Evidence map›Paper›PMID 40678258›Full record

ReviewThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2025

A Critical Review of the CRISPR-Cas Technology in the Detection of SARS-CoV-2 Variants.

Jie Zhang, Juezhuo Li, Jiawei Zhou, Jiaye Zhong, Yue Xu, Xiaolei Mao, Minghui Xu, Shuyin Luo, Yi Yang, Ruiyao Hu and 7 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Jie ZhangKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Juezhuo LiWycombe Abbey School Hangzhou, Hangzhou, China.
Jiawei ZhouKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Jiaye ZhongKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Yue XuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Xiaolei MaoKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Minghui XuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Shuyin LuoKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Yi YangKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Ruiyao HuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Dong-Ang LiuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Shiyu ChenKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Yuting QiuKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Keyi ChenKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Jinghua YuanKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.
Xinling ZhangKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.ORCID https://orcid.org/0000-0002-0842-3812
Xiaoping LiKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China.ORCID https://orcid.org/0000-0003-0156-0803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still going on, and as the epidemic situation continues, the genome of SARS-CoV-2 is also mutating and evolving, resulting in more and more SARS-CoV-2 mutant strains, which have brought serious pressure on the prevention and control of COVID-19. Given that the COVID-19 is still spreading, it is extremely important to rapidly identify SARS-CoV-2 variants by nucleic acid assays. Thus, developing highly sensitive and specific assays that are suitable for field testing, high-throughput, and automation, as well as other diagnostic applications for SARS-CoV-2 variants, is urgently needed. This paper reviews the research progress of novel CRISPR-based diagnostic methods for SARS-CoV-2 variants.

Indexed as

COVID-19CRISPR-Cas systemdetectionmutant strainSARS-CoV-2

Identifiers

PMID40678258
PMCPMC12267969

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.