ArticleFrontiers in microbiology2019
Selection of Multidrug-Resistant Bacteria in Medicated Animal Feeds.
Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantifying antimicrobial resistance in food-producing animals in North America.Frontiers in microbiology · 2025Pooled it
- Prevalence, characterization and antibiogram of Staphylococcus aureus isolates from bovine and swine population in Bareilly, Uttar Pradesh, India.Scientific reports · 2025Article
- Evaluation of the Accumulation, Distribution, and Excretion of Different Silver Species in Tissues and Feces from Chickens and Pigs Fed with Silver-Based Nanomaterial Supplemented Feeds.ACS agricultural science & technology · 2025Article
- Unpredictability of the Fitness Effects of Antimicrobial Resistance Mutations Across Environments in Escherichia coli.Molecular biology and evolution · 2024Article
- Article
- Modeling the limits of detection for antimicrobial resistance genes in agri-food samples: a comparative analysis of bioinformatics tools.BMC microbiology · 2024Article
- The Role of Stakeholders' Understandings in Emerging Antimicrobial Resistance: A One Health Approach.Microorganisms · 2023Review
- Antimicrobial resistance trends among canine Escherichia coli isolated at a New York veterinary diagnostic laboratory between 2007 and 2020.Preventive veterinary medicine · 2022Article
- Evaluating the Potential and Synergetic Effects of Microcins against Multidrug-ResistantMicrobiology spectrum · 2022Article
- Nature-Inspired Antimicrobial Surfaces and Their Potential Applications in Food Industries.Foods (Basel, Switzerland) · 2022Review
- Antibacterial Activity of Kaolin-Silver Nanomaterials: Alternative Approach to the Use of Antibiotics in Animal Production.Antibiotics (Basel, Switzerland) · 2021Article
- Bacteriocins to Thwart Bacterial Resistance in Gram Negative Bacteria.Frontiers in microbiology · 2020Review
- Unknown Risk on the Farm: Does Agricultural Use of Ionophores Contribute to the Burden of Antimicrobial Resistance?mSphere · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exposure to antimicrobial resistant (AMR) bacteria is a major public health issue which may, in part, have roots in food production practices that are conducive to the selection of AMR bacteria ultimately impacting the human microbiome through food consumption. Of particular concern is the prophylactic use of antibiotics in animal husbandry, such as the medication of feeds with sulfonamides and other antibiotics not considered clinically relevant, but which may nonetheless co-select for multi-drug resistant (MDR) bacteria harboring resistance to medically important antibiotics. Using a MDR
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.