Evidence map›Paper›PMID 32734018›Full record

ArticleVeterinary and animal science2016

Comparison of antimicrobial resistant genes in chicken gut microbiome grown on organic and conventional diet.

Narasimha V Hegde, Subhashinie Kariyawasam, Chitrita DebRoy

Abstract read
In one paragraph

Article in Veterinary and animal science, 2016. 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
–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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Occurrence and Multidrug Resistance ofFoods (Basel, Switzerland) · 2022
    Article
  7. Multi-Drug ResistantAntibiotics (Basel, Switzerland) · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Use of antibiotics in broiler production: Global impacts and alternatives.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2018
    Review
  18. Article
  19. Article
  20. Review
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

3 authors.

Narasimha V HegdeDepartment of Veterinary and Biomedical Sciences, E. coli Reference Center, The Pennsylvania State University, University Park, PA, United States.
Subhashinie KariyawasamDepartment of Veterinary and Biomedical Sciences, E. coli Reference Center, The Pennsylvania State University, University Park, PA, United States.
Chitrita DebRoyDepartment of Veterinary and Biomedical Sciences, E. coli Reference Center, The Pennsylvania State University, University Park, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotics are widely used in chicken production for therapeutic purposes, disease prevention and growth promotion, and this may select for drug resistant microorganisms known to spread to humans through consumption of contaminated food. Raising chickens on an organic feed regimen, without the use of antibiotics, is increasingly popular with the consumers. In order to determine the effects of diet regimen on antibiotic resistant genes in the gut microbiome, we analyzed the phylotypes and identified the antimicrobial resistant genes in chicken, grown under conventional and organic dietary regimens. Phylotypes were analyzed from DNA extracted from fecal samples from chickens grown under these dietary conditions. While gut microbiota of chicken raised in both conventional and organic diet exhibited the presence of DNA from members of

Indexed as

Antimicrobial resistance genesChickenGut microbiomeMetagenomic libraryPhylotypes

Identifiers

PMID32734018
PMCPMC7386714

What OpenQuestion holds

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LicenceCC BY
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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.