Evidence map›Paper›PMID 28848640›Full record

ArticleElectronic physician2017

Prevalence of

Reza Ranjbar, Roohollah Fattahi

Open access · goldAbstract read
In one paragraph

Article in Electronic physician, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Reza RanjbarMolecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Roohollah FattahiMolecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Baqiyatallah University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCryptosporidium is a coccidian parasite that can infect most mammals, including humans. This parasite is an important cause of neonatal diarrhea and morbidity in calves, causing substantial economic loss to animal husbandry. Because of the importance of this parasite in calves, this study was designed in order to determine prevalence of Cryptosporidium spp. among calves under one year old in Ilam county (Iran).

methodsPrevalence of Cryptosporidium spp. was estimated using a cross-sectional study. Fecal samples from 400 calves under 1 year old were collected in Ilam County, from March 2014 to February 2015 and they were microscopically analyzed using modified Ziehl-Neelsen method (mZN).

resultsThe overall prevalence of Cryptosporidiosis in calves was 16% (64/400). According to age categories, the highest infection was observed in calves under one month old, and the lowest infection occurred in calves 6 to 12 months old. Age was significantly associated with Cryptosporidium spp. infection (p<0.05). The prevalence of Cryptosporidiosis in diarrheic and none diarrheic calves was 27.3 and 12.4 % respectively, which indicated a significant association between positivity and diarrhea (p<0.05). The highest prevalence was observed in winter followed by autumn, spring and summer respectively. No statically difference was found between prevalence of Cryptosporidiosis and seasons of sampling. Also, calves' gender was not associated with Cryptosporidium spp. infection in this study.

conclusionOur results provide useful information about the distribution of Cryptosporidium spp. Also, the role of potential risk factors including age, sex, clinical status and seasons of sampling was indicated in studied calves from Ilam County.

Indexed as

CalvesCryptosporidium spp.IlamIranprevalence

Identifiers

PMID28848640
PMCPMC5557145
OpenAlexW2737925448

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.