Evidence map›Paper›PMID 32526900›Full record

ArticleAnimals : an open access journal from MDPI2020

Legal and Ethical Aspects of 'Best Interests' Decision-Making for Medical Treatment of Companion Animals in the UK.

Carol Gray, Peter Fordyce

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. 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

2 authors at 2 institutions in 1 country.

Carol GraySchool of Law and Social Justice, University of Liverpool, Liverpool L69 7ZR, UK.ORCID 0000-0002-1800-4574
Peter FordyceDepartment of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK.
University of Cambridge · GBUniversity of Liverpool · GB

Funding

Economic and Social Research Council ES/T009136/1
6 · The paper itself

Abstract

Medical decisions for young children are made by those with parental responsibility, with legal involvement only if the decision is potentially detrimental to the child's welfare. While legally classified as property, some argue that animals are in a similar position to children; treatment decisions are made by their owners, posing a legal challenge only if the proposed treatment has the potential to cause harm or unnecessary suffering, as defined by animal protection legislation. This paper formulates the approach to a 'best interests' calculation, utilising the factors included in the United Nations Convention on the Rights of the Child and relying on exchange of information between the human parties involved. Although this form of decision-making must primarily protect the animal from unnecessary suffering, it recognises that the information provided by the owner is critical in articulating the animal's non-medical interests, and hence in formulating what is in the animal's best overall welfare interests. While statute law does not mandate consideration of 'best interests' for animals, this approach might reasonably be expected as a professional imperative for veterinary surgeons. Importantly, this version of a 'best interests' calculation can be incorporated into existing ethical frameworks for medical decision-making and the humane treatment of animals.

Indexed as

best interestscompanion animalsveterinary treatment

Identifiers

PMID32526900
PMCPMC7341271
OpenAlexW3034988267

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.