Evidence map›Paper›PMID 38682117›Full record

ArticleBioMed research international2024

Assessing Concordance of Results: A Comparative Study of the Manual and Automated Urinalysis Methods.

Nicholas Kwame Afriyie Gyamfi, George Nkrumah Osei, Ruth C Brenyah, Lawrence Duah Agyemang, Paulina Ampomah, Kwame Osei Darkwah, Emmanuel Toboh, Richard K D Ephraim

Abstract readComparative Study
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Article in BioMed research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nicholas Kwame Afriyie GyamfiDepartment of Medical Laboratory Science, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.ORCID https://orcid.org/0009-0001-1143-8919
George Nkrumah OseiDepartment of Medical Laboratory Science, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.ORCID https://orcid.org/0009-0002-5379-963X
Ruth C BrenyahDepartment of Clinical Microbiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Lawrence Duah AgyemangPublic Health Unit, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
Paulina AmpomahDepartment of Biomedical Sciences, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.ORCID https://orcid.org/0000-0002-8863-7449
Kwame Osei DarkwahCollege of Natural Sciences, Institute of Molecular Biology and Genetics, Jeonbuk National University, Jeonju, Republic of Korea.ORCID https://orcid.org/0000-0001-6928-0248
Emmanuel TobohLaboratory Unit, Dansoman Polyclinic, Accra, Ghana.ORCID https://orcid.org/0000-0003-2678-2293
Richard K D EphraimDepartment of Medical Laboratory Science, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.ORCID https://orcid.org/0000-0003-2501-4399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: An accurate urine analysis is a good indicator of the status of the renal and genitourinary system. However, limited studies have been done on comparing the diagnostic performance of the fully automated analyser and manual urinalysis especially in Ghana. This study evaluated the concordance of results of the fully automated urine analyser (Sysmex UN series) and the manual method urinalysis at the Komfo Anokye Teaching Hospital in Kumasi, Ghana. Results: Substantial ( Conclusion: The automated and manual methods showed similar performances and good correlation, especially for physical and chemical examination. However, manual microscopy remains necessary to classify urine sediments, particularly for bacteria and yeast-like cells. Future research with larger samples could help validate automated urinalysis for wider clinical use and identify areas requiring improved automated detection capabilities.

Indexed as

UrinalysisAdultAutomationFemaleGhanaHumansMaleMiddle Aged

Identifiers

PMID38682117
PMCPMC11055648

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