Evidence map›Paper›PMID 37150602›Full record

ArticleThe Journal of veterinary medical science2023

Low potential of persistence and dissemination of antimicrobial-resistant Enterobacterales by wild nutria (Myocastor coypus) in a local river of Gifu Prefecture.

Tomoki Nakatsubo, Kohei Nakamura, Tsutomu Omatsu, Michiyo Sugiyama, Tetsuo Asai

Open access · diamondAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 2023. 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
0.5field-weighted citation impact, top 34% of its field
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, 3 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Tomoki NakatsuboFaculty of Applied Biological Science, Gifu University, Gifu, Japan.
Kohei NakamuraFaculty of Applied Biological Science, Gifu University, Gifu, Japan.
Tsutomu OmatsuCenter for Infectious Diseases Epidemiology and Prevention Research, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Michiyo SugiyamaThe United Graduate School of Veterinary Medicine, Gifu University, Gifu, Japan.
Tetsuo AsaiThe United Graduate School of Veterinary Medicine, Gifu University, Gifu, Japan.
Gifu University · JPTokyo University of Agriculture and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental pollution caused by antimicrobial resistance is a global public health concern. To investigate the contribution of nutrias (Myocastor coypus) to the presence of extended-spectrum β-lactamase (ESBL)-producing Enterobacterales in the Ijira River, prevalence of ESBL-producing Enterobacterales in their feces was examined using deoxycholate-hydrogen sulfide-lactose agar containing cefotaxime. Additionally, the composition of the fecal microbiota of nutria was examined using DNA metabarcoding analysis of the 16S ribosomal RNA gene and compared with that of Amami rabbit, deer, fox, and raccoon dog. The absence of ESBL-producing Enterobacterales and substantially lower abundance of Enterobacterales was observed in the feces of nutrias than in those of other wild mammals. Our results suggest the low potential of antimicrobial-resistant Enterobacterales persistence and dissemination by nutria.

Indexed as

Anti-Infective AgentsDeerAnimalsAnti-Bacterial Agentsbeta-LactamasesCefotaximeRabbitsRiversRodentiaAnti-Bacterial AgentsAnti-Infective Agentsbeta-LactamasesCefotaximeantimicrobial resistanceEnterobacteralesmicrobiotanutriariver

Identifiers

PMID37150602
PMCPMC10315553
OpenAlexW4367665383

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.