Evidence map›Paper›PMID 35852211›Full record

ReviewJoint diseases and related surgery2022

The dark side of the animal experiments.

Elif Akkaya, Harun Reşit Güngör

Abstract readReview
In one paragraph

Review in Joint diseases and related surgery, 2022. 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. Review
  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

2 authors.

Elif Akkaya
Harun Reşit GüngörPamukkale Üniversitesi Tıp Fakültesi Ortopedi ve Travmatoloji Anabilim Dalı, 20160 Kınıklı, Denizli, Türkiye. hrgungor@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of animals in research has increasingly continued, although there are serious concerns about appropriate methodology, moral issues and translation to clinical practice. The aim of the present article is to review the insufficiency of statements in ethical approvals to obtain animal welfare in real life practices and to draw attention to the need for an additional evidence-based audit system. In many countries, local Animal Ethics Committees are established to ensure that animals are treated in accordance with 3Rs (Replace, Reduce, Refine) principles. Although the ethical approval certificate which is taken before the start of research is considered as the proof of animal welfare, footages released from all over the world reveal the maltreatment. However, due to the scientific resource provided by animal models, it does not seem possible to expect animal experiments to be terminated in the near future. Addition of previously suggested welfare section to methods of study or including the ethical approval certificate does not seem to be sufficient practices to guarantee the animal welfare, since they are not based on audited evidence. The welfare certificate, in which the welfare is supervised by independent auditors, would serve as a proof of both the wellbeing of subjects and consequently the scientific reliability of data. Application of review and publication priority for the animal researches which have the welfare certificate in addition to the ethical approval would encourage the researchers to obtain this certificate. The achievement of worldwide consensus about content, requirements, and application methods of the welfare certificate should be in the scope of scientists in the near future to reach the more humane and more qualified animal experiments.

Indexed as

Animal ExperimentationAnimalsAnimal WelfareConsensusHumansReproducibility of Results

Identifiers

PMID35852211
PMCPMC9361100

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.