Evidence map›Paper›PMID 33884491›Full record

ArticleParasitology research2021

First report of Eimeria and Entamoeba infection in alpacas (Vicugna pacos) in Shanxi Province, northern China.

Wen-Wei Gao, Ye-Ting Ma, Yuan-Yuan Ma, Run-Li Li, Jin Li, Fu-Guo Zheng, Wen-Bin Zheng, Qing Liu, Xing-Quan Zhu

Abstract read
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In one paragraph

Article in Parasitology research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. The Taxonomy of the GenusPathogens (Basel, Switzerland) · 2026
    Review
  3. First report on the infection ofOne health (Amsterdam, Netherlands) · 2025
    Article
  4. Article
  5. First Molecular Identification ofVeterinary sciences · 2025
    Article
  6. Article
  7. Morphological and molecular identification ofFrontiers in veterinary science · 2024
    Article
  8. Prevalence and Molecular Identification ofFrontiers in veterinary science · 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

9 authors at 1 institution in 1 country.

Wen-Wei GaoCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi Province, 030801, People's Republic of China.
Ye-Ting MaCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi Province, 030801, People's Republic of China.
Yuan-Yuan MaState Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, Gansu Province, 730046, People's Republic of China.
Run-Li LiCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi Province, 030801, People's Republic of China.
Jin LiCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi Province, 030801, People's Republic of China.
Fu-Guo ZhengCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi Province, 030801, People's Republic of China.
Wen-Bin ZhengCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi Province, 030801, People's Republic of China.
Qing LiuCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi Province, 030801, People's Republic of China.
Xing-Quan ZhuCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, Shanxi Province, 030801, People's Republic of China. xingquanzhu1@hotmail.com.ORCID http://orcid.org/0000-0003-2530-4628
Shanxi Agricultural University · CN

Funding

Agricultural Science and Technology Innovation Program CAAS-ASTIP-2016-LVRI-03Program for the Science and Technology Innovation of Shanxi Agricultural University 2017YJ10the Open Funds of the State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences SKLVEB2018KFKT015Yunnan Expert Workstation 202005AF150041
6 · The paper itself

Abstract

Intestinal protozoa Eimeria and Entamoeba can infect many animal species including alpacas. However, data on the prevalence and pathogenicity of species of the two genera Eimeria and Entamoeba in alpacas in China is scarce. The current study was carried out to investigate the prevalence of Eimeria and Entamoeba in alpacas in two cities (Taiyuan and Xinzhou) in Shanxi Province, northern China, using PCR-based approaches. Eimeria spp. were only found in Taiyuan city, and the overall prevalence was 1.64%. All samples collected from male alpacas were PCR-negative for Eimeria. Four Eimeria-positive samples were tested positive as Eimeria lamae. The molecular prevalence of Entamoeba in alpacas was 18.03% (66/366), including 16.39% (50/305) in alpacas from Taiyuan city and 26.23% (16/61) from Xinzhou city, respectively. The Entamoeba prevalence in male alpacas (25.00%) was significantly higher than that in female alpacas (15.69%). Entamoeba bovis was the predominant species, and no Entamoeba histolytica infection was detected. Nine unique SSU rRNA gene sequences of Entamoeba were obtained which formed a new cluster. The results showed that sex and location might be the risk factors associated with prevalence of Eimeria spp., and sex might be the risk factor associated with prevalence of Entamoeba spp.. This is the first report of Entamoeba in alpacas worldwide. These findings expand our understanding of the prevalence and genetic diversity of Eimeria and Entamoeba in alpacas.

Indexed as

AnimalsCamelids, New WorldChinaCoccidiosisEimeriaEntamoebaEntamoebiasisFecesFemaleMalePolymerase Chain ReactionPrevalenceAlpacas (Vicugna pacos)ChinaEimeriaEntamoebaPrevalence

Identifiers

PMID33884491
OpenAlexW3156896493

What OpenQuestion holds

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Registered trials

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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.