Evidence map›Paper›PMID 30770979›Full record

SynthesisParasitology research2019

Human Babesiosis in China: a systematic review.

Zetian Chen, Huiqin Li, Xiaoge Gao, Anning Bian, Hongru Yan, Delong Kong, Xiangye Liu

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Parasitology research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 47 citations in OpenAlex.

  1. Molecular epidemiology ofFrontiers in microbiology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Diversity of piroplasmids in wild animals in Brazil: a review.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2025
    Review
  7. Research progress on diagnostic techniques for differentFrontiers in cellular and infection microbiology · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Nucleic Acid Prevalence of ZoonoticTropical medicine and infectious disease · 2023
    Review
  13. Article
  14. Identification of Bacterial Communities and Tick-Borne Pathogens inTropical medicine and infectious disease · 2022
    Article
  15. Article
  16. Cell-based carrier for targeted hitchhiking delivery.Drug delivery and translational research · 2022
    Review
  17. Article
  18. Article
  19. The Global Emergence of Human Babesiosis.Pathogens (Basel, Switzerland) · 2021
    Review
  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

7 authors at 1 institution in 1 country.

Zetian ChenJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, National Demonstration Center for Experimental Basic Medical Science Education, Xuzhou Medical University, 221004, Xuzhou, People's Republic of China.
Huiqin LiJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, National Demonstration Center for Experimental Basic Medical Science Education, Xuzhou Medical University, 221004, Xuzhou, People's Republic of China.
Xiaoge GaoCancer Institute, Xuzhou Medical University, Xuzhou, 221002, Jiangsu, People's Republic of China.
Anning BianJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, National Demonstration Center for Experimental Basic Medical Science Education, Xuzhou Medical University, 221004, Xuzhou, People's Republic of China.
Hongru YanJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, National Demonstration Center for Experimental Basic Medical Science Education, Xuzhou Medical University, 221004, Xuzhou, People's Republic of China.
Delong KongJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, National Demonstration Center for Experimental Basic Medical Science Education, Xuzhou Medical University, 221004, Xuzhou, People's Republic of China.
Xiangye LiuJiangsu Key Laboratory of Immunity and Metabolism, Department of Pathogenic Biology and Immunology, National Demonstration Center for Experimental Basic Medical Science Education, Xuzhou Medical University, 221004, Xuzhou, People's Republic of China. liuxy83@xzhmu.edu.cn.
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human babesiosis, a worldwide emerging tick-borne disease, is caused by the intraerythrocytic apicomplexan parasite, babesia. In recent years, the number of infected patients globally has continued to rise, and thus human babesiosis poses a significant public health threat. Therefore, stronger initiatives should be undertaken to prevent further spread and development of this disease. In the present review, we summarize the epidemiology of reported human babesiosis cases in China from 1993 until now. The data show that Babesia microti is the dominant species causing human babesiosis in China and has led to more than 100 human infections thus far, where Babesia crassa-like is the second-most common. Moreover, Guangxi province is the second-most infected area after the Heilongjiang province. We also review the babesia life cycle, manifestation, diagnosis, and treatment. Additionally, we discuss babesiosis prevention strategies to raise public awareness, and also provide suggestions for improved babesiosis control.

Indexed as

BabesiosisAnimalsBabesia microtiChinaGeographyHumansLife Cycle StagesMiceTick-Borne DiseasesTicksBabesisa spp.ChinaEpidemiologyHuman babesiosisPreventionTreatment

Identifiers

PMID30770979
OpenAlexW2912841636

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.