Evidence map›Paper›PMID 40050801›Full record

SynthesisBMC veterinary research2025

Systematic review and meta-analysis of antimicrobial resistant bacteria in free-ranging wild mammals.

Camilla Smoglica, Antonella Carcagnì, Simone Angelucci, Fabrizia Di Tana, Fulvio Marsilio, Jorge Ramón López-Olvera, Cristina Esmeralda Di Francesco

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Species Identification and Antimicrobial Resistance ofAnimals : an open access journal from MDPI · 2026
    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

7 authors.

Camilla SmoglicaDepartment of Veterinary Medicine, University of Teramo, Teramo, 64100, Italy. csmoglica@unite.it.
Antonella CarcagnìEpidemiology and Biostatistics Facility, G-STeP Generator, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Simone AngelucciWildlife Research Center, Maiella National Park, Caramanico Terme, 65023, Italy.
Fabrizia Di TanaWildlife Research Center, Maiella National Park, Caramanico Terme, 65023, Italy.
Fulvio MarsilioDepartment of Veterinary Medicine, University of Teramo, Teramo, 64100, Italy.
Jorge Ramón López-OlveraWildlife Ecology and Health Groupand, Departament de MedicinaICirurgia Animals, Universitat Autònoma de Barcelona (UAB), Barcelona, 08193, Spain.
Cristina Esmeralda Di FrancescoDepartment of Veterinary Medicine, University of Teramo, Teramo, 64100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacterial antimicrobial resistance is a significant global threat to public health, closely linked to the misuse of antimicrobials in human and veterinary medicine, aquaculture, and agriculture. The consequences of antimicrobial resistance overcome species boundaries and require a holistic approach for mitigation actions. The study of antimicrobial resistance in wildlife is thus increasingly relevant to understand the spread of antimicrobial resistance in the environment and the animal community, as well as to investigate the role of wildlife either as a carrier, reservoir, spillover, or indicator of antimicrobial resistance. The aim of this study is to describe the prevalence and type of antimicrobial resistance in bacterial isolates from wild mammals through systematic review and meta-analysis of the available literature, following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines.

resultsOut of 5052 collected documents, 3795 were screened, and finally 139 studies on antimicrobial resistance in free-ranging wild mammals were included in the meta-analysis. The studies covered 37 countries, mostly European. The Enterobacterales Escherichia coli and Salmonella spp., as well as Campylobacter spp., were the most frequently targeted bacterial species, mainly in the Artiodactyla order and specifically in the Suidae and Cervidae families. Low to moderate prevalences of antimicrobial resistance were found in all the continents, countries, bacteria, host taxa, and antimicrobials included in the meta-analysis, even for critically important antimicrobials as defined by the World Health Organisation, with higher values in Africa and Asia, in carnivores, and in animal species with high adaptability to diverse habitats.

conclusionThis meta-analysis showed that antimicrobial resistance in wild mammals is widespread and variable according to taxonomy, trophic source, and geographic location. The meta-analysis highlighted methodological gaps that need to be addressed to improve the interpretation and conclusions obtained from the data. Genetic analyses on antimicrobial resistance and population ecological data should be included in future analysis to achieve a standardised methodology and overcome current limitations. To date, wildlife appears to be an environmental indicator of antimicrobial resistance and should be included in antimicrobial resistance surveillance plans not only because this sentinel role but also to monitor potential spill-back to livestock and/or humans.

Indexed as

Animals, WildAnti-Bacterial AgentsBacteriaDrug Resistance, BacterialMammalsAnimalsAnti-Bacterial AgentsAntimicrobial drug resistanceCampylobacter spp.EnterobacteralesEscherichia coliMammalsMeta-analysisPrevalenceSalmonella spp.Systematic reviewWild animals

Identifiers

PMID40050801
PMCPMC11887149

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.