Evidence map›Paper›PMID 26950298›Full record

ArticlePloS one2016

Whole-Genome Sequencing for the Investigation of a Hospital Outbreak of MRSA in China.

Zhenzhen Kong, Peipei Zhao, Haibing Liu, Xiang Yu, Yanyan Qin, Zhaoliang Su, Shengjun Wang, Huaxi Xu, Jianguo Chen

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Methicillin-ResistantToxins · 2020
    Pooled it
  2. Article
  3. Methicillin-ResistantInternational journal of molecular sciences · 2026
    Review
  4. Article
  5. Article
  6. Clonal Diversity and Epidemiological Characteristics of ST239-MRSA Strains.Frontiers in cellular and infection microbiology · 2022
    Article
  7. Local Diversification of Methicillin- ResistantFrontiers in microbiology · 2019
    Article
  8. Review
  9. Review
  10. A genomic infection control study forInfection and drug resistance · 2018
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Observational
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

9 authors.

Zhenzhen KongDepartment of Clinical Laboratory, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Peipei ZhaoDepartment of Clinical Laboratory, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Haibing LiuDepartment of Clinical Laboratory, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Xiang YuDepartment of Neurosurgery, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, PR China.
Yanyan QinDepartment of Immunology, Institute of Laboratory Medicine, Jiangsu University, Zhenjiang, China.
Zhaoliang SuDepartment of Immunology, Institute of Laboratory Medicine, Jiangsu University, Zhenjiang, China.
Shengjun WangDepartment of Clinical Laboratory, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Huaxi XuDepartment of Immunology, Institute of Laboratory Medicine, Jiangsu University, Zhenjiang, China.
Jianguo ChenDepartment of Clinical Laboratory, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staphylococcus aureus is a globally disseminated drug-resistant bacterial species. It remains a leading cause of hospital-acquired infection, primarily among immunocompromised patients. In 2012, the Affiliated People's Hospital of Jiangsu University experienced a putative outbreak of methicillin-resistant S. aureus (MRSA) that affected 12 patients in the Neurosurgery Department. In this study, whole-genome sequencing (WGS) was used to gain insight into the epidemiology of the outbreak caused by MRSA, and traditional bacterial genotyping approaches were also applied to provide supportive evidence for WGS. We sequenced the DNA from 6 isolates associated with the outbreak. Phylogenetic analysis was constructed by comparing single-nucleotide polymorphisms (SNPs) in the core genome of 6 isolates in the present study and another 3 referenced isolates from GenBank. Of the 6 MRSA sequences in the current study, 5 belonged to the same group, clustering with T0131, while the other one clustered closely with TW20. All of the isolates were identified as ST239-SCCmecIII clones. Whole-genome analysis revealed that four of the outbreak isolates were more tightly clustered into a group and SA13002 together with SA13009 were distinct from the outbreak strains, which were considered non-outbreak strains. Based on the sequencing results, the antibiotic-resistance gene status (present or absent) was almost perfectly concordant with the results of phenotypic susceptibility testing. Various toxin genes were also analyzed successfully. Our analysis demonstrates that using traditional molecular methods and WGS can facilitate the identification of outbreaks and help to control nosocomial transmission.

Indexed as

Disease OutbreaksGenomicsHospitalsSequence AnalysisBacterial Typing TechniquesChinaHumansMethicillin-Resistant Staphylococcus aureusPolymorphism, Single NucleotideStaphylococcal Infections

Identifiers

PMID26950298
PMCPMC4780730

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Registered trials

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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.