Evidence map›Paper›PMID 16550433›Full record

ArticleParasitology research2006

Molecular evidence for Cryptosporidium infection in dogs in Central Italy.

Annunziata Giangaspero, Raffaella Iorio, Barbara Paoletti, Donato Traversa, Gioia Capelli

Abstract read
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In one paragraph

Article in Parasitology research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 62 citations in OpenAlex.

  1. Prevalence and molecular characterization ofFood and waterborne parasitology · 2025
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  2. Meta-analysis of canine cryptosporidiosis in Africa and prevalence of clinical infection in Oyo, Ogun, and Kwara states, Nigeria.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2025
    Review
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  6. Molecular Detection and Distribution ofTransboundary and emerging diseases · 2023
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  7. Current research in parasitology & vector-borne diseases · 2023
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  14. Article
  15. Molecular Characterization ofJournal of tropical medicine · 2016
    Article
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  17. Article
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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 3 institutions in 1 country.

Annunziata GiangasperoDepartment of Production Science, Engineering, Mechanics and Economy, Faculty of Agriculture, University of Foggia, Foggia, Italy. a.giangaspero@unifg.it
Raffaella Iorio
Barbara Paoletti
Donato Traversa
Gioia Capelli
University of Teramo · ITIstituto Zooprofilattico Sperimentale delle Venezie · ITUniversity of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two hundred and forty kennel and privately owned dogs were tested for a molecular epidemiological study on Cryptosporidium infection. Genomic DNA was extracted from individual faecal samples. All the DNA extracts were analysed with a PCR assay specific for a approximately 400-bp fragment internal to the gene encoding for the Cryptosporidium oocyst wall protein. The prevalence was 3.3% and it was higher in kennel dogs and in dogs with gastrointestinal symptoms. Cryptosporidium parvum was detected by sequencing analysis in six kennel dogs and one privately owned dog, and Cryptosporidium canis was detected in one kennel dog. This is the first investigation on the prevalence of Cryptosporidium in Italian dogs and has pointed to the existence of genotypes that may be of public health significance.

Indexed as

AnimalsCryptosporidiosisCryptosporidiumDNA, ProtozoanDog DiseasesDogsFecesItalyPolymerase Chain ReactionPrevalenceProtozoan ProteinsSequence Analysis, DNADNA, Protozoanoocyst wall protein, CryptosporidiumProtozoan Proteins

Identifiers

PMID16550433
OpenAlexW1997943894

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.