清脆的
荟萃分析
二元分析
计算生物学
联营
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
分子诊断学
医学
2019年冠状病毒病(COVID-19)
计算机科学
生物
生物信息学
内科学
基因
遗传学
人工智能
机器学习
疾病
传染病(医学专业)
作者
Xin Li,Huiling Zhang,Jing Zhang,Yang Song,Xuening Shi,Chao Zhao,Juan Wang
标识
DOI:10.1080/14737159.2022.2107425
摘要
Objective To evaluate the diagnostic accuracy of CRISPR-Cas technology for SARS-CoV-2.Methods RT-qPCR is defined as the reference standard. Data was collected and assessed by Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. A bivariate model for pooling was employed and subgroups analysis was used to explore heterogeneity.Results 2264 samples from 28 articles were extracted for evaluating the accuracy of CRISPR technology for diagnosing SARS-CoV-2. The pooled sensitivity and specificity of CRISPR technology were 0.98 (95% CI: 0.95–0.99) and 1.0 (95% CI: 0.98–1.00), respectively. High risks in patient selection bias and unclear risk of index test bias may affect accuracy. Subgroup analysis showed that CRISPR-Cas12 is applicable for molecular diagnostics for its active editing characteristics. RT-LAMP and RT-RPA are usually used for pre-amplification and fluorescence detection to output results quantitatively. Nasopharyngeal swabs and dual-genes perform greatly in our study.Conclusion The results concluded from all studies showed that CRISPR technology is a promising molecular method for detecting SARS-CoV-2. Standard methods including comparable sample material, patient selection, operating procedure and operators should be established.
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