Evidence map›Paper›PMID 39070703›Full record

ArticleTherapeutic advances in infectious disease

Fungal contamination of the water distribution system of a tertiary hospital water supply system in a resource-limited setting.

Kolapo S Olawale, Rita O Oladele, Rebecca F Peters, Bassey E Ekeng, Folasade T Ogunsola

Abstract read
In one paragraph

Article in Therapeutic advances in infectious disease. 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
–field-weighted citation impact
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.

  1. Article
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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

5 authors.

Kolapo S OlawaleDepartment of Microbiology and Parasitology, College of Medicine, University of Lagos, Mycology Reference Centre, Block-M, College of Medicine, Idi-Araba, Mushin, Lagos State, 100254, Nigeria.
Rita O OladeleDepartment of Microbiology and Parasitology, College of Medicine, University of Lagos, Lagos, Nigeria.
Rebecca F PetersDepartment of Microbiology and Parasitology, Lagos University Teaching Hospital, Lagos, Nigeria.
Bassey E EkengMedical Mycology Society of Nigeria, Lagos, Nigeria.ORCID https://orcid.org/0000-0002-0509-2480
Folasade T OgunsolaDepartment of Microbiology and Parasitology, College of Medicine, University of Lagos, Lagos, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fungal contamination of hospital water distribution systems has been implicated in outbreaks of healthcare-associated infections. Objectives: To evaluate the prevalence of fungi in the water distribution system of a tertiary hospital in Nigeria. Design: This was a descriptive cross-sectional study. Methods: Swabs and water samples were collected from taps and faucets in the hospital categorized into low (Accidents and Emergency Unit, Children Emergency Unit, Acute Stroke Unit and the 24 in-patient hospital wards) and high-risk (Renal Dialysis Unit, Central Sterile Services Department, Theatres and Intensive Care Units (ICUs)) units based on the vulnerability of patients being managed there. The membrane filtration method for water analysis was used. Where possible, isolates cultured were identified to species level. In total, 105 water and 49 swab samples were collected for analysis. Results: All analysed water samples grew fungi. A total of 289 (high-risk; Conclusion: Our data reveal a high rate of contamination of hospital water sources by fungi, some of which are known to cause life-threatening infections. For better water treatment and water tank cleaning and disinfection, a standard protocol is advised. Ensuring that the water distribution systems in hospital settings are free of fungal contaminants is important to prevent the possibility of waterborne mycosis outbreaks.

Indexed as

Aspergillusfungal contaminantsfungihospital watermembrane filtrationwater contamination

Identifiers

PMID39070703
PMCPMC11273584

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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.