Evidence map›Paper›PMID 24980809›Full record

ArticleVeterinary journal (London, England : 1997)2014

Detection of respiratory viruses and Bordetella bronchiseptica in dogs with acute respiratory tract infections.

B S Schulz, S Kurz, K Weber, H-J Balzer, K Hartmann

Abstract read
In one paragraph

Article in Veterinary journal (London, England : 1997), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

52 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
  2. Article
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  4. Genomic detection and phylogenetic analysis of Bordetella bronchiseptica in dogs blood samples by PCR method in West Azerbaijan Province, Iran.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  5. Genomic detection and phylogenetic analysis of Bordetella bronchiseptica in dogs blood samples by PCR method in West Azerbaijan Province, Iran.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  6. Article
  7. Review
  8. Molecular and serological incidences ofOpen veterinary journal · 2025
    Article
  9. One year duration of immunity of a combinationFrontiers in veterinary science · 2025
    Article
  10. Article
  11. Article
  12. Risk factors for canine infectious respiratory disease complex and the pathogens associated with the disease.The Canadian veterinary journal = La revue veterinaire canadienne · 2024
    Article
  13. Article
  14. Article
  15. Predominance of Canine Parainfluenza Virus andPathogens (Basel, Switzerland) · 2023
    Article
  16. Clinical microbiology reviews · 2023
    Review
  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

5 authors at 2 institutions in 1 country.

B S SchulzClinic of Small Animal Medicine, Ludwig Maximilian University Munich, Veterinaerstr. 13, 80539 Munich, Germany. Electronic address: B.Schulz@medizinische-kleintierklinik.de.
S KurzClinic of Small Animal Medicine, Ludwig Maximilian University Munich, Veterinaerstr. 13, 80539 Munich, Germany.
K WeberClinic of Small Animal Medicine, Ludwig Maximilian University Munich, Veterinaerstr. 13, 80539 Munich, Germany.
H-J BalzerVet Med Labor GmbH, Division of IDEXX Laboratories, Moerikestr. 28/3, 71636 Ludwigsburg, Germany.
K HartmannClinic of Small Animal Medicine, Ludwig Maximilian University Munich, Veterinaerstr. 13, 80539 Munich, Germany.
Ludwig-Maximilians-Universität München · DEIDEXX Laboratories (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canine infectious respiratory disease (CIRD) is an acute, highly contagious disease complex caused by a variety of infectious agents. At present, the role of viral and bacterial components as primary or secondary pathogens in CIRD is not fully understood. The aim of this study was to investigate the prevalence of canine parainfluenza virus (CPIV), canine adenovirus type 2 (CAV-2), canine influenza virus (CIV), canine respiratory coronavirus (CRCoV), canine herpes virus-1 (CHV-1), canine distemper virus (CDV) and Bordetella bronchiseptica in dogs with CIRD and to compare the data with findings in healthy dogs. Sixty-one dogs with CIRD and 90 clinically healthy dogs from Southern Germany were prospectively enrolled in this study. Nasal and pharyngeal swabs were collected from all dogs and were analysed for CPIV, CAV-2, CIV, CRCoV, CHV-1, CDV, and B. bronchiseptica by real-time PCR. In dogs with acute respiratory signs, 37.7% tested positive for CPIV, 9.8% for CRCoV and 78.7% for B. bronchiseptica. Co-infections with more than one agent were detected in 47.9% of B. bronchiseptica-positive, 82.6% of CPIV-positive, and 100% of CRCoV-positive dogs. In clinically healthy dogs, 1.1% tested positive for CAV-2, 7.8% for CPIV and 45.6% for B. bronchiseptica. CPIV and B. bronchiseptica were detected significantly more often in dogs with CIRD than in clinically healthy dogs (P < 0.001 for each pathogen) and were the most common infectious agents in dogs with CIRD in Southern Germany. Mixed infections with several pathogens were common. In conclusion, clinically healthy dogs can carry respiratory pathogens and could act as sources of infection for susceptible dogs.

Indexed as

AnimalsBordetella bronchisepticaBordetella InfectionsCoinfectionDog DiseasesDogsFemaleGermanyMalePrevalenceReal-Time Polymerase Chain ReactionRespiratory Tract InfectionsVirus DiseasesVirusesCanineKennel coughPCRRespiratory diseaseTracheobronchitis

Identifiers

PMID24980809
PMCPMC7110455
OpenAlexW2031796405

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.