Evidence map›Paper›PMID 40905007›Full record

ArticleFrontiers in veterinary science2025

Detection of pathogens in dogs with respiratory disease during winter 2023-2024 using multiplex qPCR/RT-qPCR assays and next-generation sequencing.

Côme J Thieulent, Melissa Laverack, Mariano Carossino, Brittany Cronk, Leonardo Cardia Caserta, Diego G Diel, Udeni B R Balasuriya

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Côme J ThieulentDepartment of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, United States.
Melissa LaverackDepartment of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States.
Mariano CarossinoDepartment of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, United States.
Brittany CronkDepartment of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States.
Leonardo Cardia CasertaDepartment of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States.
Diego G DielDepartment of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, United States.
Udeni B R BalasuriyaDepartment of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canine Infectious Respiratory Disease Complex (CIRDC), caused by a diverse range of viral and bacterial pathogens, is the leading cause of respiratory illness in dogs. In the winter of 2023-2024, the United States experienced a noticeable increase in cases consistent with CIRDC. This study investigated the potential association of emerging pathogens with CIRDC cases. It involved the analysis of 50 clinical specimens collected from CIRDC-suspected dogs from six US states between December 2023 and February 2024. All clinical cases presented with respiratory illness characterized mainly by coughing (78%), nasal and ocular discharges (30%), and sneezing (22%). Specimens were tested for 12 known CIRDC-associated pathogens using a previously described panel of one-step TaqMan

Indexed as

canine infectious respiratory disease complexcanine respiratory pathogensCIRDCnext-generation sequencingqPCRRT-qPCRvientovirus

Identifiers

PMID40905007
PMCPMC12402941

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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.