Evidence map›Paper›PMID 31104407›Full record

ArticleThe Korean journal of parasitology2019

Prevalence and Molecular Characterization of Echinococcus granulosus Sensu Stricto in Northern Xinjiang, China.

Baoping Guo, Zhuangzhi Zhang, Xueting Zheng, Yongzhong Guo, Gang Guo, Li Zhao, Ren Cai, Bingjie Wang, Mei Yang, Xi Shou and 2 more

Abstract read
In one paragraph

Article in The Korean journal of parasitology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Meta-Analysis of the Prevalence ofFrontiers in cellular and infection microbiology · 2021
    Pooled it
  3. Trial
  4. Article
  5. Five-Year Slaughterhouse-Based Surveillance ofPathogens (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Genotyping and phylogenetic analysis of hydatid cysts isolated from livestock in Bushehr province, Iran.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2021
    Article
  12. 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

12 authors.

Baoping GuoCollege of Animal Science and Technology, Shihezi University, Road Beisi, Shihezi 832003, Xinjiang, PR China.
Zhuangzhi ZhangVeterinary Research Institute, Xinjiang Academy of Animal Sciences, 726 Street Dongrong, North Gaoxin District, Urumqi 830000, Xinjiang, PR China.
Xueting ZhengState Key Laboratory for Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asian, First Affiliated Hospital of Xinjiang Medical University, Road Liyushan, Urumqi 830054, Xinjiang, PR China.
Yongzhong GuoThe Friendship Hospital of Yili Kazak Autonomous Prefecture, 92 Road Stalin, Yining 835000, Xinjiang, PR China.
Gang GuoState Key Laboratory for Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asian, First Affiliated Hospital of Xinjiang Medical University, Road Liyushan, Urumqi 830054, Xinjiang, PR China.
Li ZhaoVeterinary Research Institute, Xinjiang Academy of Animal Sciences, 726 Street Dongrong, North Gaoxin District, Urumqi 830000, Xinjiang, PR China.
Ren CaiState Key Laboratory for Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asian, First Affiliated Hospital of Xinjiang Medical University, Road Liyushan, Urumqi 830054, Xinjiang, PR China.
Bingjie WangVeterinary Research Institute, Xinjiang Academy of Animal Sciences, 726 Street Dongrong, North Gaoxin District, Urumqi 830000, Xinjiang, PR China.
Mei YangBasic Medical College of Xinjiang Medical University, Road Liyushan, Urumqi 830011, Xinjiang, PR China.
Xi ShouState Key Laboratory for Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asian, First Affiliated Hospital of Xinjiang Medical University, Road Liyushan, Urumqi 830054, Xinjiang, PR China.
Wenbao ZhangState Key Laboratory for Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asian, First Affiliated Hospital of Xinjiang Medical University, Road Liyushan, Urumqi 830054, Xinjiang, PR China.
Bin JiaCollege of Animal Science and Technology, Shihezi University, Road Beisi, Shihezi 832003, Xinjiang, PR China.

Funding

National Natural Science Foundation of China 31560692
6 · The paper itself

Abstract

Echinococcus granulosus is an important zoonotic parasite globally causing cystic echinococcosis (CE) in humans and animals. In this study, prevalence of CE and variation of cox1 gene sequence were analyzed with isolates E. granulosus collected from different areas in northern Xinjiang, China. The survey showed that 3.5% of sheep and 4.1% of cattle were infected with CE. Fragment of cox1 was amplified from all the positive sheep and cattle samples by PCR. In addition, 26 positive samples across the 4 areas were included. The isolates were all E. granulosus sensu stricto (s.s.) containing 15 haplotypes (Hap1-15), and clustered into 2 genotypes, G1 (90.1%, 91/101) and G3 (9.9%, 10/101). Hap1 was the most common haplotype (48.5%, 49/101). Hap9 were found in humans samples, indicating that sheep and cattle reservoir human CE. It is indicate that E. granulosus may impact on control of CE in livestock and humans in the region.

Indexed as

AnimalsCattleCattle DiseasesChinaCluster AnalysisEchinococcosisEchinococcus granulosusElectron Transport Complex IVGenotypeHumansMolecular EpidemiologyPrevalenceSheepSheep DiseasesElectron Transport Complex IVcox1cystic echinococcosisEchinococcus granulosus sensu strictogenegenotypeprevalenceXinjiang

Identifiers

PMID31104407
PMCPMC6526214

What OpenQuestion holds

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LicenceCC BY-NC
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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.