Evidence map›Paper›PMID 42388592›Full record

ArticleCancer diagnosis & prognosis

Comparison of Automated Urinalysis Parameter Atyp.C and Urine Cytology for Detecting Bladder Carcinoma

Ryu Shigehisa, Satoshi Fukata, Keisuke Sugimoto, Shiori Miyazaki, Shinji Tokuhiro, Anantya Pustimbara, Chiaki Kawada, Rie Yoshimura, Keisuke Mizutani, Daigo Takemori and 9 more

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Article in Cancer diagnosis & prognosis. 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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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

19 authors.

Ryu ShigehisaDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Satoshi FukataDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Keisuke SugimotoDepartment of Clinical Laboratory, Kochi Medical School, Kochi University, Nankoku, Japan.
Shiori MiyazakiDepartment of Clinical Laboratory, Kochi Medical School, Kochi University, Nankoku, Japan.
Shinji TokuhiroDepartment of Clinical Laboratory, Kochi Medical School, Kochi University, Nankoku, Japan.
Anantya PustimbaraCenter for Photodynamic Medicine, Kochi Medical School, Kochi University, Nankoku, Japan.
Chiaki KawadaDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Rie YoshimuraDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Keisuke MizutaniDepartment of Urology, Kochi Prefectural Aki General Hospital, Aki, Japan.
Daigo TakemoriDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Yuhei ShibaDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Shinkuro YamamotoDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Hiroto OsakabeDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Tomoya NaoDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Tsutomu ShimamotoDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Hideo FukuharaDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Nobutaka ShimizuPelvic Floor Center, Kochi Medical School, Kochi University, Nankoku, Japan.
Shingo AshidaDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.
Keiji InoueDepartment of Urology, Kochi Medical School, Kochi University, Nankoku, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: Urine cytology is a standard non-invasive test for detecting atypical urothelial cells in bladder cancer, although its sensitivity remains limited. While Atyp.C reflects cytological atypia and may aid in detecting urothelial malignancy, its diagnostic performance in bladder carcinoma Patients and Methods: We retrospectively analyzed patients with pathologically confirmed bladder CIS treated from January 2022 to July 2025. The diagnostic sensitivities of urine cytology and Atyp.C were compared, and the performance of their combination was assessed using exact McNemar tests and paired bootstrap analyses. Additional analyses were performed for pure CIS, primary bladder cancer, and recurrent bladder cancer. Results: This study included 61 patients. The overall sensitivity was 77% for urine cytology and 73.8% for Atyp.C, with only a small difference and bootstrap confidence intervals crossing zero. Combined testing showed a higher sensitivity (85.2%), but this increase was not statistically significant. Similar diagnostic performance and no significant incremental benefit were observed across the additional analyses. Conclusion: Atyp.C demonstrated diagnostic sensitivity comparable to urine cytology for the detection of bladder CIS. As an automated and cost-neutral parameter, Atyp.C may be a useful complementary indicator in routine clinical practice.

Indexed as

Atyp.Cautomated urinalysisBladder carcinoma in situdiagnostic sensitivityurine cytology

Identifiers

PMID42388592
PMCPMC13321950

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