Evidence map›Paper›PMID 21221945›Full record

ArticleJournal of microbiology (Seoul, Korea)2010

Multilocus sequence typing and virulence factors analysis of Escherichia coli O157 strains in China.

Xiao W Ji, Ya L Liao, Ye F Zhu, Hai G Wang, Ling Gu, Jiang Gu, Chen Dong, Hong L Ding, Xu H Mao, Feng C Zhu and 1 more

Abstract read
In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Traditional marketed meats as a reservoir of multidrug-resistant Escherichia coli.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
  2. Article
  3. First Isolation and Molecular Characterization ofFrontiers in veterinary science · 2021
    Article
  4. Molecular and Phenotypic Characteristics ofBioMed research international · 2019
    Article
  5. 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

11 authors.

Xiao W JiDepartment of Clinical Micbiology and Immunology, Faculty of Medical Laboratory Science, Third Military Medical University, Chongqing, 400038, PR China.
Ya L Liao
Ye F Zhu
Hai G Wang
Ling Gu
Jiang Gu
Chen Dong
Hong L Ding
Xu H Mao
Feng C Zhu
Quan M Zou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia coli O157:H7, an important food-borne pathogen, has become a major public health concern worldwide. The aim of this study was to investigate the molecular epidemiologic feature of E. coli O157:H7 strains in China. 105 E. coli O157:H7 isolates were collected from various hosts and places over 9 years. A multilocus sequence typing scheme (MLST) was applied for bacteria genotyping and polymerase chain reaction (PCR) was used for virulence factor identification. Seven new MLST sequence types (STs), namely ST836, ST837, ST838, ST839, ST840, ST841, and ST842 were identified, which grouped into two lineages. Phylogenetic analysis suggested that the most two frequent STs in China, ST837 and ST836, may be the derivatives of E. coli O157:H7 Sakai or E. coli O157:H7 EDL933. Geographical diversity and host variety of E. coli O157:H7 were observed in China. In addition, the different distribution of tccp was detected. The data presented herein provide new insights into the molecular epidemiologic feature of E. coli O157:H7, and aid in the investigation of the transmission regularity and evolutionary mechanism of E. coli O157:H7.

Indexed as

Bacterial Typing TechniquesMultilocus Sequence TypingAnimalsChinaCluster AnalysisDNA, BacterialEscherichia coli InfectionsEscherichia coli O157GenotypeHumansMolecular EpidemiologyPhylogenyPolymerase Chain ReactionVirulence FactorsDNA, BacterialVirulence Factors

Identifiers

PMID21221945
PMCPMC7091087

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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.