Evidence map›Paper›PMID 39640187›Full record

ArticleBladder (San Francisco, Calif.)2024

Comparison of two automated urine cytometry systems: Sysmex

Abderrazak Saddari, Said Ezrari, Mohammed Dalli, Elmostapha Benaissa, Yassine Ben Lahlou, Mostafa Elouennass, Adil Maleb

Abstract read
In one paragraph

Article in Bladder (San Francisco, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Abderrazak SaddariLaboratory of Microbiology, Faculty of Medicine and Pharmacy, University Mohammed the First, Oujda, 60000, Morocco.
Said EzrariLaboratory of Microbiology, Faculty of Medicine and Pharmacy, University Mohammed the First, Oujda, 60000, Morocco.
Mohammed DalliHigher Institute of Nursing Professions and Health Techniques, Oujda, 60000, Morocco.
Elmostapha BenaissaDepartment of Bacteriology, Mohammed V Teaching Military Hospital, Rabat, 10045, Morocco.
Yassine Ben LahlouDepartment of Bacteriology, Mohammed V Teaching Military Hospital, Rabat, 10045, Morocco.
Mostafa ElouennassDepartment of Bacteriology, Mohammed V Teaching Military Hospital, Rabat, 10045, Morocco.
Adil MalebLaboratory of Microbiology, Faculty of Medicine and Pharmacy, University Mohammed the First, Oujda, 60000, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Urinary tract infection, defined as the presence of bacteria or yeast in the urinary tract, is the most common community-acquired infection after respiratory infections. The cytobacteriological examination of urine (CBEU) remains the primary diagnostic test for urinary tract infections and is the most frequently conducted test in microbiology laboratories. Direct examination is a crucial step of CBEU, enabling the assessment of cytology, including leukocytes and red blood cells, as well as the identification of crystals, epithelial cells, and microorganisms when present in significant quantities. This examination also provides preliminary results that can guide clinical decision-making. While the standard method for urine cytology is a microscopic examination, automation offers several advantages, including standardized results with higher repeatability, improved reproducibility, increased sample throughput, and seamless data transfer to laboratory information systems. Objectives: This study aimed to compare the performance of two automated urine cytology systems: Sysmex UF-1000i and the Beckman Coulter DxU 850 Iris. Methods: We described the methodology and technology underlying each system and assessed their analytical performance. The UF-1000i uses flow cytometry for the objective characterization and identification of particles based on forward scattering, fluorescence, and adaptive typing analysis. In contrast, the DxU-850 Iris, a urine microscopy analyzer, employs proprietary digital flow morphology technology alongside automatic particle recognition software to isolate, identify, and characterize digital images of particles. Conclusion: Our comparison showed that both systems performed exceptionally well, delivering results that are comparable, and, in some cases, superior to, those obtained through the reference method of optical microscopy.

Indexed as

Digital flow morphologyDxU 850 IrisFlow cytometryUF-1000iUrinary tract infection

Identifiers

PMID39640187
PMCPMC11617065

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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.