Evidence map›Paper›PMID 39147982›Full record

ArticleArchives of virology2024

Spectrum detection and analysis of the epidemiological characteristics of infectious pathogens in the feline respiratory tract.

Houbin Ju, Dequan Yang, Jizexiao Jin, Jian Wang, Xin Li, Xianchao Yang, Jie Ge, Jiuchao Zhu, Haixiao Shen, Jun Lu and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of virology, 2024. 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. Article
  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

14 authors.

Houbin Ju *Shanghai Animal Disease Control Center, Shanghai, 20103, China.
Dequan Yang *Shanghai Animal Disease Control Center, Shanghai, 20103, China.
Jizexiao JinNanjing Agricultural University College of Veterinary Medicine, Nanjing, 210095, China.
Jian WangShanghai Animal Disease Control Center, Shanghai, 20103, China.
Xin LiShanghai Animal Disease Control Center, Shanghai, 20103, China.
Xianchao YangShanghai Animal Disease Control Center, Shanghai, 20103, China.
Jie GeShanghai Animal Disease Control Center, Shanghai, 20103, China.
Jiuchao ZhuShanghai Animal Disease Control Center, Shanghai, 20103, China.
Haixiao ShenShanghai Animal Disease Control Center, Shanghai, 20103, China.
Jun LuShanghai Animal Disease Control Center, Shanghai, 20103, China.
Xiujuan WuShanghai Animal Disease Control Center, Shanghai, 20103, China.
Xiaoxu WangShanghai Animal Disease Control Center, Shanghai, 20103, China.
Yanting TangShanghai Animal Disease Control Center, Shanghai, 20103, China.
Qi ChenShanghai Animal Disease Control Center, Shanghai, 20103, China. sh_vet@126.com.ORCID http://orcid.org/0009-0005-1938-917X

Funding

Hubei Agricultural Science and Technology Innovation Center 2021-02-08-00-12-F00772
6 · The paper itself

Abstract

Our study was designed to investigate the original spectrum of feline respiratory tract infection and to provide a scientific basis for the clinical diagnosis and treatment of feline respiratory infections and for precise prevention and control measures. A total of 400 cats with upper respiratory tract infections from animal hospitals in 12 provinces in China were examined from November 2022 to October 2023 to investigate the epidemiology of feline calicivirus (FCV), feline herpes virus type 1 (FHV-1), influenza A virus (IAV), Mycoplasma felis, Chlamydia felis, and Bordetella bronchiseptica through loop-mediated isothermal amplification (LAMP) with microfluidic chip detection. The results showed that 396 of the 400 samples tested were positive for at least one of these pathogens, with an overall detection rate of 99.00%. The detection rates were as follows: FCV, 36.00% (144/400); M. felis, 34.00% (136/400); FHV-1, 21.50% (86/400); C. felis, 15.75% (63/400); B. b, 13.00% (52/400); IAV, 4.50% (18/400). There were no statistically significant differences in the detection rates of respiratory pathogens between different sexes, ages, seasons, breeds, or regions (P > 0.05). There were 88 mixed infections, giving a total mixed infection rate of 22.00% (88/400). It is worth noting that the detection rate of FCV at different ages and of FHV-1 in different sexes showed significant differences (P < 0.05). The highest rate of FCV infection was found in animals that were 1 to 2 years old, and the rate of FHV-1 infection in male cats was higher than that in female cats. The results showed that the spectrum of feline respiratory pathogens is complex, with diverse epidemiological characteristics and mixed infections, and some differences among different respiratory pathogens were found with regard to the sex, age, and breed of the cat. Studies should be continued to provide a scientific basis for precise prevention and control of feline respiratory diseases.

Indexed as

Cat DiseasesNucleic Acid Amplification TechniquesRespiratory Tract InfectionsAnimalsBordetella bronchisepticaCalicivirus, FelineCatsChinaChlamydiaFemaleInfluenza A virusMaleMolecular Diagnostic TechniquesMycoplasmaRespiratory SystemVaricellovirus

Identifiers

PMID39147982

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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.