Evidence map›Paper›PMID 34448371›Full record

ArticleVeterinary medicine and science2021

Molecular identification of Theileria equi, Babesia caballi, and Rickettsia in adult ticks from North of Xinjiang, China.

Yang Zhang, Xiuxiu Wen, Peipei Xiao, Xinli Fan, Min Li, Bayin Chahan

Abstract read
In one paragraph

Article in Veterinary medicine and science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Molecular Survey ofVeterinary sciences · 2026
    Article
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  8. Pathogenetic identification in ticks and yaks from Zoige County, China.Frontiers in cellular and infection microbiology · 2024
    Article
  9. 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

6 authors.

Yang ZhangDepartment of Animal Parasitological, Xinjiang Agricultural University School of Veterinary, Uygur, XinJiang, China.ORCID 0000-0001-5810-4775
Xiuxiu WenDepartment of Animal Parasitological, Xinjiang Agricultural University School of Veterinary, Uygur, XinJiang, China.
Peipei XiaoDepartment of Animal Parasitological, Xinjiang Agricultural University School of Veterinary, Uygur, XinJiang, China.
Xinli FanDepartment of Animal Parasitological, Xinjiang Agricultural University School of Veterinary, Uygur, XinJiang, China.
Min LiDepartment of Animal Parasitological, Xinjiang Agricultural University School of Veterinary, Uygur, XinJiang, China.
Bayin ChahanDepartment of Animal Parasitological, Xinjiang Agricultural University School of Veterinary, Uygur, XinJiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTicks in Xinjiang distribute widely and account for one third of China. Ticks can carry and transmit bacteria, virus, and parasite. However, the research of tick-borne pathogens in Xinjiang is rather little.

objectiveTo understand the situation of hard tick carry Theileria equi, Babesia caballi and Rickettsia spp. of Zhaosu and Altay in Xinjiang.

methodsIn this study, 119 tick samples were obtained from horses in Xinjiang, China, Ticks were identified morphologically to determine species and PCR was used to investigate the situation of pathogens by hard ticks.

resultsOne hundred and seven belong to Dermacentor marginatus, five belong to D. niveus, and seven belong to D. silvarum. Theileria equi and Babesia caballi were detected in one tick and 18 ticks, respectively. However, the carrying rate of Rickettsia spp. was 51.26% (61/119). Among these, the mixed carriage rate of T. equi and Rickettsia spp. was 0.8% (1/119). The mixed carriage rate of B. caballi and Rickettsia spp. was 10.1% (12/119).

conclusionOur results revealed that hard tick can carry not only haeimoparasite but also many important zoonotic pathogens in Xinjiang, and this situation was worth heeding.

Indexed as

BabesiaRickettsiaTheileriaTicksAnimalsChinaHorsesBabesia caballiChinahard tickRickettsiaTheileria equiXinjiang province

Identifiers

PMID34448371
PMCPMC8604137

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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.