Evidence map›Paper›PMID 29959518›Full record

ArticleParasitology research2018

Molecular detection of Cryptosporidium spp. and the occurrence of intestinal parasites in fecal samples of naturally infected dogs and cats.

Marta Elena Machado Alves, Felippe Danyel Cardoso Martins, Patrícia Bräunig, Felipe Lamberti Pivoto, Luís Antonio Sangioni, Fernanda Silveira Flores Vogel

Abstract read
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Article in Parasitology research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Animals : an open access journal from MDPI · 2024
    Review
  5. Evidence of the Zoonotic Transmission ofPathogens (Basel, Switzerland) · 2023
    Article
  6. An Epidemiological Assessment ofAnimals : an open access journal from MDPI · 2023
    Article
  7. Article
  8. Current research in parasitology & vector-borne diseases · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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.

Marta Elena Machado AlvesLaboratório de Doenças Parasitárias (LADOPAR), Departamento de Medicina Veterinária Preventiva (DMVP), Centro de Ciências Rurais (CCR), Universidade Federal de Santa Maria (UFSM), Av. Roraima, no. 1000, Prédio 44, Sala 5149, Bairro Camobi, Santa Maria, RS, 97105-900, Brazil. marta.elenamachado@gmail.com.ORCID http://orcid.org/0000-0001-8312-1622
Felippe Danyel Cardoso MartinsLaboratório de Protozoologia, Centro de Ciências Agrárias (CCA), Universidade Estadual de Londrina (UEL), Rodovia Celso Garcia Cid, PR445, KM388, Londrina, PR, 86057-970, Brazil.
Patrícia BräunigLaboratório de Doenças Parasitárias (LADOPAR), Departamento de Medicina Veterinária Preventiva (DMVP), Centro de Ciências Rurais (CCR), Universidade Federal de Santa Maria (UFSM), Av. Roraima, no. 1000, Prédio 44, Sala 5149, Bairro Camobi, Santa Maria, RS, 97105-900, Brazil.
Felipe Lamberti PivotoLaboratório de Doenças Parasitárias (LADOPAR), Departamento de Medicina Veterinária Preventiva (DMVP), Centro de Ciências Rurais (CCR), Universidade Federal de Santa Maria (UFSM), Av. Roraima, no. 1000, Prédio 44, Sala 5149, Bairro Camobi, Santa Maria, RS, 97105-900, Brazil.
Luís Antonio SangioniLaboratório de Doenças Parasitárias (LADOPAR), Departamento de Medicina Veterinária Preventiva (DMVP), Centro de Ciências Rurais (CCR), Universidade Federal de Santa Maria (UFSM), Av. Roraima, no. 1000, Prédio 44, Sala 5149, Bairro Camobi, Santa Maria, RS, 97105-900, Brazil.
Fernanda Silveira Flores VogelLaboratório de Doenças Parasitárias (LADOPAR), Departamento de Medicina Veterinária Preventiva (DMVP), Centro de Ciências Rurais (CCR), Universidade Federal de Santa Maria (UFSM), Av. Roraima, no. 1000, Prédio 44, Sala 5149, Bairro Camobi, Santa Maria, RS, 97105-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cats and dogs are hosts of a large number of gastrointestinal parasites and can shed helminth eggs and protozoan oocysts in their feces. The close relationship between companion animals and humans intensifies human exposure to zoonosis caused by parasites. In this study, 177 fecal samples were collected: 128 from dogs and 49 from cats of both sexes and varied ages. One or more intestinal parasites were observed in 56.2% (72/128) of the dog fecal samples and in 53.0% (26/49) of the cat fecal samples. Parasitic monoinfection was present in 70.8% (51/72) of dog samples and in 46.1% (12/26) of cat samples, whereas multi-infection was observed in 29.2% (21/72) and 53.8% (14/26) of dog and cat samples, respectively. The detection frequency of Cryptosporidium spp. was 22.6% (40/177) using Ziehl-Neelsen staining. DNA was extracted from all samples and the Cryptosporidium small subunit ribosomal ribonucleic acid (SSU rRNA) gene was amplified from 5.6% (10/177) of the fecal samples using nested polymerase chain reaction (PCR). Amplification was achieved in 4.6% (6/128) of the dog samples and in 8.2% (4/49) of the cat samples. DNA sequencing of the nested PCR positive samples identified Cryptosporidium canis in 66.6% (4/6) and Cryptosporidium parvum in 33.3% (2/6) of the dog samples and Cryptosporidium felis in 75% (3/4) and Cryptosporidium parvum in 25% (1/4) in the cat samples. The present study thus demonstrated significant levels of gastrointestinal parasite infection in companion animals and highlighted the presence of zoonosis agents.

Indexed as

AnimalsCat DiseasesCatsCryptosporidiosisCryptosporidiumDog DiseasesDogsFecesFemaleHumansIntestinal Diseases, ParasiticMaleMolecular Diagnostic TechniquesOocystsPolymerase Chain ReactionSequence Analysis, DNADNA sequencingHelminthsNested PCRProtozoaZoonosis

Identifiers

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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.