Background: Candida auris is an opportunistic pathogen with multiple drug resistance. Therefore, researchers conducted a meta-analysis to review PCR’s ability to diagnose Candida auris to promote the development of accurate Candida auris diagnosis.
Methods: Researchers systematically retrieved relevant articles from PubMed, Cochrane Library, Embase, and Web of Science. Then, researchers extracted the key data required for the study from the selected articles. Meta-DiSc 1.4 was used for the statistical analysis. RevMan 5.3 was employed to assess the quality of the included literature. A funnel plot can appraise whether the included articles have publication bias.
Results: Five articles were included in the study. The results suggest that the pooled sensitivity and pooled specificity were 0.94 (95% CI: 0.92 - 0.95) and 0.99 (95% CI: 0.99 - 0.99), respectively. The positive and negative likelyhood ratios were 100.94 (95% CI: 47.51 - 214.47) and 0.07 (95% CI: 0.05 - 0.10), respectively. The diagnostic odds ratio was 1,814.70 (95% CI: 717.30 - 4,591.04), and the area under the SROC curve was 0.9935. Deek’s funnel plot indicated that there was no publication bias.
Conclusions: The results of the analysis indicate that PCR can become a valuable technique for the clinical diagnosis of Candida auris due to its excellent performance.