Evidence map›Paper›PMID 42021882›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2026

[Detection and Distribution Characteristics of Antibiotic Resistance Genes in Companion Animals].

Ruixue Wang, Longyi An, Xiaofang Pei, Jiayi Chen

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ruixue Wang/ （ 610041）Department of Public Health Laboratory Sciences, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu 610041, China.ORCID 0009-0009-3363-1937
Longyi An/ （ 610041）Department of Public Health Laboratory Sciences, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Xiaofang Pei/ （ 610041）Department of Public Health Laboratory Sciences, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Jiayi Chen/ （ 610041）Department of Public Health Laboratory Sciences, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0001-9325-5237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the distribution characteristics of antimicrobial resistance genes (ARGs) in companion animals and accumulate scientific data for preventing the transmission of ARGs between companion animals and humans. Methods: From December 2023 to October 2024, fecal or rectal swab samples were collected from companion animals at a large pet hospital in Chengdu. PCR and qPCR were used to detect 9 ARGs types (including 20 ARGs). The distribution characteristics of ARGs in companion animals with different species, gender, age, clinical status and the mobile genetic element Results: A total of 136 samples were collected. The median (interquartile range) of ARGs detected per animal was 6.5 (5, 9). Tetracycline and aminoglycoside resistance genes had higher detection rates, with Conclusion: Companion animals commonly carry ARGs, with tetracycline and aminoglycoside resistance genes having high detection rates. Age and the carriage of

Indexed as

Drug Resistance, BacterialGenes, BacterialPetsAnimalsAnti-Bacterial AgentsCatsDogsFemaleMaleAnti-Bacterial AgentsAntimicrobial resistance genesCompanion animalsDistribution characteristicsMobile genetic element

Identifiers

PMID42021882
PMCPMC13095752

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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.