Evidence map›Paper›PMID 34215759›Full record

ArticleScientific reports2021

Modelling the links between farm characteristics, respiratory health and pig production traits.

H Gray, M Friel, C Goold, R P Smith, S M Williamson, L M Collins

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

5 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

6 authors at 3 institutions in 1 country.

H GraySchool of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK.
M FrielSchool of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK.
C GooldSchool of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK.
R P SmithAnimal and Plant Health Agency (APHA), Weybridge, UK.
S M WilliamsonAPHA, Rougham Hill, Bury St Edmunds, Suffolk, UK.
L M CollinsSchool of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK. l.collins@leeds.ac.uk.
University of Leeds · GBAnimal and Plant Health Agency · GBWest Suffolk College · GB

Funding

Biotechnology and Biological Sciences Research Council BB/N020790/1
6 · The paper itself

Abstract

Sustainable livestock production requires links between farm characteristics, animal performance and animal health to be recognised and understood. In the pig industry, respiratory disease is prevalent, and has negative health, welfare and economic consequences. We used national-level carcass inspection data from the Food Standards Agency to identify associations between pig respiratory disease, farm characteristics (housing type and number of source farms), and pig performance (mortality, average daily weight gain, back fat and carcass weight) from 49 all in/all out grow-to-finish farms. We took a confirmatory approach by pre-registering our hypotheses and used Bayesian multi-level modelling to quantify the uncertainty in our estimates. The study findings showed that acquiring growing pigs from multiple sources was associated with higher respiratory condition prevalence. Higher prevalence of respiratory conditions was linked with higher mortality, and lower average daily weight gain, back fat and pig carcass weight. Our results support previous literature using a range of data sources. In conclusion, we find that meat inspection data are more valuable at a finer resolution than has been previously indicated and could be a useful tool in monitoring batch-level pig health in the future.

Indexed as

Animal WelfareAnimal HusbandryAnimalsBayes TheoremFarmsRespiratory Tract DiseasesSwineSwine DiseasesWeight Gain

Identifiers

PMID34215759
PMCPMC8253804
OpenAlexW3174840912

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.