Evidence map›Paper›PMID 36765770›Full record

ReviewCancers2023

CA125 for the Diagnosis of Advanced Urothelial Carcinoma of the Bladder: A Systematic Review and Meta-Analysis.

Hsuan-Jen Lin, Rouh-Mei Hu, Hung-Chih Chen, Chung-Chih Lin, Chi-Yu Lee, Che-Yi Chou

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Urinary tract infection caused by rare yeastFrontiers in immunology · 2026
    Review
  2. Article
  3. Review
  4. Article
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.

Hsuan-Jen LinDivision of Nephrology, Asia University Hospital, Taichung 41354, Taiwan.
Rouh-Mei HuDepartment of Bioinformatics and Medical Engineering, Asia University, Taichung 41354, Taiwan.
Hung-Chih ChenDivision of Nephrology, Asia University Hospital, Taichung 41354, Taiwan.
Chung-Chih LinDivision of Nephrology, Asia University Hospital, Taichung 41354, Taiwan.
Chi-Yu LeeDivision of Nephrology, Asia University Hospital, Taichung 41354, Taiwan.
Che-Yi ChouDivision of Nephrology, Asia University Hospital, Taichung 41354, Taiwan.ORCID 0000-0003-4029-9097

Funding

Asia University Hospital 10951008, 10951021, 11051009, 11151008
6 · The paper itself

Abstract

backgroundUrothelial carcinoma of the bladder (UCB) is the second most common genitourinary cancer. This study aims to assess the diagnostic accuracy of CA125 in advanced UCB.

methodsWe searched prevalent studies in PubMed, the Cochrane Library, Scopus, Embase, the Web of Science China National Knowledge Infrastructure database, and Wanfang data before October 2022. Pooled sensitivity, specificity, and summary receiver operating characteristics were used to assess the diagnostic value of CA125.

resultsOne thousand six hundred forty-one patients from 14 studies were analyzed. UCB stage T3-4N1 was defined as advanced UCB in ten studies; T2-4 was used in three studies; and N1M1 in one study. Patients' age was between 21 to 92, and 21% to 48.6% of patients were female. The pooled sensitivity was 0.695 (95% confidence interval (CI): 0.426-0.875). The pooled specificity was 0.846 (95% CI: 0.713-0.924). The diagnostic odds ratio was 8.138 (95% CI: 4.559-14.526). The AUC was 0.797.

conclusionCA125 may provide significant diagnostic accuracy in identifying muscle-invasive, lymph node-involved, and distant metastatic tumors in patients with urothelial carcinoma of the bladder. Limited studies have been conducted on the prognostic role of CA125. More studies are needed for a meta-analysis on the prognostic role of CA125 in UCB.

Indexed as

bladder cancerCA125diagnosismeta-analysisurothelial cancer

Identifiers

PMID36765770
PMCPMC9913454

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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.