Evidence map›Paper›PMID 35786339›Full record

ArticleInfectious disorders drug targets2022

Molecular Identification of Free-living Amoebae Isolated from Hospital Water Systems in Southwest Iran.

Azin Salehi, Reza Arjmand, Molouk Beiromvand, Mehdi Tavalla

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Article in Infectious disorders drug targets, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

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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

2 citing papers in PubMed, 2 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

4 authors at 1 institution in 1 country.

Azin SalehiStudent Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Reza ArjmandDepartment of Parasitology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Molouk BeiromvandDepartment of Parasitology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mehdi TavallaDepartment of Parasitology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Ahvaz Jundishapur University of Medical Sciences · IR

Funding

Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran OG-9841
6 · The paper itself

Abstract

introductionFree-living amoebae are opportunistic amoebae that usually live freely in various environmental conditions, including warm water and even in water supply network pipes and reservoirs connected to water. In addition to living freely, these protozoa are able to attack the host's body when they enter a human or animal body. Therefore, it is necessary to identify their presence in water resources. So, this study aimed to identify free-living amoebae isolated from water reservoirs of hospitals in southwest Iran.

methodsA total of 80 water samples were isolated from the hospitals of Ahvaz city, southwest Iran, and their physical and chemical parameters were measured. The samples were then put into non-food agar culture medium and stained using the Wright-Giemsa staining. Finally, the samples were identified by the PCR molecular method.

resultsThe mean pH and turbidity values were 7.57 ± 0.03 and 3.31 ± 0.26 nephelometric turbidity unit (NTU), respectively. The mean residual chlorine and electrical conductivity were 0.91 ± 0.02 and 1122.39 ± 24.31, respectively. In addition, 9 (11.25%) and 3 (3.75%) samples were contaminated with Acanthamoeba spp. and Naegleria spp., respectively. However, no positive cases of Balamuthia spp. infection were observed. Moreover, two samples were co-infected with Acanthamoeba spp. and Naegleria spp.

conclusionDue to the existence of free-living amoebae in water storage tanks at hospitals, it is necessary to prevent possible contamination with these amoebae and infectious agents by using new methods of disinfection and purification of water resources.

Indexed as

agarfree-living amoebaehospital water systemsPCRPrevalenceprotozoa

Identifiers

PMID35786339
OpenAlexW4283792346

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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.