Abstract
BackgroundTuberculous pericarditis (TBP) can lead to serious consequences. Early diagnosis and treatment are very important for TBP, but early diagnosis is still very challenging. This study aims to evaluate the diagnostic accuracy of Xpert MTB/RIF for TBP using meta-analysis method.MethodsWe will search Embase, PubMed, the Cochrane Library, China National Knowledge Infrastructure (CNKI), and the Wanfang database for researches assessing the diagnostic accuracy of Xpert MTB/RIF for TBP until April 2021. Any types of study design with full text will be selected and included. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool will be used to assess the risk of bias. We will use version 15.0 of the STATA software with the midas command packages to carry out meta-analyses.ResultsEvidence for diagnostic accuracy of Xpert MTB/RIF for TBP will be provided through the study, and this protocol will be submitted to a peer-reviewed journal for publication.ConclusionThis study will provide evidence of Xpert MTB/RIF for TBP.
Highlights
Tuberculosis (TB) is a major global public health threat to human health [1]
This study aims to evaluate the diagnostic accuracy of Xpert MTB/RIF for Tuberculous pericarditis (TBP) using meta-analysis method
Evidence for diagnostic accuracy of Xpert MTB/RIF for TBP will be provided through the study, and this protocol will be submitted to a peer-reviewed journal for publication
Summary
Tuberculosis (TB) is a major global public health threat to human health [1]. Tuberculosisrelated mortality remains high in developing countries, especially among those co-infected with acquired immunodeficiency syndrome (AIDS) and tuberculosis [2]. The funders do not have a role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Tuberculous pericarditis (TBP) can lead to serious consequences. Diagnosis and treatment are very important for TBP, but early diagnosis is still very challenging. This study aims to evaluate the diagnostic accuracy of Xpert MTB/RIF for TBP using meta-analysis method
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