Evidence map›Paper›PMID 26199731›Full record

ArticleNew microbes and new infections2015

Serologic and molecular survey for hepatitis E virus in wild boar (Sus scrofa) in Central Italy.

M Mazzei, R Nardini, R Verin, M Forzan, A Poli, F Tolari

Abstract read
In one paragraph

Article in New microbes and new infections, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Genetic Heterogeneity of Hepatitis E Virus (HEV) in Wild Boars in Italy.Animals : an open access journal from MDPI · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. GenitalMicroorganisms · 2021
    Article
  15. Hepatitis E Virus Occurrence in Pigs Slaughtered in Italy.Animals : an open access journal from MDPI · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

M MazzeiDepartment of Veterinary Science, University of Pisa, Pisa, Italy.
R NardiniDepartment of Veterinary Science, University of Pisa, Pisa, Italy.
R VerinDepartment of Veterinary Science, University of Pisa, Pisa, Italy.
M ForzanDepartment of Veterinary Science, University of Pisa, Pisa, Italy.
A PoliDepartment of Veterinary Science, University of Pisa, Pisa, Italy.
F TolariDepartment of Veterinary Science, University of Pisa, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to further investigate the role of wild boar (Sus scrofa) as a reservoir for hepatitis E virus (HEV). Sixty-four blood and faecal samples collected from wild boar hunted in Central Italy in 2011-2012 were examined by indirect enzyme-linked immunosorbent assay and RT-PCR analysis. Positive RT-PCR samples were further examined by nucleotide sequence determination and subsequent phylogenetic analysis. Thirty-six sera (56.2%) were positive for HEV-specific antibodies, and six (9.4%) faecal samples scored RT-PCR-positive results. Four animals were positive by both enzyme-linked immunosorbent assay and RT-PCR. Phylogenetic analysis showed that the detected wild boar-derived HEV sequences clustered within genotype 3, with similarity to sequences of human origin collected in a nearby area in 2012. Our data confirm that HEV is endemic in the wild boar population in the research area and that these wild animals could play an important role in the epidemiology of HEV infection.

Indexed as

Disease transmissiongenetic diversityhepatitis E virusItalySus scrofazoonoses

Identifiers

PMID26199731
PMCPMC4506981

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Registered trials

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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.