Evidence map›Paper›PMID 40243380›Full record

ArticleUrology research & practice2025

The Use of Circulating Tumor Cells in T1 Stage Non-muscle Invasive Bladder Cancer: A Systematic Review and Meta-Analysis.

Andy Zulfiqqar, Belinda Liliana, Nurul Lantika Mataho, Eko Subekti

Abstract read
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Article in Urology research & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

4 authors.

Andy ZulfiqqarDivision of Urology, Al Huda Hospital, Banyuwangi, Indonesia.
Belinda LilianaInternational Ph.D. Program in Cell Therapy and Regenerative Medicine, Taipei Medical University College of Medicine, Taipei, Taiwan.
Nurul Lantika MatahoSchool of Medicine, Faculty of Medicine Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta.
Eko SubektiDivision of Urology, Department of Surgery, Banyumas Regional General Hospital, Banyumas, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-muscle invasive bladder cancer (NMIBC) presents substantial variability in clinical outcomes, especially in high-grade T1 cases, which exhibit high recurrence and progression rates. Circulating tumor cells (CTCs) have emerged as a potential biomarker for cancer prognosis, with evidence linking CTC positivity to poor outcomes in various cancers. In bladder cancer (BC), studies suggest that CTC presence correlates with advanced tumor stage and treatment response, but findings are inconsistent. This study aims to clarify the association between CTC positivity and recurrence and progression to muscle invasiveness in BC. A comprehensive search was conducted using PubMed, SciVerse Scopus, Google Scholar, and the World Health Organization International Clinical Trials Registry Platform databases up to August 2024. This study focuses on assessing the predictive ability of CTCs for NMIBC recurrence and upstaging after transurethral resection of bladder tumor (TURBT). A total of 5 studies were included. Four of the 5 studies found a significant relationship between CTCs and recurrence after TURBT. The hazard ratio (HR) for recurrences was available in 5 studies, and the estimated pooled odds ratio (OR) predicted the value of recurrences for CTC- positive OR = 2.68 (95% CI: 2.11-3.25; P < .001; fixed-effect). Four studies provided data on disease progression from T1 to T2 after TURBT with an overall HR of 3.36 (95% CI: 2.68-3.25). Circulating tumor cells enhance prognostic accuracy and therapeutic strategies in NMIBC, particularly in high-risk cases. Further studies should address molecular subtype stratification and evaluate systemic chemotherapy for CTC-positive patients.

Indexed as

Circulating tumor celldisease progressionnon-muscle invasive bladder cancerprognosisrecurrence

Identifiers

PMID40243380
PMCPMC12015750

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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.