Evidence map›Paper›PMID 35071378›Full record

ArticleFrontiers in veterinary science2021

The Prevalence of Integument Injuries and Associated Risk Factors Among Canadian Turkeys.

Emily M Leishman, Nienke van Staaveren, Vern R Osborne, Benjamin J Wood, Christine F Baes, Alexandra Harlander-Matauschek

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. 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
0.7field-weighted citation impact, top 37% 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, 6 citations in OpenAlex.

  1. Welfare assessment of turkeys (EFSA journal. European Food Safety Authority · 2026
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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 1 institution in 3 countries.

Emily M LeishmanDepartment of Animal Biosciences, Centre for the Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada.
Nienke van StaaverenDepartment of Animal Biosciences, Centre for the Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada.
Vern R OsborneDepartment of Animal Biosciences, Centre for the Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada.
Benjamin J WoodDepartment of Animal Biosciences, Centre for the Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada.
Christine F BaesDepartment of Animal Biosciences, Centre for the Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada.
Alexandra Harlander-MatauschekDepartment of Animal Biosciences, The Campbell Centre for the Study of Animal Welfare, University of Guelph, Guelph, ON, Canada.
University of Guelph · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Injurious pecking can cause a wide range of damage and is an important welfare and economic issue in turkey production. Aggressive pecking typically targets the head/neck (HN) area, and feather pecking typically targets the back/tail (BT) area; injuries in these separate areas could be used as a proxy for the level of aggressive and feather pecking in a flock. The objective of this study was to identify risk factors for integument injuries in Canadian turkey flocks. A survey containing a questionnaire about housing and management practices and a scoring guide was distributed to 500 turkey farmers across Canada. The farmer scored pecking injuries in two different body areas (HN and BT) on a 0-2 scale on a subset of birds within each flock. Multivariable logistic regression modeling was used to identify factors associated with the presence of HN and BT injuries. The prevalence of birds with integument injuries ranged widely between the flock subsets (HN = 0-40%, BT = 0-97%), however the mean prevalence was low (HN = 6%, BT = 10%). The presence of injuries for logistic regression was defined as flocks with an injury prevalence greater than the median level of injury prevalence in the dataset (3.3% HN and 6.6% BT). The final logistic regression model for HN injuries contained five variables: flock sex, flock age, number of daily inspections, number of different people during inspections, and picking up birds during inspections (N = 62, pR

Indexed as

animal welfareinjurious pecking damagemanagementMeleagris gallopavostockmanshipsurvey

Identifiers

PMID35071378
PMCPMC8777054
OpenAlexW4206576889

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.