Evidence map›Paper›PMID 36207415›Full record

ArticleScientific reports2022

Fungal contamination of medical students' mobile phones from the University of Belgrade, Serbia: a cross-sectional study.

Eleonora Dubljanin, Teodora Crvenkov, Isidora Vujčić, Sandra Šipetić Grujičić, Jakša Dubljanin, Aleksandar Džamić

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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
–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

4 citing papers in PubMed.

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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

6 authors.

Eleonora DubljaninFaculty of Medicine, Institute of Microbiology and Immunology, University of Belgrade, Belgrade, Serbia. eleonoraratkov@yahoo.com.ORCID 0000-0002-6484-3192
Teodora CrvenkovFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Isidora VujčićFaculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia.
Sandra Šipetić GrujičićFaculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia.
Jakša DubljaninDepartment of Cardiology, University Clinical Hospital Center Zemun, Belgrade, Serbia.
Aleksandar DžamićFaculty of Medicine, Institute of Microbiology and Immunology, University of Belgrade, Belgrade, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aimed to characterize fungal contamination of medical students' mobile phones, investigate mobile phones' usage and cleaning habits, identify independent risk factors for fungal contamination, and awareness of mobile phones as a potential route of infection. In a cross-sectional study, medical students' mobile phones were sampled for possible fungal contamination. The questionnaire was used to record mobile phone usage, cleaning habits, and awareness of mobile phones as a source of infection. A total of 492 medical students were included and fungal contamination of mobile phones was confirmed in 32.11%. The most frequent fungal isolates on students' mobile phones were Candida albicans (28.5%), followed by Aspergillus niger (11.4%), and Penicillium chrysogenum (9.5%). Factors independently associated with fungal contamination of students' mobile phones were: lack of mobile phone cleaning (OR = 0.381; p < 0.001), and usage of mobile phones near patients' beds (OR = 0.571; p = 0.007). The results of this study confirmed that students who use their mobile phones in hospital wards have a higher rate of fungal contamination. The development of active surveillance and preventive strategies is needed to reduce the risk of cross-contamination and increase awareness of fungal transmission via mobile phones.

Indexed as

Cell PhoneStudents, MedicalCross-Sectional StudiesHumansSerbiaSurveys and Questionnaires

Identifiers

PMID36207415
PMCPMC9540039

What OpenQuestion holds

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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.