Evidence map›Paper›PMID 36050691›Full record

ArticleBMC veterinary research2022

Seroprevalence and risk factors of Toxoplasma gondii in urban cats from China.

Ningbo Xia, Nuo Ji, Longjiao Li, Yuan Huang, Congshan Yang, Xuefang Guo, Qinghong Guo, Bang Shen, Lihua Xiao, Yaoyu Feng

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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  9. Serological and molecular survey ofFrontiers in veterinary science · 2024
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  10. Article
  11. Application ofFrontiers in cellular and infection microbiology · 2022
    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

10 authors at 4 institutions in 1 country.

Ningbo Xia *Guangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
Nuo Ji *Guangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
Longjiao Li *Chongqing Three Gorges Vocational College, Chongqing, 404155, China.
Yuan HuangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, 430070, Wuhan, China.
Congshan YangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036, China.
Xuefang GuoGuangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
Qinghong GuoGuangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China.
Bang ShenState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, 430070, Wuhan, China.
Lihua XiaoGuangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China. lxiao1961@gmail.com.
Yaoyu FengGuangdong Laboratory for Lingnan Modern Agriculture, Center for Emerging and Zoonotic Diseases, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China. yyfeng@scau.edu.cn.
South China Agricultural University · CNHuazhong Agricultural University · CNAnhui Agricultural University · CNChongqing Three Gorges University · CN

Funding

111 Project D20008China Postdoctoral Science Foundation 2019M662675Innovation Team Project of Guangdong University 2019KCXTD001Laboratory for Lingnan Modern Agriculture Project NT2021007National Natural Science Foundation of China 32030109Natural Science Foundation of Guangdong Province 2022A1515011104
6 · The paper itself

Abstract

backgroundToxoplasma gondii infects almost all warm-blooded animals, and cats play a crucial role in the epidemiology of T. gondii as the definitive host. Despite sporadic reports on the seroprevalence of T. gondii in domestic cats, systematic surveys are lacking and some regions remain in China uninvestigated.

methodsA total of 1,521 serum samples were collected from 10 regions of China and analyzed by antibodies against T. gondii by ELISA with the purpose of identifying risk factors of T. gondii infection in cats across China and obtaining seroprevalence data from some previously uninvestigated areas.

resultsAntibodies to T. gondii were detected in 62 of 1,478 (4.2%) urban pet cats and in 9 of 43 (20.9%) stray cats. Among the regions examined, the prevalence was 13% in Sichuan, 12.8% in Chongqing, 6.4% in Hunan, 2.5% in Hubei and 0.9% in Guangdong. Additionally, this is the first report on the seroprevalence of T. gondii in urban pet cats from Qinghai (6.2%), Anhui (3.1%), Jiangxi (2.5%), Shaanxi (2.4%) and Ningxia (1.6%). The age and lifestyle (stray or pet) of cats were identified as the risk factors for seropositivity by multivariate analysis of the data.

conclusionsOur findings improve our understanding of seroprevalence and risk factors of T. gondii infection in cats across China, and provide useful information for the formulating of preventive and control measures against this widespread zoonotic parasite.

Indexed as

Cat DiseasesToxoplasmaToxoplasmosis, AnimalAnimalsAnimals, DomesticAntibodies, ProtozoanCatsChinaRisk FactorsSeroepidemiologic StudiesAntibodies, ProtozoanCatDefinitive hostEpidemiologySerologyToxoplasmosis

Identifiers

PMID36050691
PMCPMC9434894
OpenAlexW4294120774

What OpenQuestion holds

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LicenceCC BY
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.