Evidence map›Paper›PMID 38510423›Full record

ArticleAnimal welfare (South Mimms, England)2024

Use of an expert elicitation methodology to compare welfare impacts of two approaches for blood sampling European badgers (

Adrian Colloff, Sandra E Baker, Ngaio J Beausoleil, Trudy Sharp, Huw Golledge, Julie Lane, Ruth Cox, Michal Siwonia, Richard Delahay

Open access · diamondAbstract read
In one paragraph

Article in Animal welfare (South Mimms, England), 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
1.9field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 5 institutions in 3 countries.

Adrian ColloffNational Wildlife Management Centre, Animal and Plant Health Agency, Sand Hutton, York, YO41 1LZ, UK.ORCID https://orcid.org/0000-0001-5670-5331
Sandra E BakerUniversity of Oxford, Department of Biology, Oxford, Oxfordshire, UK.ORCID https://orcid.org/0000-0002-5212-0691
Ngaio J BeausoleilAnimal Welfare Science and Bioethics Centre, School of Veterinary Science, Massey University, Palmerston North, New Zealand.ORCID https://orcid.org/0000-0003-4592-0460
Trudy SharpVertebrate Pest Research Unit, NSW Department of Primary Industries, Orange Agricultural Institute, Orange, NSW, Australia.ORCID https://orcid.org/0000-0003-1160-470X
Huw GolledgeUniversities Federation for Animal Welfare, The Old School, Brewhouse Hill, Wheathampstead, AL4 8AN, UK.ORCID https://orcid.org/0000-0002-2321-7929
Julie LaneNational Wildlife Management Centre, Animal and Plant Health Agency, Sand Hutton, York, YO41 1LZ, UK.
Ruth CoxNational Wildlife Management Centre, Animal and Plant Health Agency, Sand Hutton, York, YO41 1LZ, UK.ORCID https://orcid.org/0000-0002-9298-438X
Michal SiwoniaAnimal and Plant Health Agency Field Services, Ty Merlin, Heol Glasdwr, Parc Pensarn, Carmarthen, SA31 2NJ, UK.
Richard DelahayNational Wildlife Management Centre, Animal and Plant Health Agency, Sand Hutton, York, YO41 1LZ, UK.ORCID https://orcid.org/0000-0001-5863-0820
Animal and Plant Health Agency · GBMassey University · NZNew South Wales Department of Primary Industries · AUUniversities Federation for Animal Welfare · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the UK and Republic of Ireland, the European badger (

Indexed as

animal welfarebadgersblood samplingexpert opinionFive Domains modelwildlife health surveillance

Identifiers

PMID38510423
PMCPMC10951670
OpenAlexW4392872499

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.