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

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...

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Autores principales: Wang, Song, Hu, Jiayi, Sui, Chuanying, He, Guangliang, Qu, Zihan, Chen, Xiaofei, Wang, Yashan, Guo, Dingjie, Liu, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949659/
https://www.ncbi.nlm.nih.gov/pubmed/35341958
http://dx.doi.org/10.1016/j.micpath.2022.105498
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author Wang, Song
Hu, Jiayi
Sui, Chuanying
He, Guangliang
Qu, Zihan
Chen, Xiaofei
Wang, Yashan
Guo, Dingjie
Liu, Xin
author_facet Wang, Song
Hu, Jiayi
Sui, Chuanying
He, Guangliang
Qu, Zihan
Chen, Xiaofei
Wang, Yashan
Guo, Dingjie
Liu, Xin
author_sort Wang, Song
collection PubMed
description 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.
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spelling pubmed-89496592022-03-25 Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis Wang, Song Hu, Jiayi Sui, Chuanying He, Guangliang Qu, Zihan Chen, Xiaofei Wang, Yashan Guo, Dingjie Liu, Xin Microb Pathog Article 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. Elsevier Ltd. 2022-04 2022-03-25 /pmc/articles/PMC8949659/ /pubmed/35341958 http://dx.doi.org/10.1016/j.micpath.2022.105498 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Wang, Song
Hu, Jiayi
Sui, Chuanying
He, Guangliang
Qu, Zihan
Chen, Xiaofei
Wang, Yashan
Guo, Dingjie
Liu, Xin
Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis
title Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis
title_full Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis
title_fullStr Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis
title_full_unstemmed Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis
title_short Accuracy of clustered regularly interspaced short palindromic repeats (CRISPR) to diagnose COVID-19, a meta-analysis
title_sort accuracy of clustered regularly interspaced short palindromic repeats (crispr) to diagnose covid-19, a meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949659/
https://www.ncbi.nlm.nih.gov/pubmed/35341958
http://dx.doi.org/10.1016/j.micpath.2022.105498
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