Evidence map›Paper›PMID 41240284›Full record

ArticleVeterinary research communications2025

Molecular detection of Cryptosporidium spp. in semi-intensive pig production systems in the state of São Paulo, Brazil.

Isabela Garcia Machi, Michel Dos Santos Pinto, Alex Akira Nakamura, Marcelo Vasconcelos Meireles

Abstract read
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In one paragraph

Article in Veterinary research communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Isabela Garcia MachiSchool of Veterinary Medicine, São Paulo State University (UNESP), Araçatuba, Brazil.ORCID http://orcid.org/0009-0005-1517-3902
Michel Dos Santos PintoSchool of Veterinary Medicine, São Paulo State University (UNESP), Araçatuba, Brazil. ms.pinto@unesp.br.ORCID http://orcid.org/0000-0002-6146-9553
Alex Akira NakamuraSchool of Veterinary Medicine, São Paulo State University (UNESP), Araçatuba, Brazil.ORCID http://orcid.org/0000-0002-5114-3234
Marcelo Vasconcelos MeirelesSchool of Veterinary Medicine, São Paulo State University (UNESP), Araçatuba, Brazil.ORCID http://orcid.org/0000-0003-0063-5172

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001
6 · The paper itself

Abstract

Considering the importance of pigs acting as a source of infection for zoonotic protozoan species, this study aimed to investigate the prevalence and perform the molecular characterization of Cryptosporidium spp. in pigs raised in semi-intensive production systems in the municipality of Araçatuba, state of São Paulo, Brazil. Two hundred fecal samples from pigs raised in four farms were collected between March and August 2018. Detection and speciation of Cryptosporidium spp. were performed by nested PCR of small subunit ribosomal RNA (18 S rRNA) gene followed by Sanger sequencing. The chi-square statistical test was performed to verify the association between positivity and negativity for Cryptosporidium spp. with the age of the pigs. Cryptosporidium spp. were identified in 34/200 (17%) samples. Sequencing of amplified fragments identified Cryptosporidium scrofarum in ten samples. No statistical significance was observed between the positivity and age of the animals. The presence of C. scrofarum, a potentially zoonotic protozoan, was confirmed in domestic pigs for the first time in the state of São Paulo, Brazil.

Indexed as

CryptosporidiosisCryptosporidiumSwine DiseasesAnimal HusbandryAnimalsBrazilFecesPolymerase Chain ReactionPrevalenceSwineCryptosporidiosisEpidemiologyProtozoanSus scrofa domesticus

Identifiers

What OpenQuestion holds

Textmetadata
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.