Evidence map›Paper›PMID 39720540›Full record

ArticleVeterinary record open2024

A study of sheep scab in Northern Ireland including detection and identifying barriers to control.

Paul Crawford, Sharon Verner, Sam Strain, Adewale Henry Adenuga, Aurélie Aubry, Stewart Burgess

Abstract read
In one paragraph

Article in Veterinary record open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Paul CrawfordNorthern Ireland Sheep Scab Group Islandmagee UK.ORCID https://orcid.org/0000-0003-3666-6050
Sharon VernerAnimal Health and Welfare Northern Ireland Dungannon UK.
Sam StrainAnimal Health and Welfare Northern Ireland Dungannon UK.
Adewale Henry AdenugaEconomics Research Branch Agri-Food and Biosciences Institute Belfast UK.
Aurélie AubrySustainable Livestock Systems Branch Agri-Food and Biosciences Institute Hillsbourgh UK.
Stewart BurgessMoredun Research Institute Pentlands Science Park Midlothian Scotland UK.ORCID https://orcid.org/0000-0002-9268-7641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sheep scab, caused by the highly infectious Methods: Through farmers self-reporting suspected outbreaks, on-farm risk assessments and clinical investigations were carried out by the farm's veterinary surgeon, who utilised light microscopy and serological testing to diagnose scab. Treatment was then provided and where macrocyclic lactones (MLs) were utilised, follow-up testing was attempted. Results: Sheep scab was identified in 60 flocks across all six counties of Northern Ireland. Serological testing proved essential in uncovering scab infestation where light microscopy failed to identify mites, or where no suitable lesions existed to scrape. Where MLs were used, follow-up was incomplete. Furthermore, four of six resampled flocks still showed a positive result. Barriers to better scab control included poor quarantine arrangements and preventative treatment strategies that ultimately proved ineffective. Conclusions: The project demonstrated that farmers were willing to engage in control efforts, they appreciated the support provided in managing outbreaks and they recognised the need for a coordinated effort to control scab. Greater awareness of biosecurity is needed among farmers. Facilitation of farmer-driven scab control activities is urgently needed, alongside greater understanding of the scale of the disease and the impact that ML treatment failure can have on scab dissemination through the national Northern Ireland flock.

Identifiers

PMID39720540
PMCPMC11666421

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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.