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Diagnostic accuracy of Mycobacterium tuberculosis cell-free DNA for tuberculosis: A systematic review and meta-analysis

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  • Guocan Yu
  • Yanqin Shen
  • Bo Ye
  • Yan Shi

Abstract

Background: Diagnosis of tuberculosis (TB) is still difficult. The purpose of our study was to evaluate the diagnostic accuracy of Mycobacterium tuberculosis cell-free DNA (cfDNA) for diagnosing of TB. Methods: We searched relevant databases for studies that used cfDNA to diagnose TB. We evaluated the accuracy of cfDNA compared with the composite reference standard (CRS) and culture. True positive, false positive, false negative, and true negative values for cfDNA were obtained first, then the estimated pooled sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), diagnostic odds ratio (DOR), and the area under the summary receiver operating characteristic (SROC) curve (AUC) of cfDNA for diagnosing TB were calculated with 95% confidence intervals (CIs). Heterogeneity was determined using the I2 statistic. When the heterogeneity was obvious, the source of heterogeneity was further discussed. Results: We included 14 independent studies comparing cfDNA with the CRS, and 4 studies compared with culture. The pooled sensitivity, specificity, PPV, NPV, DOR, and AUC of the SROC were 68%, 98%,99%, 62%, 83, and 0.97 as compared with the CRS, respectively. The pooled sensitivity, specificity, PPV, NPV, DOR, and AUC of the SROC were 48%, 91%, 92%, 60%, 5, and 0.88 as compared with culture, respectively. The heterogeneity between studies was significant. Conclusions: The accuracy of cfDNA testing for TB diagnosis was good compared with CRS and culture. cfDNA can be used for rapid early diagnosis of TB.

Suggested Citation

  • 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.
  • Handle: RePEc:plo:pone00:0253658
    DOI: 10.1371/journal.pone.0253658
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    References listed on IDEAS

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    1. 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.
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