ReviewJournal of biomedicine & biotechnology2010
Role of antimicrobial selective pressure and secondary factors on antimicrobial resistance prevalence in Escherichia coli from food-producing animals in Japan.
Review in Journal of biomedicine & biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 148 citations in OpenAlex.
- Non-prescription antimicrobial use worldwide: a systematic review.The Lancet. Infectious diseases · 2011Pooled it
- Antimicrobial resistance and genomic characteristics of bovine Escherichia coli from five northern provinces of China.BMC genomics · 2026Article
- Global Distribution and Comparative Resistance Profiles ofFood science & nutrition · 2026Article
- Antimicrobial susceptibility of Escherichia coli isolated from wild deer (Cervus nippon yesoensis) and fox (Vulpes vulpes schrencki) in Hokkaido: a pilot study on sustainable antimicrobial resistance monitoring.The Journal of veterinary medical science · 2026Article
- Prevalence and characteristics of Escherichia albertii and Escherichia fergusonii isolates from healthy farm animals in Japan.The Journal of veterinary medical science · 2026Article
- Characterization ofMicrobiology spectrum · 2026Article
- Multidrug Resistance in Bacterial Isolates from Clinical Samples Submitted to a National Veterinary Diagnostic Facility in Uganda (2014-2020): A Retrospective Analysis.Antibiotics (Basel, Switzerland) · 2025Article
- Genetic Characterization, Antibiotic Resistance, and Virulence Genes Profiling ofAntibiotics (Basel, Switzerland) · 2024Article
- Unveiling the Druggable Landscape of Bacterial Peptidyl tRNA Hydrolase: Insights into Structure, Function, and Therapeutic Potential.Biomolecules · 2024Review
- Relevance of the Adjuvant Effect between Cellular Homeostasis and Resistance to Antibiotics in Gram-Negative Bacteria with Pathogenic Capacity: A Study ofAntibiotics (Basel, Switzerland) · 2024Review
- Commercial farmed swine harbour a variety of pathogenic bacteria and antimicrobial resistance genes.Journal of medical microbiology · 2024Article
- Antimicrobial usage surveys using electronic medical records in cattle practice in Gifu Prefecture.The Journal of veterinary medical science · 2023Article
- Antimicrobial resistance profiles ofJAC-antimicrobial resistance · 2023Article
- Phylogenetic Analysis ofAntibiotics (Basel, Switzerland) · 2023Article
- Antibacterial and Healing Effect of Chicha Gum Hydrogel (International journal of molecular sciences · 2023Article
- Klebsiella pneumoniae carbapenamases in Escherichia coli isolated from humans and livestock in rural south-western Uganda.PloS one · 2023Article
- Nationwide analysis of antimicrobial resistance in pathogenicFrontiers in microbiology · 2023Article
- Impact of Positive Culture Reports ofInfection and drug resistance · 2023Article
- A survey of antimicrobial-resistant Escherichia coli prevalence in wild mammals in Japan using antimicrobial-containing media.The Journal of veterinary medical science · 2022Article
- Current status and future perspective of antimicrobial-resistant bacteria and resistance genes in animal-breeding environments.The Journal of veterinary medical science · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of antimicrobial agents in the veterinary field affects the emergence, prevalence, and dissemination of antimicrobial resistance in bacteria isolated from food-producing animals. To control the emergence, prevalence, and dissemination of antimicrobial resistance, it is necessary to implement appropriate actions based on scientific evidence. In Japan, the Japanese Veterinary Antimicrobial Resistance Monitoring System (JVARM) was established in 1999 to monitor the antimicrobial susceptibility of foodborne and commensal bacteria from food-producing animals. The JVARM showed that the emergence and prevalence of resistant Escherichia coli were likely linked to the therapeutic antimicrobial use in food-producing animals through not only direct selection of the corresponding resistance but also indirect selections via cross-resistance and coresistance. In addition, relevant factors such as host animals and bacterial properties might affect the occurrence and prevalence of antimicrobial-resistant E. coli under the selective pressure from antimicrobial usage. This paper reviews the trends in antimicrobial resistance in E. coli and consumption of antimicrobials agents in Japan and introduces the relationship between antimicrobial usage and prevalence of antimicrobial-resistant bacteria, from food-producing animals under the JVARM program. In this paper, we will provide the underlying information about the significant factors that can help control antimicrobial resistance in bacteria in veterinary medicine.
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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.