Evidence map›Paper›PMID 41250162›Full record

ArticlePorcine health management2025

Risk assessment for Brucella suis biovar 2 in Danish pigs.

Lis Alban, Annette Dresling, Maybritt Kiel Poulsen

Abstract read
In one paragraph

Article in Porcine health management, 2025. 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

3 authors.

Lis AlbanDepartment of Food Safety and Veterinary Issues, Danish Agriculture & Food Council, Copenhagen, Denmark. lia@lf.dk.
Annette DreslingDepartment of Food Safety and Veterinary Issues, Danish Agriculture & Food Council, Copenhagen, Denmark.
Maybritt Kiel PoulsenDepartment of Food Safety and Veterinary Issues, Danish Agriculture & Food Council, Copenhagen, Denmark.

Funding

Danish Pig Levy Fund 0000
6 · The paper itself

Abstract

backgroundIn Denmark, the number of uncastrated finishing pigs is on the increase, due to a wish to improve animal welfare and productivity. According to the EU legislation, all parts of a slaughter animal must be subjected to official inspection, with the penis as an exception if already discarded. The question is what the risk associated with not detecting abnormal testicles is for people working with pigs and consumers eating pig meat. To address this, we undertook a semi-quantitative risk assessment following WOAH guidelines, assuming two different transmission pathways (contact/meat-borne) and two different pig populations (indoor/outdoor) using Denmark as a case.

resultsBrucella spp. was identified as the only relevant public health hazard. Brucellosis is a notifiable zoonotic infection, among others resulting in enlarged testicles in infected boars. Denmark is officially free from B. abortus and B. melitensis, whereas B. suis biovar 2 has been detected on a few occasions during the last 50 years. No human cases have ever been detected in Denmark, and only few cases are found elsewhere. Pig meat is not ascribed to transmission of infection unless the meat comes from acutely infected animals.

conclusionThe human health risk related to B. suis biovar 2 was assessed as low in case of contact with outdoor-reared pigs and negligible for the meat-borne route and contact to indoor raised pigs. Therefore, pig producers and veterinarians should focus on outdoor-raised pig production and react immediately upon presence of relevant symptoms such as enlarged testicles or abortions.

Indexed as

BrucellosisFinishing pigs, meat inspectionHerd healthRisk analysisRisk-based inspection

Identifiers

PMID41250162
PMCPMC12625320

What OpenQuestion holds

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LicenceCC BY
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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.