Evidence map›Paper›PMID 31484211›Full record

ArticleTransboundary and emerging diseases2020

Identifying emerging trends in antimicrobial resistance using Salmonella surveillance data in poultry in Spain.

Julio Alvarez, Gema Lopez, Petra Muellner, Cristina de Frutos, Christina Ahlstrom, Tania Serrano, Miguel A Moreno, Manuel Duran, Jose Luis Saez, Lucas Dominguez and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Transboundary and emerging diseases, 2020. 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
2.2field-weighted citation impact, top 13% 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, 14 citations in OpenAlex.

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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

11 authors at 5 institutions in 3 countries.

Julio AlvarezVISAVET Health Surveillance Center, Universidad Complutense, Madrid, Spain.ORCID https://orcid.org/0000-0002-8999-9417
Gema LopezSubdirección General de Sanidad e Higiene Animal y Trazabilidad, Dirección General de la Producción Agraria, Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain.
Petra MuellnerEpi-Interactive, Wellington, New Zealand.
Cristina de FrutosLaboratorio Central de Veterinaria (LCV Algete), Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain.
Christina AhlstromEpi-Interactive, Wellington, New Zealand.
Tania SerranoTRAGSATEC, Tecnologías y Servicios Agrarios S.A, Madrid, Spain.
Miguel A MorenoDepartamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense, Madrid, Spain.
Manuel DuranLaboratorio Central de Veterinaria (LCV Algete), Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain.
Jose Luis SaezSubdirección General de Sanidad e Higiene Animal y Trazabilidad, Dirección General de la Producción Agraria, Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain.
Lucas DominguezVISAVET Health Surveillance Center, Universidad Complutense, Madrid, Spain.
Maria Ugarte-RuizVISAVET Health Surveillance Center, Universidad Complutense, Madrid, Spain.
Ministerio de Agricultura, Pesca y Alimentación · ESUniversidad Complutense de Madrid · ESEmpresarios Agrupados · ESMinistry of Business, Innovation and Employment · NZUniversity of Minnesota · US

Funding

One Health European Joint Program, H2020 773830
6 · The paper itself

Abstract

Despite of controls and preventive measures implemented along the food chain, infection with non-typhoidal Salmonella (NTS) remains one of the major causes of foodborne disease worldwide. Poultry is considered one of the major sources of NTS. This has led to the implementation of monitoring and control programmes in many countries (including Spain) to ensure that in poultry flocks infection is kept to a minimum and to allow the identification and monitoring of circulating NTS strains and their antimicrobial resistance (AMR) phenotypes. Here, we investigated the information from the monitoring programme for AMR in Salmonella from poultry in Spain in 2011-2017 to assess the diversity in phenotypic resistance and to evaluate the programme's ability to detect multi-resistance patterns and emerging strains in the animal reservoir. Data on serotype and AMR to nine antimicrobials obtained from 3,047 NTS isolates from laying hens (n = 1,060), broiler (n = 765) and turkey (n = 1,222) recovered during controls performed by the official veterinary services and food business operators were analysed using univariate and multivariate methods in order to describe host and serotype-specific profiles. Diversity and prevalence of phenotypic resistance to all but one of the antimicrobials (colistin) were higher in NTS from broiler and turkey compared with laying hen isolates. Certain combinations of serotype and AMR pattern (resistotype) were particularly linked with certain hosts (e.g. susceptible Enteritidis with laying hens, multi-drug resistant (MDR) Derby in turkey, MDR Kentucky in turkey and broiler). The widespread presence of certain serotype-resistotype combinations in certain hosts/years suggested the possible expansion of MDR strains in the animal reservoir. This study demonstrates the usefulness of the analysis of data from monitoring programmes at the isolate level to detect emerging threats and suggests aspects that should be subjected to further research to identify the forces driving the expansion/dominance of certain strains in the food chain.

Indexed as

Drug Resistance, BacterialAnimalsAnti-Bacterial AgentsChickensDisease ReservoirsFemalePhenotypePoultryPoultry DiseasesPrevalenceSalmonellaSalmonella Infections, AnimalSerogroupSpainTurkeysAnti-Bacterial Agentsantimicrobial resistancefoodbornemonitoringNon-typhoidal Salmonellapoultryserotype Kentucky

Identifiers

PMID31484211
PMCPMC7028142
OpenAlexW2971362648

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.