Evidence map›Paper›PMID 38840635›Full record

ArticleFrontiers in veterinary science2024

Multi-dimensional evaluation of pain response in low day-age calves to two types of dehorning.

Weiguo Cui, Mengyu Liu, Tianyu Gu, Shuai Zhao, Guoan Yin

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In one paragraph

Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  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.

Weiguo Cui *College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China.
Mengyu Liu *College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China.
Tianyu GuCollege of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China.
Shuai ZhaoCollege of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China.
Guoan YinCollege of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dehorning calves is necessary to minimize injury because intensive raising circumstances make horned cows more aggressive. However, acute pain is commonly perceived by farm animals when undergoing painful practices such as dehorning, affecting their health status and quality of life. By quantifying the magnitude of pain and discomfort associated with dehorning, we aim to contribute to a more humane and sustainable cattle farming industry. Methods: The objective of this study was to evaluate the behavioral, physiological, and emotional effects of acute dehorning pain in calves using two methods: dehorning cream and dehorning hot-iron.30 Holstein calves aged 4 days were selected for the study. These calves were randomly assigned to two experimental groups based on the method of disbudding: dehorning cream ( Results: Post-dehorning, the duration of lying down decreased significantly in both groups (DI and DC: 0-4 h) after dehorning ( Discussion: Both hot-iron and cream dehorning induced pain in calves, as evidenced by increased pain-related behaviors, elevated salivary cortisol, and higher haptoglobin levels, alongside reduced positive behaviors. Notably, these effects were more pronounced in the DC group than in the DI group, suggesting that dehorning hot-iron may be a comparatively less stressful dehorning method for young calves. Moreover, the brief duration of pain response and weaker response to dehorning observed in 13-day-age calves in this study suggests that dehorning at younger ages may be more advisable and warrants further research.

Indexed as

acute painanimal welfareautonomic responsedehorning creamdehorning hot-iron

Identifiers

PMID38840635
PMCPMC11150829

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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.