medical University, Guangzhou 511436, China – name: 4 Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China – name: 6 Stomatological Hospital of Guangzhou Medical University, 510150, China – name: 1 Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China |
Author_xml | – sequence: 1 fullname: Guo, Xu-Guang – sequence: 2 fullname: Xia, Yong – sequence: 3 fullname: Li, Zhong-Wei – sequence: 4 fullname: Liu, Ye-Ling – sequence: 5 fullname: Xie, Tian-Ao – sequence: 6 fullname: Li, Gui-Lin – sequence: 7 fullname: Liang, Jia-Qi – sequence: 8 fullname: He, Zhi-Jian – sequence: 9 fullname: Li, Hou-He – sequence: 10 fullname: Feng, Xuan-Cheng |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32685449$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1097/inf.0000000000000312 10.3760/cma.j.issn.0254-6450.2018.04.028 10.1186/s12879-014-0709-7 10.1007/s10096-013-1890-0 10.1183/09031936.00176311 10.1128/jcm.06467-11 10.1016/s1473-3099(03)00772-2 10.1016/j.tube.2014.05.002 10.1155/2019/4878240 10.1056/NEJMoa0907847 10.1371/journal.pone.0137471 10.5588/ijtld.14.0262 10.1128/jcm.01313-16 10.1002/14651858.CD012768.pub2 10.1186/s12879-016-1578-z 10.1371/journal.pone.0196723 10.1128/jcm.05434-11 10.1128/jcm.02319-10 10.5588/pha.17.0080 10.1097/md.0000000000000509 10.5588/ijtld.10.0497 10.1128/jcm.03553-13 10.1128/jcm.02157-10 10.5588/ijtld.15.0849 10.1128/jcm.00659-18 10.1093/cid/ciw778 10.1111/tmi.12655 10.1128/jcm.01310-11 10.1016/j.ijid.2018.08.020 10.1016/j.ijmyco.2015.05.011 10.1002/lary.24478 10.1128/jcm.02268-10 10.1093/tropej/fmy007 10.1172/jci83379 10.1513/AnnalsATS.201308-250OC 10.1016/j.pathol.2016.10.004 10.1128/jcm.00491-11 |
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Copyright | Copyright © 2020 Hou-He Li et al. Copyright © 2020 Hou-He Li et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0 Copyright © 2020 Hou-He Li et al. 2020 |
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Snippet | Background. The World Health Organization approved the use of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis DNA, which has significantly... The World Health Organization approved the use of Xpert MTB/RIF for the detection of DNA, which has significantly improved the diagnosis of tuberculosis. In... Background . The World Health Organization approved the use of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis DNA, which has significantly... BACKGROUNDThe World Health Organization approved the use of Xpert MTB/RIF for the detection of Mycobacterium tuberculosis DNA, which has significantly improved... |
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SubjectTerms | Accuracy Biomedical research Deoxyribonucleic acid Diagnosis Diagnostic systems Diagnostic tests DNA Humans Keywords Likelihood ratio Microbial Sensitivity Tests Mycobacterium tuberculosis - drug effects Nucleic Acid Amplification Techniques - methods Publication Bias Quality standards Rifampin - pharmacology ROC Curve Software Statistical analysis Tuberculosis Tuberculosis - diagnosis |
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Title | Evaluation of Xpert MTB/RIF for the Diagnosis of Lymphatic Tuberculosis |
URI | https://search.emarefa.net/detail/BIM-1132198 https://dx.doi.org/10.1155/2020/1968487 https://www.ncbi.nlm.nih.gov/pubmed/32685449 https://www.proquest.com/docview/2423434236 https://search.proquest.com/docview/2425595501 https://pubmed.ncbi.nlm.nih.gov/PMC7338981 |
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