ArticleApplied and environmental microbiology2025
Antimicrobial resistance prevalence in
Article in Applied and environmental microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Antimicrobial susceptibility and virulence traits ofFrontiers in microbiology · 2026Article
- Prevalence of ESBL-associated resistance genes and antimicrobial resistance inFrontiers in veterinary science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The European Union aggregates surveillance data for antimicrobial resistance (AMR) in livestock at the member state level. However, data evaluated nationally do not allow regionalized risk assessment and reactions. In an attempt to estimate the magnitude and granularity of regional differences, we collected AMR data for IMPORTANCE: Surveillance is a key element of the World Health Organization's Global Action Plan on Antimicrobial Resistance (AMR). With livestock representing a potential source for AMR transmission, its inclusion in surveillance programs is indispensable. Governmental surveillance of livestock in the European Union only depicts nationally aggregated AMR data. However, obtaining AMR data at subnational levels, although possibly laborious, is essential to gain insights into local situations. These may differ depending on the region surveyed, but their knowledge is essential for targeted risk assessment and interventions. Our study aimed at collecting such data while simultaneously testing a time-saving sampling approach. Hence, we sampled animal transporters carrying fattening pigs to an abattoir with boot swabs and determined AMR prevalence for
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Registered trials
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.