Evidence map›Paper›PMID 38371197›Full record

ArticleBJUI compass2024

Validation of non-muscle-invasive bladder cancer risk stratification updated in the 2021 European Association of Urology guidelines.

Makito Miyake, Hiroshi Kitamura, Nobutaka Nishimura, Tatsuki Miyamoto, Tomonori Nakahama, Tomomi Fujii, Hiroaki Matsumoto, Hideyasu Matsuyama, Masaya Yonemori, Hideki Enokida and 8 more

Open access · goldAbstract read
In one paragraph

Article in BJUI compass, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Alternating intravesical instillation of Bacillus Calmette-Guérin andAmerican journal of translational research · 2025
    Article
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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

18 authors at 9 institutions in 1 country.

Makito MiyakeDepartment of Urology Nara Medical University Kashihara Nara Japan.ORCID https://orcid.org/0000-0001-9503-7356
Hiroshi KitamuraDepartment of Urology, Faculty of Medicine University of Toyama Toyama Japan.
Nobutaka NishimuraDepartment of Urology Nara Medical University Kashihara Nara Japan.
Tatsuki MiyamotoDepartment of Urology Nara Medical University Kashihara Nara Japan.
Tomonori NakahamaDepartment of Urology Nara Medical University Kashihara Nara Japan.
Tomomi FujiiDepartment of Diagnostic Pathology Nara Medical University Kashihara Nara Japan.
Hiroaki MatsumotoDepartment of Urology, Graduate School of Medicine Yamaguchi University Ube Yamaguchi Japan.
Hideyasu MatsuyamaDepartment of Urology, Graduate School of Medicine Yamaguchi University Ube Yamaguchi Japan.
Masaya YonemoriDepartment of Urology, Graduate School of Medical and Dental Sciences Kagoshima University Kagoshima Japan.
Hideki EnokidaDepartment of Urology, Graduate School of Medical and Dental Sciences Kagoshima University Kagoshima Japan.
Rikiya TaokaDepartment of Urology, Faculty of Medicine Kagawa University Takamatsu Kagawa Japan.
Takashi KobayashiDepartment of Urology Kyoto University Graduate School of Medicine Kyoto Japan.ORCID https://orcid.org/0000-0003-1069-2816
Takahiro KojimaDepartment of Urology Aichi Cancer Center Nagoya Aichi Japan.
Yoshiyuki MatsuiDepartment of Urology National Cancer Center Hospital Tokyo Japan.
Naotaka NishiyamaDepartment of Urology, Faculty of Medicine University of Toyama Toyama Japan.
Hiroyuki NishiyamaDepartment of Urology, Faculty of Medicine University of Tsukuba Tsukuba Ibaraki Japan.
Kiyohide FujimotoDepartment of Urology Nara Medical University Kashihara Nara Japan.
Nishinihon Uro‐oncology Extensive Collaboration group and the Japanese Urological Oncology Group
Nara Medical University · JPKagoshima University · JPUniversity of Toyama · JPYamaguchi University · JPAichi Cancer Center · JPKagawa University · JPKyoto University · JPTokyo National Hospital · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study is to validate the predictive ability of the 2021 European Association of Urology (EAU) risk model compared to that of existing risk models, including the 2019 EAU model and risk scoring tables of the European Organization for Research and Treatment of Cancer, Club Urologico Espanol de Tratamiento Oncologico, and Japanese Nishinihon Uro-oncology Extensive Collaboration Group. Patients and methods: This retrospective multi-institutional database study included two cohorts-3024 patients receiving intravesical bacillus Calmette-Guerin (BCG) treatment (BCG cohort) and 789 patients not receiving BCG treatment (non-BCG cohort). The Kaplan-Meier estimate and log-rank test were used to visualize and compare oncological survival outcomes after transurethral surgery among the risk groups. Harrell's concordance index (C-index) was used to evaluate the predictive ability of the models. Results: We observed a risk shift from the 2019 EAU risk grouping to the 2021 EAU risk grouping in a substantial number of patients. For progression, the C-index of the 2021 EAU model was significantly higher than that of the 2019 EAU model in both the BCG (0.617 vs. 0.572; Conclusions: The updated 2021 EAU model showed better stratification than the three existing risk models, especially for progression, in both cohorts, determining the most appropriate postoperative treatment and identifying patients requiring intensified surveillance or early cystectomy.

Indexed as

predictionprognosisprogressionrecurrenceriskurinary bladder neoplasms

Identifiers

PMID38371197
PMCPMC10869660
OpenAlexW4388328405

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.