Yonsei Med J.
2022 May;63(5):480-489. 10.3349/ymj.2022.63.5.480.
Evaluation of CRISPR-Based Assays for Rapid Detection of SARS-CoV-2: A Systematic Review and Meta-Analysis
- Affiliations
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- 1Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- 2Nanshan School, Guangzhou Medical University, Guangzhou, China
- 3Pediatrics School, Guangzhou Medical University, Guangzhou, China
- 4Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, China
- 5Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- 6Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- KMID: 2529394
- DOI: http://doi.org/10.3349/ymj.2022.63.5.480
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.
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