Evidence map›Paper›PMID 23563902›Full record

ArticleParasitology research2013

Persistence of Eimeria bovis in soil.

Brian Lassen, Triin Lepik, Berit Bangoura

Abstract read
PubMed Publisher
In one paragraph

Article in Parasitology research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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, 11 citations in OpenAlex.

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  6. Distribution ofInternational journal for parasitology. Parasites and wildlife · 2021
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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

3 authors at 2 institutions in 2 countries.

Brian LassenInstitute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Kreutzwaldi 62, 51014 Tartu, Estonia. brian.lassen@gmail.com
Triin Lepik
Berit Bangoura
Estonian University of Life Sciences · EELeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eimeriosis is a disease that occurs globally and often affects cattle grazing on pastures contaminated with oocysts of the pathogenic species Eimeria bovis, Eimeria zuernii or Eimeria alabamensis, respectively. Nonetheless, little is understood regarding oocyst persistence on the pasture. The study was performed in the temperate climate zone. Soil samples were spiked with 100,000 E. bovis oocysts in July 2010 or with 50,000 oocysts in October 2010, respectively, both either with our without addition of cattle faeces. The soil samples were exposed to natural environmental conditions until April 2011. A subset of the samples was analysed immediately after spiking as positive control. The oocysts were recovered by a flotation method and counted in a reading chamber. On average, 23 % of the oocysts could be recovered from the positive control. The recovery of oocysts dropped to 0.30 % of the original level in the samples prepared in July independent of the addition of faeces, whereas the oocyst count was higher in the samples prepared in October, both without (2.05 %) and with (2.64 %) faecal material. No differences were observed between presence of oocysts or oocyst counts recovered in the presence or absence of faeces. Presence of faeces had a positive influence on oocyst integrity. During the winter season, the number of oocysts in the soil was lowered under the detection limit in most samples. On the other hand, the comparatively short 3-month summer period had a significant influence on the number of persisting oocysts too.

Indexed as

AnimalsCattleCell SurvivalEimeriaFecesParasite LoadSeasonsSoilSoil

Identifiers

PMID23563902
OpenAlexW1997527584

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.