Evidence map›Paper›PMID 32392237›Full record

ArticlePloS one2020

Virulence factors and antibiograms of Escherichia coli isolated from diarrheic calves of Egyptian cattle and water buffaloes.

Nader M Sobhy, Sarah G A Yousef, Hamada A Aboubakr, Muhammad Nisar, Kakambi V Nagaraja, Sunil K Mor, Robert J Valeris-Chacin, Sagar M Goyal

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Shiga Toxin-ProducingMicroorganisms · 2025
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  4. In Vitro Antibacterial Activity of Essential Oils fromPathogens (Basel, Switzerland) · 2024
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  6. Antimicrobial Resistance and Pathotypes ofAnimals : an open access journal from MDPI · 2024
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  7. Article
  8. Article
  9. Occurrence ofPathogens (Basel, Switzerland) · 2022
    Article
  10. Article
  11. Multidrug-Resistant EnteropathogenicAntibiotics (Basel, Switzerland) · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. 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

8 authors at 2 institutions in 3 countries.

Nader M SobhyDepartment of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Sharkia, Egypt.ORCID 0000-0002-9834-9627
Sarah G A YousefDepartment of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Sharkia, Egypt.
Hamada A AboubakrDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, United States of America.ORCID 0000-0002-8233-2353
Muhammad NisarDepartment of Veterinary and Biomedical Sciences, University of Minnesota, St. Paul, Minnesota, United States of America.
Kakambi V NagarajaDepartment of Veterinary and Biomedical Sciences, University of Minnesota, St. Paul, Minnesota, United States of America.
Sunil K MorDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, United States of America.
Robert J Valeris-ChacinDepartment of Veterinary and Biomedical Sciences, University of Minnesota, St. Paul, Minnesota, United States of America.
Sagar M GoyalDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, United States of America.
University of Minnesota · USZagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diarrhea caused by Escherichia coli in calves is an important problem in terms of survivability, productivity and treatment costs. In this study, 88 of 150 diarrheic animals tested positive for E. coli. Of these, 54 samples had mixed infection with other bacterial and/or parasitic agents. There are several diarrheagenic E. coli pathotypes including enteropathogenic E. coli (EPEC), Shiga-toxin producing E. coli (STEC), enterotoxigenic E. coli (ETEC) and necrotoxigenic E. coli (NTEC). Molecular detection of virulence factors Stx2, Cdt3, Eae, CNF2, F5, Hly, Stx1, and ST revealed their presence at 39.7, 27.2, 19.3, 15.9, 13.6, 9.0, 3.4, and 3.4 percent, respectively. As many as 13.6% of the isolates lacked virulence genes and none of the isolate had LT or CNF1 toxin gene. The odds of isolating ETEC from male calves was 3.6 times (95% CI: 1.1, 12.4; P value = 0.042) that of female calves, whereas the odds of isolating NTEC from male calves was 72.9% lower (95% CI: 91.3% lower, 15.7% lower; P value = 0.024) than that in females. The odds of isolating STEC in winter was 3.3 times (95% CI: 1.1, 10.3; P value = 0.037) that of spring. Antibiograms showed 48 (54.5%) of the isolates to be multi-drug resistant. The percent resistance to tetracycline, streptomycin, ampicillin, and trimethoprim-sulfamethoxazole was 79.5, 67.0, 54.5, and 43.0, respectively. Ceftazidime (14.8%), amoxicillin-clavulanic acid (13.6%) and aztreonam (11.3%) showed the lowest resistance, and none of the isolates was resistant to imipenem. The results of this study can help improve our understanding of the epidemiological aspects of E. coli infection and to devise strategies for protection against it. The prevalence of E. coli pathotypes can help potential buyers of calves to avoid infected premises. The antibiograms in this study emphasizes the risks associated with the random use of antibiotics.

Indexed as

Animal HusbandryAnimalsBuffaloesCattleCattle DiseasesDiarrheaDrug Resistance, Multiple, BacterialEscherichia coliEscherichia coli InfectionsEscherichia coli ProteinsFemaleMaleMicrobial Sensitivity TestsRisk FactorsSeasonsVirulence FactorsEscherichia coli ProteinsVirulence Factors

Identifiers

PMID32392237
PMCPMC7213691
OpenAlexW3021584822

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.