Evidence map›Paper›PMID 31488047›Full record

ArticleBMC microbiology2019

High prevalence of non-O157 Shiga toxin-producing Escherichia coli in beef cattle detected by combining four selective agars.

Ruyue Fan, Kun Shao, Xi Yang, Xiangning Bai, Shanshan Fu, Hui Sun, Yanmei Xu, Hong Wang, Qun Li, Bin Hu and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 47 citations in OpenAlex.

  1. Genomic structure ofMicrobial genomics · 2026
    Article
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  3. Genotypic Profiling of Virulence and Antibiotic Resistance Genes ofInternational journal of microbiology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Detection and analysis of Shiga toxin producing and enteropathogenic Escherichia coli in cattle from Tierra del Fuego, Argentina.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  9. Prevalence and Implications of Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2022
    Review
  10. The "Big Six": Hidden Emerging Foodborne Bacterial Pathogens.Tropical medicine and infectious disease · 2022
    Review
  11. Article
  12. Article
  13. ABToxins · 2022
    Review
  14. Review
  15. Genomic Characteristics of Stx2e-ProducingPathogens (Basel, Switzerland) · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Antimicrobial Resistance of Non-O157 Shiga Toxin-ProducingAntibiotics (Basel, Switzerland) · 2021
    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

12 authors at 3 institutions in 2 countries.

Ruyue FanState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
Kun ShaoShandong Center for Disease Control and Prevention, Jinan, Shandong Province, China.
Xi YangState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
Xiangning BaiState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
Shanshan FuState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
Hui SunState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
Yanmei XuState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
Hong WangZigong Center for Disease Control and Prevention, Zigong, Sichuan Province, China.
Qun LiZigong Center for Disease Control and Prevention, Zigong, Sichuan Province, China.
Bin HuShandong Center for Disease Control and Prevention, Jinan, Shandong Province, China.
Ji ZhangmEpiLab, New Zealand Food Safety Science & Research Center, Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand.
Yanwen XiongState Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China. xiongyanwen@icdc.cn.
National Institute for Communicable Disease Control and Prevention · CNShandong Center for Disease Control and Prevention · CNMassey University · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShiga toxin-producing Escherichia coli (STEC) are emerging foodborne pathogens that are public health concern. Cattle have been identified as the major STEC reservoir. In the present study, we investigated the prevalence and characteristics of STEC strains in beef cattle from a commercial farm in Sichuan province, China.

resultsAmong 120 beef cattle fecal samples, stx genes were positive in 90% of samples, as assessed using TaqMan real-time PCR, and 87 (72.5%) samples were confirmed to yield at least one STEC isolate by culture using four selective agars, MacConkey, CHROMagar™ ECC, modified Rainbow® Agar O157, and CHROMagar™ STEC, from which 31, 32, 91, and 73 STEC strains were recovered, respectively. A total of 126 STEC isolates were selected and further characterized. Seventeen different O:H serotypes were identified, all of which belonged to the non-O157 serotypes. One stx

conclusionsOur study showed that the joint use of the selective MacConkey and modified Rainbow® Agar O157 agars increased the recovery frequency of non-O157 STEC strains in animal feces, which could be applied to other samples and in regular STEC surveillance. Moreover, the results revealed high genetic diversity of non-O157 STEC strains in beef cattle, some of which might have the potential to cause human diseases.

Indexed as

AnimalsBacterial AdhesionCattleCattle DiseasesChinaCulture MediaEscherichia coli InfectionsEscherichia coli ProteinsFarmsFecesGenome, BacterialPrevalenceSerogroupShiga-Toxigenic Escherichia coliVirulenceCulture MediaEscherichia coli ProteinsBeef cattleCulture mediumEscherichia coliNon-O157 STECO157:H7Shiga toxin

Identifiers

PMID31488047
PMCPMC6728992
OpenAlexW2971408741

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.