Evidence map›Paper›PMID 40104687›Full record

ReviewResearch and reports in urology2025

Recent Advances and Emerging Innovations in Transurethral Resection of Bladder Tumor (TURBT) for Non-Muscle Invasive Bladder Cancer: A Comprehensive Review of Current Literature.

Rei Ben Muvhar, Reem Paluch, Matan Mekayten

Abstract readReview
In one paragraph

Review in Research and reports in urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Efficacy analysis of transurethralTranslational andrology and urology · 2026
    Article
  4. Article
  5. Article
  6. Review
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

3 authors.

Rei Ben MuvharFaculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Reem PaluchFaculty of Medicine, Technion-Israel, Institute of Technology, Haifa, Israel.
Matan MekaytenAdelson School of Medicine, Ariel University, Ariel, Israel.ORCID 0000-0001-9116-960X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer management, particularly non-muscle-invasive bladder cancer (NMIBC), has evolved significantly due to advancements in imaging techniques and surgical methodologies. Enhanced tumor visualization methods, including Photodynamic Diagnosis (PDD) and Narrow-Band Imaging (NBI), offer improved detection rates for both papillary tumors and carcinoma in situ (CIS), compared to traditional white-light cystoscopy (WLC). Recent studies suggest that these technologies enhance diagnostic accuracy, reduce recurrence rates, and improve oncological outcomes. Additionally, transurethral resection of bladder tumors (TURBT), performed with advanced imaging, has demonstrated better resection quality, particularly in terms of detrusor muscle presence. Despite these innovations, challenges remain in the long-term impact on recurrence-free and progression-free survival. Artificial intelligence (AI) integration into cystoscopic imaging further promises enhanced diagnostic precision and cost-effective bladder cancer management. As personalized treatment paradigms emerge, predictive biomarkers, including genomic and pathological markers, may help stratify patients for aggressive treatment, sparing those at lower risk from unnecessary interventions. Future research should focus on validating these AI models and combining them with enhanced imaging modalities to refine treatment protocols further. These advancements collectively represent a significant leap toward precision medicine in bladder cancer care.

Indexed as

artificial intelligencebiomarkersbladder neoplasmsnarrow-band imagingphotodynamic therapyprecision medicinerecurrence-free survivaltransurethral resectiontumor

Identifiers

PMID40104687
PMCPMC11917164

What OpenQuestion holds

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Registered trials

None linked

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.