Evidence map›Paper›PMID 24086416›Full record

ArticlePloS one2013

Prevalence and genetic characterization of Cryptosporidium in yaks in Qinghai Province of China.

Rongsheng Mi, Xiaojuan Wang, Chunhua Li, Yan Huang, Peng Zhou, Zhengfeng Li, Mengtong Lei, Jinzhong Cai, Zhaoguo Chen

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prevalence ofFrontiers in cellular and infection microbiology · 2021
    Pooled it
  2. Epidemiological overview ofJournal of advanced veterinary and animal research · 2026
    Article
  3. Detection and genetic diversity ofFood and waterborne parasitology · 2025
    Article
  4. Molecular Epidemiological Survey ofAnimals : an open access journal from MDPI · 2025
    Article
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  20. Cryptosporidium-associated diarrhoea in neonatal calves in Algeria.Veterinary parasitology, regional studies and reports · 2018
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

9 authors.

Rongsheng MiKey Laboratory of Animal Parasitology of Ministry of Agriculture, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
Xiaojuan Wang
Chunhua Li
Yan Huang
Peng Zhou
Zhengfeng Li
Mengtong Lei
Jinzhong Cai
Zhaoguo Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to determine the prevalence, species and subtypes of Cryptosporidium infecting yaks in the Qinghai Province of Northwestern China. The prevalence of Cryptosporidium spp. was detected by microscopy and nested-PCR. A total of 586 fecal samples were collected from yaks in 6 counties, of which 142 (24.2%) samples tested positive for Cryptosporidium. The small subunit (SSU) rRNA gene of fifty-five samples were amplified and sequenced successfully and demonstrated that Cryptosporidium bovis (31/55, 56.4%) was the most common species, followed by C. parvum (16/55, 29.1%) and C. ryanae (5/55, 9.0%). Mixed infections of C. parvum and C. bovis (n = 2), C. ryanae and C. bovis (n = 1) were also detected. All three species were found in yaks ranging in age from <1 year, 1-2 years, to >2 years. Cryptosporidium was most commonly detected in spring (28.4%), followed by summer (20.9%), then winter (17.5%). Cryptosporidium parvum positive samples were subtyped using the 60 kDa glycoprotein (gp60) gene. Subtypes IIaA15G2R1 (n = 8), IIaA16G2R1 (n = 2), IIaA14G1R1 (n = 1), IIaA14G2R1 (n = 1) and IIaA16G3R1 (n = 1) were detected. All of these subtypes are zoonotic, and may pose a potential threat to human health.

Indexed as

AgingAnimalsCattleCattle DiseasesChinaCryptosporidiosisCryptosporidiumHost-Parasite InteractionsHumansMolecular Sequence DataPrevalenceSeasonsSpecies Specificity

Identifiers

PMID24086416
PMCPMC3781125

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.