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Meta-Analysis
. 2022 Apr:165:105498.
doi: 10.1016/j.micpath.2022.105498. Epub 2022 Mar 25.

Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis

Song Wang  1 , Jiayi Hu  1 , Chuanying Sui  1 , Guangliang He  1 , Zihan Qu  1 , Xiaofei Chen  1 , Yashan Wang  1 , Dingjie Guo  1 , Xin Liu  2
Affiliations
Meta-Analysis

Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis

Song Wang et al. Microb Pathog. 2022 Apr.

Abstract

Objective: To estimate the accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) in determining coronavirus disease-19 (COVID-19).

Methods: As of January 31, 2022, PubMed, Web of Science, Embase, Science Direct, Wiley and Springer Link were searched. Sensitivity, specificity, likelihood ratio (LR), diagnostic odds ratio (DOR) and area under the summary receiver-operating characteristic (AUC) curve were used to assess the accuracy of CRISPR.

Results: According to the inclusion criteria, 5857 patients from 54 studies were included in this meta-analysis. The pooled sensitivity, specificity and AUC were 0.98, 1.00 and 1.00, respectively. For CRISPR-associated (Cas) proteins-12, the sensitivity, specificity was 0.96, 1.00, respectively. For Cas-13, the sensitivity and specificity were 0.99 and 0.99.

Conclusion: This meta-analysis showed that the diagnostic performance of CRISPR is close to the gold standard, and it is expected to meet the Point of care requirements in resource poor areas.

Keywords: COVID-19; CRISPR; Meta analysis; SARS-Cov-2.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Flow diagram of the study selection process.
Fig. 2
Fig. 2
Forest plots of pooled sensitivity and specificity.
Fig. 3
Fig. 3
SROC curve of CRISPR for the diagnosis of COVID-19.
See this image and copyright information in PMC

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