Evidence map›Paper›PMID 33380335›Full record

ArticleInfectious diseases of poverty2020

Epidemiology of Blastocystis infection from 1990 to 2019 in China.

Chao-Qun Ning, Zhu-Hua Hu, Jun-Hu Chen, Lin Ai, Li-Guang Tian

Open access · goldAbstract readHistorical Article
In one paragraph

Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genetic diversity of single-celled microorganismCurrent research in microbial sciences · 2025
    Article
  6. Frontiers in veterinary science · 2025
    Article
  7. Article
  8. Atypical Presentation ofInternational medical case reports journal · 2025
    Article
  9. Occurrence and Genotypic Identification ofAnimals : an open access journal from MDPI · 2024
    Article
  10. Article
  11. Predominance of theOne health (Amsterdam, Netherlands) · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  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.

Chao-Qun NingChinese Center for Disease Control and Prevention, National Institute of Parasitic Diseases, Shanghai, 200025, People's Republic of China.
Zhu-Hua HuNanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China.
Jun-Hu ChenChinese Center for Disease Control and Prevention, National Institute of Parasitic Diseases, Shanghai, 200025, People's Republic of China.
Lin AiChinese Center for Disease Control and Prevention, National Institute of Parasitic Diseases, Shanghai, 200025, People's Republic of China.
Li-Guang TianChinese Center for Disease Control and Prevention, National Institute of Parasitic Diseases, Shanghai, 200025, People's Republic of China. jztlg@126.com.ORCID http://orcid.org/0000-0003-0817-6943
National Institute for Parasitic Diseases · CNNanchang Center for Disease Control and Prevention · CN

Funding

National Natural Science Foundation of China 81473022the project of Shanghai Science and Technology Commission 18490741100
6 · The paper itself

Abstract

backgroundBlastocystis is ubiquitous presence in animals and humans worldwide and has a high level genetic diversity. The aim of this study was to conduct a summary of Blastocystis prevalence, subtypes (STs) in humans and animals in China and depict their distribution.

methodsWe searched for the articles related to epidemiology of Blastocystis in humans and animals throughout China which published from January 1, 1990, to July 31, 2019 in the following databases: PubMed, China National Knowledge Infrastructure (CNKI) and Wanfang database. The keywords were Blastocystis and one of the following ones: STs, subtypes, distribution, epidemiology, prevalence, infection, molecular, geographic, intestinal parasites, genetic diversity and characterization.

resultsIn recent years, various molecular epidemiological studies have been carried out in some provinces/regions of China to identify subtypes of Blastocystis. Infants and young children, school students, hospitalized diarrhea patients, HIV/AIDS patients, tuberculosis patients, and cancer patients as respondents had been included. ST1-ST7 and ST12 were the main subtypes in Chinese population. Moreover, surveys of Blastocystis infection in animal were also conducted in some provinces of China. A variety of animals were investigated including pigs, cattle, sheep, yak, giant panda, and crested ibis (Nipponia nippon) with the main subtypes of ST1-ST8, ST10, ST12-ST14.

conclusionsIn recent years, some provinces/regions in China have conducted various molecular epidemiological studies to identify the Blastocystis subtypes. It is important to focus on new subtypes and mixed subtypes of infection, while increasing data on ribosomal alleles. We encourage the scientific community to start research on humans and surrounding animals (including domestic and wild animals) to better understand the possibility of Blastocystis transmission between humans and animals. We call for action among researchers studying intestinal parasitic diseases (Blastocystis), start drawing the subtype of Blastocystis and increase the subtype related to its clinical symptoms.

Indexed as

AdolescentAdultAgedAged, 80 and overAnimalsBlastocystis InfectionsChildChild, PreschoolChinaFemaleHistory, 20th CenturyHistory, 21st CenturyHumansInfantMaleMiddle AgedBlastocystisChinaDiversityEpidemiologyPrevalenceSubtype

Identifiers

PMID33380335
PMCPMC7772921
OpenAlexW3112234187

What OpenQuestion holds

Textmetadata
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.