Evidence map›Paper›PMID 40303189›Full record

ArticleTransboundary and emerging diseases2024

Wild Birds as Drivers of

Camilla Smoglica, Giulia Graziosi, Damiano De Angelis, Caterina Lupini, Annarita Festino, Elena Catelli, Alberto Vergara, Cristina Esmeralda Di Francesco

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Transboundary and emerging diseases, 2024. 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. 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

8 authors.

Camilla SmoglicaDepartment of Veterinary Medicine, University of Teramo, Piano D'Accio, Teramo 64100, Italy.ORCID https://orcid.org/0000-0001-6571-9110
Giulia GraziosiDepartment of Veterinary Medical Sciences, University of Bologna, Ozzano dell'Emilia, Bologna 40064, Italy.ORCID https://orcid.org/0000-0001-9857-1298
Damiano De AngelisDepartment of Veterinary Medicine, University of Teramo, Piano D'Accio, Teramo 64100, Italy.
Caterina LupiniDepartment of Veterinary Medical Sciences, University of Bologna, Ozzano dell'Emilia, Bologna 40064, Italy.ORCID https://orcid.org/0000-0002-2085-3516
Annarita FestinoDepartment of Veterinary Medicine, University of Teramo, Piano D'Accio, Teramo 64100, Italy.
Elena CatelliDepartment of Veterinary Medical Sciences, University of Bologna, Ozzano dell'Emilia, Bologna 40064, Italy.ORCID https://orcid.org/0000-0002-6232-0857
Alberto VergaraDepartment of Veterinary Medicine, University of Teramo, Piano D'Accio, Teramo 64100, Italy.ORCID https://orcid.org/0000-0001-5593-8029
Cristina Esmeralda Di FrancescoDepartment of Veterinary Medicine, University of Teramo, Piano D'Accio, Teramo 64100, Italy.ORCID https://orcid.org/0000-0002-0896-4539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the antimicrobial resistance profiles of bacterial strains obtained from wild avian species recovered in wetlands of Northern Italy were described. Cloacal swabs collected from 67 aquatic birds, hunted or found dead in two private hunting grounds, were submitted to microbiological investigations and antimicrobial susceptibility testing using the Vitek 2 system, while specific PCR protocols were applied to screen for genes associated with the resistance. One hundred fifty-seven bacterial strains were characterized. The most frequent isolates were

Indexed as

Bird DiseasesDrug Resistance, Multiple, BacterialSalmonellaSalmonella Infections, AnimalAnimalsAnimals, WildAnti-Bacterial AgentsBirdsItalyMicrobial Sensitivity TestsPhylogenyWetlandsAnti-Bacterial Agents

Identifiers

PMID40303189
PMCPMC12016999

What OpenQuestion holds

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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.