IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0243161.html
   My bibliography  Save this article

Metagenomic next generation sequencing for the diagnosis of tuberculosis meningitis: A systematic review and meta-analysis

Author

Listed:
  • Guocan Yu
  • Wuchen Zhao
  • Yanqin Shen
  • Pengfei Zhu
  • Hong Zheng

Abstract

Background: Tuberculous meningitis (TBM) is a severe form of extrapulmonary tuberculosis and its early diagnosis is very difficult leading to present with severe disability or die. The current study aimed to assess the accuracy of metagenomic next generation sequencing (mNGS) for TBM, and to identify a new test for the early diagnosis of TBM. Methods: We searched for articles published in Embase, PubMed, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Data up to June 30, 2020 for studies that assessed the efficacy of mNGS for the diagnosis of TBM. Then, the accuracy between mNGS and a composite reference standard (CRS) in these articles was compared using the meta-analysis approach. Results: Four independent studies with 342 samples comparing mNGS and a CRS were included in this study. The sensitivity of mNGS for TBM diagnosis ranged from 27% to 84%. The combined sensitivity of mNGS was 61%, and the I2 value was 92%. Moreover, the specificity of mNGS for TBM diagnosis ranged from 96% to 100%. The combined specificity of mNGS was 98%, and the I2 value was 74%. The heterogeneity between studies in terms of sensitivity and specificity was significant. The area under the curve (AUC) of the summary receiver operating characteristic curve (SROC) of mNGS for TBM was 0.98. Conclusions: The sensitivity of mNGS for TBM diagnosis was moderate. Furthermore, the specificity was extremely high, and the AUC of the SROC indicated a very good diagnostic efficacy. mNGS could be used as an early diagnostic method for TBM, however, the results should be treated with caution for the heterogeneity between studies was extremely significant. Systematic review registration: INPLASY202070100.

Suggested Citation

  • Guocan Yu & Wuchen Zhao & Yanqin Shen & Pengfei Zhu & Hong Zheng, 2020. "Metagenomic next generation sequencing for the diagnosis of tuberculosis meningitis: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-12, December.
    • Handle: RePEc:plo:pone00:0243161
    DOI: 10.1371/journal.pone.0243161
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0243161
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0243161&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0243161?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ben Dwamena, 2007. "MIDAS: Stata module for meta-analytical integration of diagnostic test accuracy studies," Statistical Software Components S456880, Boston College Department of Economics, revised 05 Feb 2009.
    2. Ben Dwamena, 2007. "Meta-analytical Integration of Diagnostic Accuracy Studies in Stata," North American Stata Users' Group Meetings 2007 4, Stata Users Group, revised 05 Sep 2007.
    3. Guocan Yu & Yanqin Shen & Fangming Zhong & Bo Ye & Jun Yang & Gang Chen, 2018. "Diagnostic accuracy of the loop-mediated isothermal amplification assay for extrapulmonary tuberculosis: A meta-analysis," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-15, June.
    4. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guocan Yu & Wenfeng Yu & Xudong Xu & Bo Ye & Liwei Yao, 2021. "Neoadjuvant immunotherapy for resectable esophageal cancer: A protocol of meta-analysis," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-7, June.
    2. Guocan Yu & Yanqin Shen & Bo Ye & Yan Shi, 2021. "Diagnostic accuracy of Mycobacterium tuberculosis cell-free DNA for tuberculosis: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
    3. P. S. Ramachandran & A. Ramesh & F. V. Creswell & A. Wapniarski & R. Narendra & C. M. Quinn & E. B. Tran & M. K. Rutakingirwa & A. S. Bangdiwala & E. Kagimu & K. T. Kandole & K. C. Zorn & L. Tugume & , 2022. "Integrating central nervous system metagenomics and host response for diagnosis of tuberculosis meningitis and its mimics," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiayuan Wu & Liren Hu & Gaohua Zhang & Fenping Wu & Taiping He, 2015. "Accuracy of Presepsin in Sepsis Diagnosis: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-15, July.
    2. Helen L Storey & Ying Huang & Chris Crudder & Allison Golden & Tala de los Santos & Kenneth Hawkins, 2015. "A Meta-Analysis of Typhoid Diagnostic Accuracy Studies: A Recommendation to Adopt a Standardized Composite Reference," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-24, November.
    3. İlkay Unay-Gailhard & Mark A. Brennen, 2022. "How digital communications contribute to shaping the career paths of youth: a review study focused on farming as a career option," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(4), pages 1491-1508, December.
    4. Mahin Ghafari & Vali Baigi & Zahra Cheraghi & Amin Doosti-Irani, 2016. "The Prevalence of Asymptomatic Bacteriuria in Iranian Pregnant Women: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-10, June.
    5. Elizabeth T Cafiero-Fonseca & Andrew Stawasz & Sydney T Johnson & Reiko Sato & David E Bloom, 2017. "The full benefits of adult pneumococcal vaccination: A systematic review," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-23, October.
    6. Santos Urbina & Sofía Villatoro & Jesús Salinas, 2021. "Self-Regulated Learning and Technology-Enhanced Learning Environments in Higher Education: A Scoping Review," Sustainability, MDPI, vol. 13(13), pages 1-12, June.
    7. Oded Berger-Tal & Alison L Greggor & Biljana Macura & Carrie Ann Adams & Arden Blumenthal & Amos Bouskila & Ulrika Candolin & Carolina Doran & Esteban Fernández-Juricic & Kiyoko M Gotanda & Catherine , 2019. "Systematic reviews and maps as tools for applying behavioral ecology to management and policy," Behavioral Ecology, International Society for Behavioral Ecology, vol. 30(1), pages 1-8.
    8. Nadine Desrochers & Adèle Paul‐Hus & Jen Pecoskie, 2017. "Five decades of gratitude: A meta‐synthesis of acknowledgments research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2821-2833, December.
    9. Maryono, Maryono & Killoes, Aditya Marendra & Adhikari, Rajendra & Abdul Aziz, Ammar, 2024. "Agriculture development through multi-stakeholder partnerships in developing countries: A systematic literature review," Agricultural Systems, Elsevier, vol. 213(C).
    10. Alene Sze Jing Yong & Yi Heng Lim & Mark Wing Loong Cheong & Ednin Hamzah & Siew Li Teoh, 2022. "Willingness-to-pay for cancer treatment and outcome: a systematic review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1037-1057, August.
    11. Xue-Ying Xu & Hong Kong & Rui-Xiang Song & Yu-Han Zhai & Xiao-Fei Wu & Wen-Si Ai & Hong-Bo Liu, 2014. "The Effectiveness of Noninvasive Biomarkers to Predict Hepatitis B-Related Significant Fibrosis and Cirrhosis: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-16, June.
    12. Vicente Miñana-Signes & Manuel Monfort-Pañego & Javier Valiente, 2021. "Teaching Back Health in the School Setting: A Systematic Review of Randomized Controlled Trials," IJERPH, MDPI, vol. 18(3), pages 1-18, January.
    13. Agnieszka A. Tubis & Katarzyna Grzybowska, 2022. "In Search of Industry 4.0 and Logistics 4.0 in Small-Medium Enterprises—A State of the Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    14. Obsa Urgessa Ayana & Jima Degaga, 2022. "Effects of rural electrification on household welfare: a meta-regression analysis," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 209-261, June.
    15. Caloffi, Annalisa & Colovic, Ana & Rizzoli, Valentina & Rossi, Federica, 2023. "Innovation intermediaries' types and functions: A computational analysis of the literature," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    16. García-Poole, Chloe & Byrne, Sonia & Rodrigo, María José, 2019. "How do communities intervene with adolescents at psychosocial risk? A systematic review of positive development programs," Children and Youth Services Review, Elsevier, vol. 99(C), pages 194-209.
    17. Jie Zhao & Ji Chen & Damien Beillouin & Hans Lambers & Yadong Yang & Pete Smith & Zhaohai Zeng & Jørgen E. Olesen & Huadong Zang, 2022. "Global systematic review with meta-analysis reveals yield advantage of legume-based rotations and its drivers," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    18. Qing Ye & Bao-Xin Qian & Wei-Li Yin & Feng-Mei Wang & Tao Han, 2016. "Association between the HFE C282Y, H63D Polymorphisms and the Risks of Non-Alcoholic Fatty Liver Disease, Liver Cirrhosis and Hepatocellular Carcinoma: An Updated Systematic Review and Meta-Analysis o," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-17, September.
    19. Bishal Mohindru & David Turner & Tracey Sach & Diana Bilton & Siobhan Carr & Olga Archangelidi & Arjun Bhadhuri & Jennifer A. Whitty, 2020. "Health State Utility Data in Cystic Fibrosis: A Systematic Review," PharmacoEconomics - Open, Springer, vol. 4(1), pages 13-25, March.
    20. Subramaniam, Mega & Pang, Natalie & Morehouse, Shandra & Asgarali-Hoffman, S. Nisa, 2020. "Examining vulnerability in youth digital information practices scholarship: What are we missing or exhausting?," Children and Youth Services Review, Elsevier, vol. 116(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0243161. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.