Evidence map›Paper›PMID 32839384›Full record

ArticleAnimals : an open access journal from MDPI2020

Prevalence of Bovine Tuberculosis in Slaughtered Cattle in Sicily, Southern Italy.

Jessica M Abbate, Francesca Arfuso, Carmelo Iaria, Giuseppe Arestia, Giovanni Lanteri

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 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Analysis ofItalian journal of food safety · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Survey ofAnimals : an open access journal from MDPI · 2024
    Article
  9. An ELISA test using a circulatingFrontiers in veterinary science · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
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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 1 institution in 1 country.

Jessica M AbbateDepartment of Veterinary Science, University of Messina, Polo Universitario Annunziata, 98168 Messina, Italy.ORCID 0000-0003-4532-9697
Francesca ArfusoDepartment of Veterinary Science, University of Messina, Polo Universitario Annunziata, 98168 Messina, Italy.
Carmelo IariaDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Polo Universitario Papardo, 98166 Messina, Italy.ORCID 0000-0001-7930-8881
Giuseppe ArestiaVeterinary Service of Hygiene of Farms and Zootechnical Productions, ASP 7, 97100 Ragusa, Italy.
Giovanni LanteriDepartment of Veterinary Science, University of Messina, Polo Universitario Annunziata, 98168 Messina, Italy.ORCID 0000-0002-3436-2814
University of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-mortem inspection in slaughterhouses plays a key role in the epidemiological surveillance of infectious diseases, including bTB. This study assessed the prevalence of bTB in cattle in Sicily during two different three-year periods (2010-2012; 2017-2019), using data from meat inspections and histopathological methods. Out of 100,196 cattle, 5221 (5.21%) were diagnosed with tuberculous lesions. Higher prevalence of bTB was recorded during the triennium 2010-2012 (6.74%;

Indexed as

Bovine tuberculosiscattlehistopathologymeat-inspectionSicilyslaughterhouse surveillance

Identifiers

PMID32839384
PMCPMC7552133
OpenAlexW3080519212

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.