Evidence map›Paper›PMID 41568143›Full record

ArticleiScience2026

Comparative evaluation of three automated urine sediment analyzers excluding cutoff-related trade-offs.

Jinho Lee, Heekang Choi, Hanmil Jang, John Hoon Rim, Sang-Guk Lee, Jong-Baeck Lim

Abstract read
In one paragraph

Article in iScience, 2026. 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

6 authors.

Jinho LeeDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Heekang ChoiDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Hanmil JangDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
John Hoon RimDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Sang-Guk LeeDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
Jong-Baeck LimDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Performance comparison of automated urine sediment analyzers is difficult due to cutoff-related trade-offs. In this study, we evaluated and compared UF-5000, UAS800, and Cobas u701 using receiver operating characteristic (ROC) analysis. A total of 774 urine samples were analyzed using manual microscopic examination and microbial culture as the reference test. The area under the ROC curve (ROC-AUC) was compared using DeLong's test. UF-5000, a flow cytometry analyzer, demonstrated significantly better performance than both the automated imaging analyzers UAS800 and Cobas u701 for detecting significant bacteriuria or mucous thread. However, its performance was significantly worse for detecting crystals. UAS800 and Cobas u701 showed generally similar performance, but with significant differences for detecting red blood cells, sperm, and significant bacteriuria. Our results highlight the operating mechanism as a key determinant of performance, and also show that analyzers with similar operating mechanisms can still have significant differences in their performance.

Indexed as

Medical deviceNephrology

Identifiers

PMID41568143
PMCPMC12818263

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.