Evidence map›Paper›PMID 41803876›Full record

ArticleBMC veterinary research2026

Integrating heterogeneous data to address endemic diseases in broiler production: insights from a Polish case study.

Camille Delavenne, Marcin Śmiałek, Jacobus Joannes Sjaak de Wit, Céline Faverjon

Abstract read
In one paragraph

Article in BMC veterinary research, 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

4 authors.

Camille DelavenneEpiMundi, Lyon, France. camille.delavenne@epimundi.com.ORCID https://orcid.org/0009-0003-3334-7270
Marcin ŚmiałekFaculty of Veterinary Medicine, University of Warmia and Mazury, Olsztyn, Poland.ORCID http://orcid.org/0000-0003-3288-0789
Jacobus Joannes Sjaak de WitFaculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-3459-1000
Céline FaverjonEpiMundi, Lyon, France.ORCID http://orcid.org/0000-0001-6737-1883

Funding

European Commission 101000494
6 · The paper itself

Abstract

backgroundEndemic contagious diseases in broilers have a significant impact on production performance. However, endemic contagious diseases are multifaceted and complex. They are rarely monitored on a large scale. This complexity hinders their mitigation, as timely information about their distribution and knowledge about their impact on production performance is scarce. This study aimed to evaluate whether data routinely produced by the Polish broiler industry, the first European meat producer, could be reused to generate knowledge about those diseases and provide stakeholders with contextual information to improve their disease management.

resultsThe study reused a dataset collected by a large producer and a veterinary laboratory, which implemented a screening program at the end of the production cycle. The high-dimensional dataset covered 115 ‘screened flocks’ produced between 2018 and 2023 across Poland. The information was dispersed across 75 variables on production indicators, health indicators, necropsy lesions, and a list of evidence of infection or infestation by a diverse range of aetiological agents (bacterial, viral, and Eimeria) and regrouped into 8 themes. The ‘screened flocks’, despite strong production performance indicators, exhibited a high mortality rate (mean of 6.01%) and a wide range of pathogens (19 bacteria, 3 viruses, and Eimeria infestation observed). The cluster analysis, after identifying two outliers, defined three flock profiles, linking the observation variables (health, production indicator, necropsy lesions) to the aetiological agents. ‘Screened flocks’ from the first cluster (27 flocks) were described as a flock with high rates of fibrinous lesions, with a high condemnation rate associated with the identification of E. coli. The second cluster (64 flocks) was defined by high production performances but also higher rates of femoral head necrosis. The ‘screened flocks’ from the last cluster (22 flocks) exhibited lower production performance, indicating strong Eimeria spp. infestation and circulation of avian metapneumovirus.

conclusionThe study is an example of how high-dimensional data produced by the broiler industry can be reused and integrated to create contextual knowledge for farmers and veterinarians about endemic contagious diseases. Access to this timely contextual knowledge is essential to enhance disease prevention and management efforts for farmers, veterinarians, and other stakeholders in the broiler industry.

Indexed as

ChickensEndemic DiseasesPoultry DiseasesAnimal HusbandryAnimalsPolandCluster analysisData reuseEndemic diseaseHealthPoultryProduction performance

Identifiers

PMID41803876
PMCPMC13085543

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.