Evidence map›Paper›PMID 38830942›Full record

ArticleScientific reports2024

The UF-5000 Atyp.C parameter is an independent risk factor for bladder cancer.

Tong Zhang, Jianhong Zhu, Zhaoxing Li, Ya Zhao, Yan Li, Jing Li, Qian He, Yan Geng, Wei Lu, Lei Zhang and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

11 authors.

Tong Zhang *Department of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.ORCID 0009-0001-3619-1289
Jianhong Zhu *Department of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
Zhaoxing LiDepartment of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
Ya ZhaoDepartment of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
Yan LiDepartment of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
Jing LiDepartment of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
Qian HeDepartment of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
Yan GengDepartment of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
Wei LuDepartment of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
Lei ZhangDepartment of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China. zuibaxian2001@163.com.ORCID 0009-0002-7261-3095
Zhenzhen LiDepartment of Clinical Laboratory, Second Hospital, Xi'an Jiaotong University, Xi'an, 710004, China. 15129886763@163.com.ORCID 0000-0002-2383-5479

Funding

the Key Science and Technology Program of Shaanxi Province NO.2022SF-508
6 · The paper itself

Abstract

Bladder carcinoma (BC) accounts for > 90% of all urothelial cancers. Pathological diagnosis through cytoscopic biopsy is the gold standard, whereas non-invasive diagnostic tools remain lacking. The "Atyp.C" parameter of the Sysmex UF-5000 urine particle analyzer represents the ratio of nucleus to cytoplasm and can be employed to detect urinary atypical cells. The present study examined the association between urinary Atyp.C values and BC risk. This two-center, retrospective case-control study identified clinical primary or newly recurrent BC (study period, 2022-2023; n = 473) cases together with controls with urinary tract infection randomly matched by age and sex (1:1). Urinary sediment differences were compared using non-parametric tests. The correlations between urinary Atyp.C levels and BC grade or infiltration were analyzed using Spearman's rank correlation. The BC risk factor odds ratio of Atyp.C was calculated using conditional logistic regression, and potential confounder effects were adjusted using stepwise logistic regression (LR). Primary risk factors were identified by stratified analysis according to pathological histological diagnosis. The mean value of urinary Atyp.C in BC cases (1.30 ± 3.12) was 8.7 times higher than that in the controls (0.15 ± 0.68; P < 0.001). Urinary Atyp.C values were positively correlated with BC pathological grade and invasion (r = 0.360, P < 0.001; r = 0.367, P < 0.001). Urinary Atyp.C was an independent risk factor for BC and closely related with BC pathological grade and invasion. Elevated urinary Atyp.C values was an independent risk factor for BC. Our findings support the use of Atyp.C as a marker that will potentially aid in the early diagnosis and long-term surveillance of new and recurrent BC cases.

Indexed as

Urinary Bladder NeoplasmsAgedCase-Control StudiesCell NucleusFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsAtyp.CBladder cancerConditional logistic regressionRisk factor

Identifiers

PMID38830942
PMCPMC11148171

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