Diagnostic test accuracy of Xpert MTB/RIF for tuberculous pericarditis: A systematic review and meta-analysis

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Abstract

Introduction: Xpert MTB/RIF is a rapid diagnostic instrument for pulmonary tuberculosis (TB). However, studies reported varied accuracy of Xpert MTB/RIF in detecting Mycobacterium tuberculosis in pericardial effusion. Methods: We performed a systematic review of literature in PubMed, published up to February 1, 2020, according to PRISMA guidelines. We screened cross-sectional studies, observational cohort studies, and randomized control trials that evaluated the accuracy of Xpert MTB/RIF in diagnosing TB pericarditis. Papers with noninterpretable results of sensitivity and specificity, non-English articles, and unpublished studies were excluded. The primary outcomes were the sensitivity and specificity of Xpert MTB/RIF. We conducted a quality assessment using QUADAS-2 to evaluate the quality of the studies. A bivariate model pooled the overall sensitivity, specificity, positive likelihood ratios (PLRs), and negative likelihood ratios (NLRs) of included studies. Results: In total, 581 subjects from nine studies were analyzed in this meta-analysis. Our pooled analysis showed that the overall sensitivity, specificity, PLRs and NLRs of included studies were 0.676 (95% CI: 0.580-0.759), 0.994 (95% CI: 0.919-1.000), 110.11 (95% CI: 7.65-1584.57) and 0.326 (95% CI: 0.246-0.433), respectively. Conclusions: Xpert MTB/RIF had a robust specificity but unsatisfactory sensitivity in diagnosing TB pericarditis. These findings indicated that although positive Xpert MTB/RIF test results might be valuable in swiftly distinguishing the diagnosis of TB pericarditis, negative test results might not be able to rule out TB pericarditis. Registration: PROSPERO CRD42020167480 28/04/2020

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Andrianto, A., Mertaniasih, N. M., Gandi, P., Silahooij, S. I., Al-Farabi, M. J., Azmi, Y., & Jonatan, M. (2020). Diagnostic test accuracy of Xpert MTB/RIF for tuberculous pericarditis: A systematic review and meta-analysis. F1000Research. F1000 Research Ltd. https://doi.org/10.12688/f1000research.22770.1

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