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논문 기본 정보

자료유형
학술저널
저자정보
Pei-Ying Huang (Guangzhou Medical University China) Xin Yin (Guangzhou Medical University China) Yue-Ting Huang (Guangzhou Medical University China) Qi-Qing Ye (Guangzhou Medical University China) Si-Qing Chen (Guangzhou Medical University China) Xun-Jie Cao (Guangzhou Medical University China) Tian-Ao Xie (Guangzhou Medical University China) Xu-Guang Guo (Guangzhou Medical University China)
저널정보
연세대학교 의과대학 Yonsei Medical Journal Yonsei Medical Journal 제63권 제5호
발행연도
2022.5
수록면
480 - 489 (10page)
DOI
10.3349/ymj.2022.63.5.480

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Purpose: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen of coronavirus disease 2019. Diagnosticmethods 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 fordetecting 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), positivelikelihood ratio (PLR), and diagnostic odds ratio (DOR) were calculated. The summary receiver operating characteristic curve wasplotted 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 reversetranscription-quantitative PCR. The results indicated that the sensitivity of CRISPR-based methods for diagnosis was 0.94 (95% CI0.93–0.95), 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 wouldbe a potential diagnostic tool to improve the accuracy of SARS-CoV-2 detection.

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