Evidence map›Paper›PMID 36474907›Full record

ArticleInfection and drug resistance2022

Association of CRISPR-Cas System with the Antibiotic Resistance and Virulence Genes in Nosocomial Isolates of

Shuan Tao, Huimin Chen, Na Li, Yewei Fang, Yao Xu, Wei Liang

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

20 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Cross-Sector Antimicrobial Resistance and Virulence inAntibiotics (Basel, Switzerland) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Isolation and characterization of potential probiotic Enterococcus faecalis strains from healthy lambs' feces.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. CRISPR-Cas systems in enterococci.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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 at 4 institutions in 1 country.

Shuan TaoSchool of Medicine, Jiangsu University, Zhenjiang, People's Republic of China.ORCID 0000-0001-9813-8814
Huimin ChenSchool of Medicine, Jiangsu University, Zhenjiang, People's Republic of China.
Na LiBengbu Medical College, Bengbu, People's Republic of China.
Yewei FangDepartment of Clinical Laboratory, Ningbo First Hospital, Ningbo, People's Republic of China.
Yao XuSchool of Medicine, Ningbo University, Ningbo, People's Republic of China.
Wei LiangDepartment of Clinical Laboratory, Ningbo First Hospital, Ningbo, People's Republic of China.
Jiangsu University · CNNingbo First Hospital · CNBengbu Medical College · CNNingbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the prevalence of the CRISPR-Cas system in nosocomial isolates of Materials and Methods: Identification and antimicrobial susceptibility of the microorganism were performed by the automatized VITEK 2 Compact system (bioMerieux, France). A total of 100 Results: A total of 100 isolates of Conclusion: In conclusion, the results indicated that the absence of the CRISPR-Cas system was negatively associated with some antibiotic resistance in clinical isolates of

Indexed as

antimicrobial-antibiotic resistance geneCRISPR-Cas systemEnterococcusvirulence genes

Identifiers

PMID36474907
PMCPMC9719680
OpenAlexW4310812037

What Socratic 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 Socratic graph.