Evidence map›Paper›PMID 40150408›Full record

ReviewAnimals : an open access journal from MDPI2025

Pain in Dairy Cattle: A Narrative Review of the Need for Pain Control, Industry Practices and Stakeholder Expectations, and Opportunities.

Steven Roche, Julia Saraceni, Laura Zehr, David Renaud

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2025. 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
–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

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.

  1. Article
  2. Article
  3. Article
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

4 authors.

Steven RocheACER Consulting, Guelph, ON N1G 5L3, Canada.ORCID 0000-0001-6934-6497
Julia SaraceniACER Consulting, Guelph, ON N1G 5L3, Canada.ORCID 0000-0002-3661-6312
Laura ZehrACER Consulting, Guelph, ON N1G 5L3, Canada.
David RenaudACER Consulting, Guelph, ON N1G 5L3, Canada.ORCID 0000-0002-3439-3987

Funding

Solvet AVL-2025-01
6 · The paper itself

Abstract

Pain is an adverse experience causing distress and decreased production in dairy cattle. Pain, and its associated distress, is also undesirable from an animal welfare standpoint. Consumers consider animal welfare an important issue; therefore, ensuring proper pain management, and by extension good welfare, is important to maintain the social acceptability of dairy production. However, while some painful procedures and diseases can be avoided, some are inevitable. When this is the case, it is important to provide pain mitigation where possible. Various dairy quality assurance programs provide guidance on pain management practices for producers; however, guidelines differ across countries and jurisdictions. This narrative review covers common painful conditions and procedures, including disbudding and dehorning, castration, calving and dystocia, surgeries, disease conditions, and lameness. Further, this paper reviews evidence of the necessity and efficacy of pain management in these cases, current uptake of pain management, and quality assurance program standards for addressing pain in dairy cattle. Overall, there are clear advantages to providing pain mitigation for some conditions and procedures. For others, gaps still exist in understanding the best methods for pain control. Further attention should be paid to understanding and reducing the barriers to adoption of pain management strategies, as it is crucial to minimizing pain in animals and ensuring productive and sustainable dairy production.

Indexed as

analgesiaanesthesiabovinecattlepainruminant

Identifiers

PMID40150408
PMCPMC11939162

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.