Evidence map›Paper›PMID 42688545›Full record

ReviewSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2026

[Research Progress on the Application of CRISPR/Cas System in Rapid Testing of Drug-Resistant Bacteria in Clinical Practice].

Zhen Song, Hui Li, Yanan Zhao, Min Li

Abstract readReviewEnglish Abstract
In one paragraph

Review in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 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

4 authors.

Zhen Song( 200025)College of Health Science and Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.ORCID 0009-0003-6745-9545
Hui Li( 200025)College of Health Science and Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Yanan Zhao( 200025)College of Health Science and Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Min Li( 200025)College of Health Science and Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.ORCID 0000-0003-0578-7538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The misuse of antimicrobial agents has made antimicrobial resistance one of the major threats to global public health. Efficient and rapid detection of drug-resistant bacteria and resistance genes is crucial for controlling infection spread and safeguarding human health. However, traditional detection methods (such as culture isolation, polymerase chain reaction, etc.) exhibit significant limitations in detection speed, cost-effectiveness, and convenience, increasingly failing to meet current clinical testing demands. In this context, the CRISPR/Cas system, as an emerging molecular diagnostic technology, offers innovative solutions for this field. This review details the developmental status of CRISPR/Cas systems and their research progress in rapid clinical detection of drug-resistant bacteria. It systematically explains the working principles and efficacy of various CRISPR/Cas-based detection platforms (e.g., SHERLOCK, DETECTR, HOLMES), highlighting the system's advantages in sensitivity, specificity, efficiency, real-time capability, portability, and low cost. Additionally, the article discusses challenges faced by CRISPR/Cas systems, including direct clinical sample detection, multiplex testing, cost reduction, clinical validation, and standardization. Finally, it outlines future development directions, emphasizing technological innovation and clinical translation to establish CRISPR/Cas systems as efficient tools for drug-resistant bacteria prevention and control.

Indexed as

BacteriaBacterial InfectionsCRISPR-Cas SystemsDrug Resistance, BacterialHumansRapid Diagnostic TestsCRISPR/Cas systemDrug-resistant bacteriaNucleic acid targetsRapid detectionReview

Identifiers

PMID42688545
PMCPMC13534523

What Socratic holds

Textmetadata
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 Socratic graph.