Evidence map›Paper›PMID 29502512›Full record

ArticleInfectious diseases of poverty2018

Molecular epidemiology of Giardia duodenalis infection in humans in Southern Ethiopia: a triosephosphate isomerase gene-targeted analysis.

Mengistu Damitie, Zeleke Mekonnen, Tadesse Getahun, Dante Santiago, Luc Leyns

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Prevalence and Genetic Diversity ofJournal of parasitology research · 2025
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  3. The opportunistic protist,Emerging microbes & infections · 2023
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  4. Exploring genetic variability ofFrontiers in microbiology · 2023
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  5. Article
  6. The controversies surroundingCurrent research in parasitology & vector-borne diseases · 2021
    Review
  7. Article
  8. Prevalence and genotypic characterization ofFood and waterborne parasitology · 2020
    Article
  9. Article
  10. Identification of UncommonFrontiers in cellular and infection microbiology · 2020
    Article
  11. 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

5 authors at 2 institutions in 2 countries.

Mengistu DamitieDepartment of Environmental Health Sciences and Technology, Jimma University, Jimma, Ethiopia. mdamtie195@gmail.com.
Zeleke MekonnenSchool of Medical Laboratory Sciences, Jimma University, Jimma, Ethiopia.
Tadesse GetahunDepartment of Environmental Health Sciences and Technology, Jimma University, Jimma, Ethiopia.
Dante SantiagoDepartment of Environmental Health Sciences and Technology, Jimma University, Jimma, Ethiopia.
Luc LeynsDepartment of Biology, Faculty of Science and Bioengineering Sciences, Vrije Universiteit Brussel, Brussels, Belgium.
Jimma University · ETVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiardia duodenalis is a species complex consisting of multiple genetically distinct assemblages. The species imposes a major public health crisis on developing countries. However, the molecular diversity, transmission dynamics and risk factors of the species in these countries are indeterminate. This study was conducted to determine the molecular epidemiology of G. duodenalis infection in asymptomatic individuals in Southern Ethiopia.

methodsFrom March to June 2014, fresh stool samples were collected from 590 randomly selected individuals. Socio-demographic data were gathered using a pre-tested structured questionnaire. The genotyping was done using triosephosphate isomerase gene-based nested polymerase chain reaction and DNA sequencing. The genetic identity and relatedness of isolates were determined using the basic local alignment search tool and phylogenetic analysis. Risk factors associated with G. duodenalis infection were analysed using binary and multinomial logistic regression models.

resultsThe results showed that 18.1% (92/509) of the study subjects were infected by G. duodenalis. Among the isolates, 35.9% (33/92) and 21.7% (20/92) were sub-typed into assemblages A and B, respectively, whereas 42.4% (39/92) showed mixed infections of A and B. Most of the assemblage A isolates (94%,31/33) were 100% identical to sequences registered in GenBank, of which the majority belonged to sub-assemblage AII. However, the high genetic variability and frequency of double peaks made sub-genotyping of assemblage B more problematic and only 20% (4/20) of the isolates matched 100% with the sequences. The risk factors of age (P = 0.032) and type of drinking water source (P = 0.003) both showed a significant association with the occurrence G. duodenalis infection.

conclusionsThis study established the endemicity of G. duodenalis in Southern Ethiopia. Infection with assemblage A was more frequent than with assemblage B, and the rate of infection was higher in children and in municipal/tap and open spring water consumers than the other groups. Sub-typing of assemblage B and determining the origin of double peaks were challenging. The present study confirms the need for further inclusive studies to be conducted focusing on sub-types of assemblage B and the origin of heterogeneity.

Indexed as

AdolescentAdultChildChild, PreschoolCross-Sectional StudiesDNA, ProtozoanEthiopiaFemaleGenes, ProtozoanGenotypeGiardia lambliaGiardiasisHumansInfantInfant, NewbornMaleDNA, ProtozoanTriose-Phosphate IsomeraseAssemblageEthiopiaGiardia duodenalisMolecular epidemiologyRisk factorsTriosephosphate isomerase gene

Identifiers

PMID29502512
PMCPMC5836388
OpenAlexW2797420912

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.