Evidence map›Paper›PMID 41492293›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Bacterial contamination level and characterization of antimicrobial-resistant bacteria in commercial pet foods in Japan.

Akira Fukuda, Kazu Yamaura, Kazuyoshi Tokumoto, Yasuhiko Suzuki, Chie Nakajima, Shoichiro Yukawa, Masaru Usui

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Global genomic characteristics of mobile colistin resistance mcr genes in Enterobacterales from companion animals.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    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

7 authors.

Akira FukudaFood Microbiology and Food Safety Unit, Division of Preventive Veterinary Medicine, School of Veterinary Medicine, Rakuno Gakuen University, Ebetsu, Japan.
Kazu YamauraFood Microbiology and Food Safety Unit, Division of Preventive Veterinary Medicine, School of Veterinary Medicine, Rakuno Gakuen University, Ebetsu, Japan.
Kazuyoshi TokumotoHarmony Corporation, Tokyo, Japan.
Yasuhiko SuzukiDivision of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo, Hokkaido, Japan.
Chie NakajimaDivision of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo, Hokkaido, Japan.
Shoichiro YukawaDepartment of Comparative Animal Science, College of Life Science, Kurashiki University of Science and The Arts, Okayama, Japan.
Masaru UsuiFood Microbiology and Food Safety Unit, Division of Preventive Veterinary Medicine, School of Veterinary Medicine, Rakuno Gakuen University, Ebetsu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the growing pet market, various types of pet food become available. Pet foods, especially raw meat-based diets (RMBDs), are contaminated with pathogens and antimicrobial-resistant bacteria, leading to health concerns for pets and humans. The bacterial contamination levels in pet food, including the presence of antimicrobial-resistant bacteria, have not been extensively studied in Japan. To address this issue in commercial pet foods in Japan, we evaluated the standard plate counts (SPCs) of various pet food samples, and isolated and characterized

Indexed as

Antimicrobial-resistant bacteriaBacterial contaminationCephalosporinEnterococcusEscherichia coliLinezolidPet food

Identifiers

PMID41492293
PMCPMC12765119

What OpenQuestion holds

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LicenceCC BY
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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.