Evidence map›Paper›PMID 37234071›Full record

ArticleFrontiers in veterinary science2023

Can we use meat inspection data for animal health and welfare surveillance?

Arianna Comin, Anita Jonasson, Ulrika Rockström, Arja Helena Kautto, Linda Keeling, Ann-Kristin Nyman, Ann Lindberg, Jenny Frössling

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Arianna CominDepartment of Epidemiology and Disease Control, Swedish National Veterinary Institute, Uppsala, Sweden.
Anita JonassonFarm and Animal Health, Uppsala, Sweden.
Ulrika RockströmFarm and Animal Health, Uppsala, Sweden.
Arja Helena KauttoDepartment of Biomedicine and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Linda KeelingDepartment of Animal Environment and Health, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Ann-Kristin NymanVäxa, Department of Research and Development, Stockholm, Sweden.
Ann LindbergDepartment of Epidemiology and Disease Control, Swedish National Veterinary Institute, Uppsala, Sweden.
Jenny FrösslingDepartment of Epidemiology and Disease Control, Swedish National Veterinary Institute, Uppsala, Sweden.
Swedish University of Agricultural Sciences · SESwedish Veterinary Agency · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ante- and post-mortem inspections at abattoir were originally introduced to provide assurance that animal carcasses were fit for human consumption. However, findings at meat inspection can also represent a valuable source of information for animal health and welfare surveillance. Yet, before making secondary use of meat inspection data, it is important to assess that the same post-mortem findings get registered in a consistent way among official meat inspectors across abattoirs, so that the results are as much independent as possible from the abattoir where the inspection is performed. The most frequent findings at official meat inspections of pigs and beef cattle in Sweden were evaluated by means of variance partitioning to quantify the amount of variation in the probabilities of these findings due to abattoir and farm levels. Seven years of data (2012-2018) from 19 abattoirs were included in the study. The results showed that there was a very low variation between abattoirs for presence of liver parasites and abscesses, moderately low variation for pneumonia and greatest variation for injuries and nonspecific findings (e.g.,

Indexed as

animal health surveillancebeef cattlefinishing pigslesionsmeat inspectionvariance partitioning analysis

Identifiers

PMID37234071
PMCPMC10205995
OpenAlexW4378349575

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.