Evaluation of CRISPR-Based Assays for Rapid Detection of SARS-CoV-2: A Systematic Review and Meta-Analysis
10.3349/ymj.2022.63.5.480
- Author:
Pei-Ying HUANG
1
;
Xin YIN
;
Yue-Ting HUANG
;
Qi-Qing YE
;
Si-Qing CHEN
;
Xun-Jie CAO
;
Tian-Ao XIE
;
Xu-Guang GUO
Author Information
1. Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Publication Type:Original Article
- From:Yonsei Medical Journal
2022;63(5):480-489
- CountryRepublic of Korea
- Language:English
-
Abstract:
Purpose:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen of coronavirus disease 2019. Diagnostic methods based on the clustered regularly interspaced short palindromic repeats (CRISPR) have been developed to detect SARSCoV-2 rapidly. Therefore, a systematic review and meta-analysis were performed to assess the diagnostic accuracy of CRISPR for detecting SARS-CoV-2 infection.
Materials and Methods:Studies published before August 2021 were retrieved from four databases, using the keywords “SARS-CoV-2” and “CRISPR.” Data were collected from these publications, and the sensitivity, specificity, negative likelihood ratio (NLR), positive likelihood ratio (PLR), and diagnostic odds ratio (DOR) were calculated. The summary receiver operating characteristic curve was plotted for analysis with MetaDiSc 1.4. The Stata 15.0 software was used to draw Deeks’ funnel plots to evaluate publication bias.
Results:We performed a pooled analysis of 38 independent studies shown in 30 publications. The reference standard was reverse transcription-quantitative PCR. The results indicated that the sensitivity of CRISPR-based methods for diagnosis was 0.94 (95% CI 0.93–0.95), the specificity was 0.98 (95% CI 0.97–0.99), the PLR was 34.03 (95% CI 20.81–55.66), the NLR was 0.08 (95% CI 0.06– 0.10), and the DOR was 575.74 (95% CI 382.36–866.95). The area under the curve was 0.9894.
Conclusion:Studies indicate that a diagnostic method based on CRISPR has high sensitivity and specificity. Therefore, this would be a potential diagnostic tool to improve the accuracy of SARS-CoV-2 detection.
