Evidence map›Paper›PMID 41324069›Full record

ArticleBladder (San Francisco, Calif.)2025

Tran Ngoc An Huynh, Xinyi Wei, Samiha Arulshankar, Darren Lam, Kylie Yen-Yi Lim, James Huang, Nieroshan Rajarubendra, Kevin Chu, Scott Donnellan, Weranja Ranasinghe

Abstract read
In one paragraph

Article in Bladder (San Francisco, Calif.), 2025. 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. Article
  2. Article
  3. Article
  4. 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

10 authors.

Tran Ngoc An HuynhDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.
Xinyi WeiDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.
Samiha ArulshankarDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.
Darren LamDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.
Kylie Yen-Yi LimDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.
James HuangDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.
Nieroshan RajarubendraDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.
Kevin ChuDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.
Scott DonnellanDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.
Weranja RanasingheDepartment of Urology, Monash Health, Melbourne 3168, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Muscle-invasive bladder cancer has a poor prognosis. Accurate lymph node (LN) staging is crucial, yet conventional imaging demonstrates limited sensitivity for detecting metastasis, necessitating improved pre-operative assessment. Objectives: To evaluate the diagnostic accuracy of Methods: This retrospective study analyzed 138 patients who underwent RC and pelvic LN dissection (PLND) at a multisite tertiary institution from 2008 to 2021. All patients received either pre-operative CT or FDG-PET/CT within 8 weeks before RC and PLND. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value for detecting LN metastasis (LNM) were calculated using pathological analysis as the reference standard. Kaplan-Meier survival analysis and Cox regression were employed to assess overall survival (OS). Results: FDG-PET/CT exhibited higher sensitivity (70% Conclusion: FDG-PET/CT provides superior sensitivity and PPV compared to CT for LN staging in BC, facilitating more accurate pre-operative evaluation. The improved prognostic stratification associated with FDG-PET/CT may guide individualized treatment strategies.

Indexed as

18F-fluorodeoxyglucose positron emission tomography combined with computed tomographyBladder cancerComputed tomographyLymph node stagingOverall survival

Identifiers

PMID41324069
PMCPMC12661541

What OpenQuestion holds

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Registered trials

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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.