Evidence map›Paper›PMID 33968799›Full record

ReviewFrontiers in cellular and infection microbiology2021

CRISPR/Cas System: A Potential Technology for the Prevention and Control of COVID-19 and Emerging Infectious Diseases.

Ronghua Ding, Jinzhao Long, Mingzhu Yuan, Yuefei Jin, Haiyan Yang, Mengshi Chen, Shuaiyin Chen, Guangcai Duan

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  6. Article
  7. Review
  8. Review
  9. Detection ofFrontiers in immunology · 2024
    Article
  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ronghua DingCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Jinzhao LongCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Mingzhu YuanCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Yuefei JinCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Haiyan YangCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Mengshi ChenHunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China.
Shuaiyin ChenCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Guangcai DuanCollege of Public Health, Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continued global pandemic of coronavirus disease 2019 (COVID-19) poses a serious threat to global public health and social stability and it has become a serious global public health problem. Unfortunately, existing diagnostic and therapeutic approaches for the prevention and control of COVID-19 have many shortcomings. In recent years, the emerging CRISPR/Cas technology can complement the problems of traditional methods. Biological tools based on CRISPR/Cas systems have been widely used in biomedicine. In particular, they are advantageous in pathogen detection, clinical antiviral therapy, drug, and vaccine development. Therefore, CRISPR/Cas technology may have great potential for application in the prevention and control of COVID-19 and emerging infectious diseases in the future. This article summarizes the existing applications of CRISPR/Cas technology in infectious diseases with the aim of providing effective strategies for the prevention and control of COVID-19 and other emerging infectious diseases in the future.

Indexed as

Communicable Diseases, EmergingCOVID-19Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsHumansSARS-CoV-2Technologyclinical therapyCRISPR/Casdrug and vaccine developmentpathogen detectionSARS-CoV-2

Identifiers

PMID33968799
PMCPMC8102830

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.