Evidence map›Paper›PMID 39868606›Full record

ArticleJournal of fish diseases2025

Associations Between Delousing Practices and Pasteurellosis in Farmed Atlantic Salmon.

Leif Christian Stige, Duncan J Colquhoun, Victor H S Oliveira

Abstract read
In one paragraph

Article in Journal of fish diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Virulence factors ofFrontiers in microbiology · 2026
    Article
  2. Article
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.

Leif Christian StigeNorwegian Veterinary Institute, Ås, Norway.ORCID https://orcid.org/0000-0002-6808-1383
Duncan J ColquhounNorwegian Veterinary Institute, Ås, Norway.ORCID https://orcid.org/0000-0002-2737-6716
Victor H S OliveiraNorwegian Veterinary Institute, Ås, Norway.ORCID https://orcid.org/0000-0003-3817-9192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections with bacteria of the genus Pasteurella have increased in occurrence in Atlantic salmon (Salmo salar) farms in Norway since 2018. This increase coincides with increased use of non-medicinal treatments against the parasitic salmon louse, Lepeophtheirus salmonis, in the farms. Here, we analysed the statistical association between the use of non-medicinal delousing methods and pasteurellosis in salmon farming in western Norway, from 2018 to 2023. The analysed data covered 1161 production cycles from 356 farming localities, in which Pasteurella was detected in 166 production cycles from 115 localities. Results showed that in months with one or more thermal delousing using heated water to remove the lice, the odds for detection of Pasteurella were 2.5 times as high as in months with no delousing (95% credible interval, c.i.: 1.8, 3.6). In months with one or more mechanical delousing involving brushing or flushing, the odds were 1.8 times as high as in months with no delousing (c.i.: 1.04, 2.9). Delousing with freshwater was not associated with increased odds for Pasteurella. The odds for Pasteurella increased with increasing salmon weight and following a Pasteurella diagnosis in the previous production cycle. These results indicate that the use of thermal and mechanical delousing may play a role in maintaining the current pasteurellosis situation in western Norway, and that freshwater delousing may be a favourable alternative in this respect.

Indexed as

AquacultureEctoparasitic InfestationsFish DiseasesPasteurella InfectionsSalmo salarAnimalsCopepodaNorwayPasteurellaAtlantic salmon (Salmo salar)Lepeophtheirus salmonisPasteurellasea louse treatment

Identifiers

PMID39868606
PMCPMC11976209

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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.