Evidence map›Paper›PMID 33763460›Full record

ArticleFrontiers in veterinary science2021

Detection of

Ana P Vale, Lynae Shubin, Juliana Cummins, Finola C Leonard, Gerald Barry

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. A Retrospective Analysis ofMicroorganisms · 2024
    Article
  3. Article
  4. Genomic Characterization of Extended-SpectrumTransboundary and emerging diseases · 2024
    Article
  5. Antibiotic-ResistantVeterinary sciences · 2022
    Article
  6. Occurrence of Antimicrobial-ResistantAntibiotics (Basel, Switzerland) · 2022
    Article
  7. Presence of β-Lactamase-producing Enterobacterales andInternational journal of molecular sciences · 2021
    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

5 authors at 2 institutions in 2 countries.

Ana P ValeSchool of Veterinary Medicine, University College Dublin, Dublin, Ireland.
Lynae ShubinSchool of Veterinary Medicine, University of California, Davis, Davis, CA, United States.
Juliana CumminsCentral Veterinary Research Laboratory, Backweston Laboratory Complex, Celbridge, Ireland.
Finola C LeonardSchool of Veterinary Medicine, University College Dublin, Dublin, Ireland.
Gerald BarrySchool of Veterinary Medicine, University College Dublin, Dublin, Ireland.
University College Dublin · IEUniversity of California, Davis · US

Funding

Students Training in Advanced Research (STAR) ProgramT35OD010956 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DANIKA L BANNASCH · 2012 to 2026
$1.6M
NIH HHS T35 OD010956
6 · The paper itself

Abstract

Marine mammals are frequently considered good sentinels for human, animal and environmental health due to their long lifespan, coastal habitat, and characteristics as top chain predators. Using a One Health approach, marine mammals can provide information that helps to enhance the understanding of the health of the marine and coastal environment. Antimicrobial resistance (AMR) is the quintessential One Health problem that poses a well-recognised threat to human, animal, and ecosystem health worldwide. Treated and untreated sewage, hospital waste and agricultural run-off are often responsible for the spread of AMR in marine and freshwater ecosystems. Rescued seals (

Indexed as

antimicrobial resistanceE. coliOne Healthsealsvirulence factorsβ-lactamases

Identifiers

PMID33763460
PMCPMC7982830
OpenAlexW3135719960

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.