Evidence map›Paper›PMID 42655688›Full record

ReviewViruses2026

Recent Advances in CRISPR/Cas Systems for Respiratory Pathogen Diagnostics.

Yujie Dai, Lingyun Xia, Yufei Yang, Guohong Qiao, Xing Jin, Xuhua Mao

Abstract readReview
In one paragraph

Review in Viruses, 2026. 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

6 authors.

Yujie DaiDepartment of Clinical Laboratory, The Affiliated Yixing Clinical School of Medical School of Yangzhou University, Yixing 214200, China.
Lingyun XiaDepartment of Pediatrics, The Affiliated Yixing Clinical School of Medical School of Yangzhou University, Yixing 214200, China.
Yufei YangDepartment of Clinical Laboratory, The Affiliated Yixing Clinical School of Medical School of Yangzhou University, Yixing 214200, China.
Guohong QiaoDepartment of Clinical Laboratory, The Affiliated Yixing Clinical School of Medical School of Yangzhou University, Yixing 214200, China.
Xing JinDepartment of Clinical Nutrition, The Affiliated Yixing Clinical School of Medical School of Yangzhou University, Yixing 214200, China.
Xuhua MaoDepartment of Clinical Laboratory, The Affiliated Yixing Clinical School of Medical School of Yangzhou University, Yixing 214200, China.

Funding

Xuhua Mao HB2023111
6 · The paper itself

Abstract

Early, rapid, and accurate detection is essential for clinical management and epidemiological control of acute respiratory infections caused by pathogens. Traditional testing methods such as microbial culture, serological testing, and PCR are restrictive in terms of operation and logistics and are therefore not easily used in point-of-care settings. The CRISPR/Cas system is an adaptive prokaryotic immune system composed of clustered regularly interspaced short palindromic repeats and their associated proteins, which has been used as a nucleic acid diagnostic platform with programmable sequence-specific target recognition and signal-amplifying collateral cleavage activity. Existing reviews have mostly focused on the classification of Cas enzymes or amplification strategies; in this review, a pathogen-centric approach was taken, covering viral pathogens (SARS-CoV-2, influenza virus, RSV, HAdV and VZV), bacterial pathogens (

Indexed as

CRISPR-Cas SystemsMolecular Diagnostic TechniquesRespiratory Tract InfectionsBacteriaFungiHumansNucleic Acid Amplification TechniquesRapid Diagnostic TestsVirusesCRISPR/Cas systemmolecular diagnosticsrespiratory pathogens

Identifiers

PMID42655688
PMCPMC13517120

What OpenQuestion holds

Textmetadata
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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.