Evidence map›Paper›PMID 32066637›Full record

ArticleThe Veterinary record2020

Surveying bovine digital dermatitis and non-healing bovine foot lesions for the presence of

Gareth James Staton, Leigh Emma Sullivan, Roger W Blowey, Stuart D Carter, Nicholas James Evans

Open access · hybridAbstract read
In one paragraph

Article in The Veterinary record, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Hoof, Vaginal and Milk Microbiota Alterations in Dairy Cows with Foot Rot.Animals : an open access journal from MDPI · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Presence ofMicroorganisms · 2021
    Article
  12. Article
  13. Article
  14. Evaluation of Immunoprotective Effects ofFrontiers in veterinary science · 2021
    Article
  15. 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

5 authors at 2 institutions in 1 country.

Gareth James StatonInstitute of Infection & Global Health, University of Liverpool, Neston, Cheshire, UK Gareth.Staton@liverpool.ac.uk.ORCID 0000-0003-4100-8597
Leigh Emma SullivanInstitute of Infection & Global Health, University of Liverpool, Neston, Cheshire, UK.
Roger W BloweyWood Veterinary Group, Gloucester, UK.
Stuart D CarterInstitute of Infection & Global Health, University of Liverpool, Neston, Cheshire, UK.
Nicholas James EvansInstitute of Infection & Global Health, University of Liverpool, Neston, Cheshire, UK.
University of Liverpool · GBWildfowl & Wetlands Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-healing bovine foot lesions, including non-healing white line disease, non-healing sole ulcer and toe necrosis, are an increasingly important cause of chronic lameness that are poorly responsive to treatment. Recent studies have demonstrated a high-level association between these non-healing lesions and the

methodsA PCR-based bacteriological survey of uncomplicated BDD lesions (n=10) and non-healing bovine foot lesions (n=10) targeting

results

conclusionThe data from this pilot study suggest that

Indexed as

AnimalsCattleCattle DiseasesDigital DermatitisDNA, BacterialFemaleFusobacterium InfectionsFusobacterium necrophorumPilot ProjectsPolymerase Chain ReactionPorphyromonas endodontalisSyphilisTreponemal InfectionsTreponema pallidumUnited KingdomDNA, Bacterialcattlelamenessmicrobiology

Identifiers

PMID32066637
PMCPMC7279135
OpenAlexW3006422498

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.