Evidence map›Paper›PMID 26758449›Full record

ArticleParasitology research2016

First report of Cryptosporidium species in farmed and wild buffalo from the Northern Territory, Australia.

Alireza Zahedi, Jordan Phasey, Tony Boland, Una Ryan

Abstract read
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In one paragraph

Article in Parasitology research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Cryptosporidiosis and Giardiasis in Buffaloes (Frontiers in veterinary science · 2020
    Review
  5. Article
  6. Review
  7. 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

4 authors at 1 institution in 1 country.

Alireza ZahediSchool of Veterinary and Life Sciences, Murdoch University, Perth, Australia.
Jordan PhaseyIndigenous Essential Services, Power and Water Corporation, Darwin, NT, Australia.
Tony BolandTropical Water Solutions Pty. Ltd., Woolner, Australia.
Una RyanSchool of Veterinary and Life Sciences, Murdoch University, Perth, Australia. Una.Ryan@murdoch.edu.au.
Murdoch University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A molecular epidemiological survey of Cryptosporidium from water buffalo (Bubalus bubalis) in the Northern Territory in Australia was conducted. Fecal samples were collected from adult farmed (n = 50) and wild buffalo (n = 50) and screened using an 18S quantitative PCR (qPCR). Positives were typed by sequence analysis of 18S nested PCR products. The qPCR prevalence of Cryptosporidium species in farmed and wild buffalo was 30 and 12 %, respectively. Sequence analysis identified two species: C. parvum and C. bovis, with C. parvum accounting for ~80 % of positives typed from the farmed buffalo fecal samples compared to 50 % for wild buffalo. Subtyping at the 60 kDa glycoprotein (gp60) locus identified C. parvum subtypes IIdA19G1 (n = 4) and IIdA15G1 (n = 1) in the farmed buffalo and IIaA18G3R1 (n = 2) in the wild buffalo. The presence of C. parvum, which commonly infects humans, suggests that water buffaloes may contribute to contamination of rivers and waterways with human infectious Cryptosporidium oocysts, and further research on the epidemiology of Cryptosporidium in buffalo populations in Australia is required.

Indexed as

BuffaloesAnimalsCryptosporidiosisCryptosporidiumFecesHumansMolecular EpidemiologyNorthern TerritoryOocystsPolymerase Chain ReactionPrevalence18SBuffaloC. bovisC. parvumCryptosporidiumgp60

Identifiers

PMID26758449
OpenAlexW2234702414

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.