Evidence map›Paper›PMID 38024271›Full record

ArticleOne health (Amsterdam, Netherlands)2023

Evaluating the contribution of antimicrobial use in farmed animals to global antimicrobial resistance in humans.

Zahra Ardakani, Massimo Canali, Maurizio Aragrande, Laura Tomassone, Margarida Simoes, Agnese Balzani, Caetano Luiz Beber

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Zahra ArdakaniDepartment of Agricultural and Food Science, University of Bologna, Italy.
Massimo CanaliDepartment of Agricultural and Food Science, University of Bologna, Italy.
Maurizio AragrandeDepartment of Agricultural and Food Science, University of Bologna, Italy.
Laura TomassoneDepartment of Veterinary Sciences, University of Turin, Italy.
Margarida SimoesComprehensive Health Research Centre (CHRC), University of Evora, Portugal.
Agnese BalzaniAnimals in Farming Programme, World Animal Protection, United Kingdom.
Caetano Luiz BeberDepartment of Agricultural and Food Science, University of Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is currently regarded by the World Health Organization (WHO) as one of the most significant risks to global public health. The most critical causes of AMR infections in humans are the misuse and overuse of antimicrobials in humans and farmed animals. The rising global demand for food of animal origin encourages the increase of animal production worldwide, especially in developing countries. Simultaneously, current farming practices often extensively use antimicrobials on animals, influencing bacterial AMR incidence. This study aims to evaluate the correlation between antimicrobial use (AMU) in farmed animals and the detection of AMR infections in humans, the effects of enforcing laws in animal farming in a country on AMR situation in the neighbors, and the potential of AMR to spread from one country to another. Using data from 30 largest animal-producing countries in different regions of the world, between 2010 and 2020, and a Spatial Durbin Model (SDM), we found that AMU in farmed animals increases AMR in humans and there is a spatial dependence between countries regarding AMR spreading. Such findings indicate that a globally coordinated strategy regulating AMU on farmed animals may reduce AMR emergence and worldwide spreading.

Indexed as

AntibioticsAntimicrobial resistance (AMR) in humansAntimicrobial use (AMU) in farmed animalsOne healthSpatial analysis

Identifiers

PMID38024271
PMCPMC10665205

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Registered trials

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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.