Abstract
Background: At present, the infection and prevalence rates of tuberculosis (TB) are still high in worldwide. The Xpert MTB/RIF technology has improved the diagnosis speed of Mycobacterium tuberculosis (MTB) and facilitated the rapid treatment of TB patients.Methods: We searched experimental data derived from Xpert MTB/RIF for detecting MTB in gastric aspirates in PubMed, Embase, Web Of Science, and the Cochrane Library databases between January 2012 to April 2019. A summary receiver operating characteristic curve (SROC curve) was used to analyze the pooled sensitivity, pooled specificity, PLR, NLR, and DOR for determining the accuracy of the test.Results: Our database search resulted in 10 relevant articles. The pooled sensitivity of Xpert MTB/RIF for detecting TB in GA was 86% (95% CI, 83–89%), and I2 = 93.4%. The pooled specificity was 92% (95% CI, 90–93%) and I2 = 97.8%. In addition, the positive LR was 12.12 (95% CI, 5.60–26.21), negative LR was 0.20 (95% CI, 0.11–0.36), and the diagnostic odds ratio (DOR) was 147.04 (95% CI, 37.20–581.19). Using the SROC curve, the AUC was 0.9730 and Q* was 0.9248 (SE = 0.0261). The publication bias was P=0.517 (P>0.05).Conclusions: The Xpert MTB/RIF for detecting MTB in gastric aspirates was highly accurate. In addition, we observed that the publication bias in the present study was low. Hence, the Xpert MTB/RIF technology is highly accurate and has the advantage of rapid testing for MTB in clinical samples.
Highlights
Tuberculosis (TB) remains a globally essential and leading cause of infectious disease
We extracted Xpert Mycobacterium tuberculosis (MTB)/RIF data from 2774 GA samples obtained from 10 studies
We found that the pooled sensitivity of the Xpert test was 86%, and the pooled specificity was 92%
Summary
Tuberculosis (TB) remains a globally essential and leading cause of infectious disease. New methods are urgently needed to develop early diagnosis methods, shorten treatment times, and improve treatment efficacy and prevention. The Xpert MTB/RIF technology has improved the diagnosis speed of Mycobacterium tuberculosis (MTB) and facilitated the rapid treatment of TB patients. Methods: We searched experimental data derived from Xpert MTB/RIF for detecting MTB in gastric aspirates in PubMed, Embase, Web Of Science, and the Cochrane Library databases between January 2012 to April 2019. The pooled sensitivity of Xpert MTB/RIF for detecting TB in GA was 86% (95% CI, 83–89%), and I2 = 93.4%. Conclusions: The Xpert MTB/RIF for detecting MTB in gastric aspirates was highly accurate. We observed that the publication bias in the present study was low. The Xpert MTB/RIF technology is highly accurate and has the advantage of rapid testing for MTB in clinical samples
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