Evidence map›Paper›PMID 42785060›Full record

ArticlePoultry science2026

Phenotypic antimicrobial resistance patterns of Escherichia coli isolates from healthy chicken and turkey flocks in Hungary differ across poultry production systems.

Ádám Kerek, Levente Hunor Husz, Edit Szarka, Máté Hetyésy, Gergely Álmos Tornyos, Melinda Nemes-Terényi, László Kovács, Ákos Jerzsele, Csaba Varga

Abstract read
In one paragraph

Article in Poultry science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ádám KerekDepartment of Pharmacology and Toxicology, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary. Electronic address: kerek.adam@univet.hu.
Levente Hunor HuszDepartment of Pharmacology and Toxicology, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary. Electronic address: husz.levente.hunor@student.univet.hu.
Edit SzarkaDepartment of Pharmacology and Toxicology, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary. Electronic address: szarka.edit@student.univet.hu.
Máté HetyésyDepartment of Pharmacology and Toxicology, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary. Electronic address: hetyesy.mate@student.univet.hu.
Gergely Álmos TornyosDepartment of Pharmacology and Toxicology, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary. Electronic address: tornyos.gergely.almos@student.univet.hu.
Melinda Nemes-TerényiDepartment of Pharmacology and Toxicology, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary. Electronic address: terenyi.melinda@univet.hu.
László KovácsDepartment of Animal Hygiene, Herd Health and Mobile Clinic, University of Veterinary Medicine, István utca 2, Budapest, H-1078, Hungary. Electronic address: kovacs.laszlo@univet.hu.
Ákos JerzseleDepartment of Pharmacology and Toxicology, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary; National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine Budapest, István utca 2, Budapest, H-1078, Hungary. Electronic address: jerzsele.akos@univet.hu.
Csaba VargaDepartment of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign, Urbana, IL, USA. Electronic address: cvarga@illinois.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) in Escherichia coli from clinically healthy poultry flocks can indicate antimicrobial selection pressure and the potential entry of resistant bacteria into the food chain. Because chicken and turkey production systems differ, aggregation into a single poultry category may obscure relevant AMR heterogeneity. We characterized phenotypic AMR in 880 E. coli isolates collected in Hungary during 2022-2023 from breeder chickens (n = 98), broiler chickens (n = 185), egg layers (n = 127), broiler turkeys (n = 338), and turkey breeders (n = 132). Susceptibility to 11 antimicrobials representing seven class/group endpoints was determined by broth microdilution using CLSI, EUCAST, and literature-derived interpretive thresholds. Resistance profiles were summarized descriptively and by a fixed seven-cluster exploratory k-means analysis. Associations with production type and sample source were evaluated using county-random-intercept mixed-effects logistic models, with county-fixed-effect Firth logistic models used as sensitivity analyses; resistance-count burden was assessed using Conway-Maxwell-Poisson mixed-effects regression. Multidrug resistance was most frequent in broiler chickens (99.5%), followed by turkey breeders (87.1%) and broiler turkeys (84.3%), and resistance patterns differed across production categories. In resistance-count models, broiler chicken and broiler turkey isolates had higher expected numbers of resistant class/group endpoints than breeder chicken isolates (IRR = 1.63, 95% CI: 1.38-1.93; and IRR = 1.33, 95% CI: 1.20-1.47, respectively). Sensitivity analyses showed that several associations were robust in direction, whereas aminoglycoside/aminocyclitol and folate-pathway estimates were particularly model-dependent because of sparse data and limited geographic overlap. These findings support AMR surveillance stratified by poultry species and production category, while production-type associations should be interpreted within the geographic structure of the present sampling framework.

Indexed as

Antimicrobial resistanceChickenEscherichia coliMultidrug resistanceTurkey

Identifiers

PMID42785060
PMCPMC13634502

What OpenQuestion holds

Textmetadata
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.