Evidence map›Paper›PMID 37614914›Full record

ArticleVeterinary record open2023

Comparison between two scoring methods to assess tail damage of docked pig carcasses during postmortem inspection in Ireland.

Roberta Maria D'Alessio, Conor G McAloon, Laura Ann Boyle, Alison Hanlon, Keelin O'Driscoll

Open access · goldAbstract read
In one paragraph

Article in Veterinary record open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

5 authors at 2 institutions in 1 country.

Roberta Maria D'AlessioDepartment of Pig Development, Teagasc Animal & Grassland Research and Innovation Centre Moorepark, Fermoy, Co. Cork Ireland.ORCID https://orcid.org/0000-0003-0390-514X
Conor G McAloonUCD Veterinary Sciences Centre University College Dublin, Belfield Dublin Ireland.ORCID https://orcid.org/0000-0002-4984-4031
Laura Ann BoyleDepartment of Pig Development, Teagasc Animal & Grassland Research and Innovation Centre Moorepark, Fermoy, Co. Cork Ireland.ORCID https://orcid.org/0000-0001-7080-1776
Alison HanlonUCD Veterinary Sciences Centre University College Dublin, Belfield Dublin Ireland.ORCID https://orcid.org/0000-0002-3778-1790
Keelin O'DriscollDepartment of Pig Development, Teagasc Animal & Grassland Research and Innovation Centre Moorepark, Fermoy, Co. Cork Ireland.ORCID https://orcid.org/0000-0003-0944-3732
University College Dublin · IETeagasc - The Irish Agriculture and Food Development Authority · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tail inspection in the abattoir is a tool to help determine the welfare status of pigs. However, methodologies vary widely. Moreover, meat inspection is moving from palpation and incision towards visual-only (VIS) examination. This study investigated whether a VIS examination was sufficient to detect tail damage compared to handling (HAND), which ensures examination of all aspects of the tail. Method: The severity of tail skin damage (0 [undamaged] - 4 [partial/full loss of tail]) and presence/absence of bruises was scored using both methods after scalding/dehairing of 5498 pig carcasses. Results: There was a good relationship between methods when evaluating tail skin damage (sensitivity, 82.48%; specificity, 99.98%; accuracy, 98.98%; correlation Conclusions: Visual evaluation is a valid alternative to handling evaluation of carcass tail damage and bruising.

Identifiers

PMID37614914
PMCPMC10442492
OpenAlexW4386050756

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.