Evidence map›Paper›PMID 41924954›Full record

ArticleBJU international2026

Reducing complexity in International Bladder Cancer Group intermediate-risk non-muscle-invasive bladder cancer stratification: a three-factor approach.

Jayant Siva, Can Aydogdu, Nicholas Heller, Rishi Jonnalagadda, Patrick J Hensley, Gabriela M Diaz, Sean McSweeney, Rebecca Campbell, Nima Almassi, Reza Alaghehbandan and 3 more

Abstract readMulticenter Study
In one paragraph

Article in BJU international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Jayant SivaDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.
Can AydogduDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.ORCID 0009-0003-1486-183X
Nicholas HellerDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0001-8516-8707
Rishi JonnalagaddaDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.
Patrick J HensleyDepartment of Urology, University of Kentucky College of Medicine, Lexington, KY, USA.
Gabriela M DiazDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.
Sean McSweeneyDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.
Rebecca CampbellDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.
Nima AlmassiDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.
Reza AlaghehbandanDepartment of Pathology, Cleveland Clinic, Cleveland, OH, USA.
Christopher J WeightDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.
Ashish M KamatDepartment of Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Laura BukavinaDepartment of Urology, Cleveland Clinic, Cleveland, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate whether a simplified risk model preserves the prognostic performance of the International Bladder Cancer Group (IBCG) five-factor risk stratification model in intermediate-risk (IR) non-muscle-invasive bladder cancer (NMIBC). PATIENTS AND

methodsWe performed a multicentre retrospective analysis of 2822 patients with IR NMIBC treated with transurethral resection of bladder tumour and intravesical therapy between 2005 and 2025. Multivariable Cox regression identified independent predictors of recurrence and progression. A simplified risk model was constructed using significant variables and compared with the full IBCG model using recurrence and progression rates, area under the curve analysis, and likelihood ratio testing.

resultsA total of 2822 patients with IR NMIBC were included. When classified using the full IBCG model, 1143 (41%) were in the IR-low, 1535 (54%) IR-intermediate, and 144 (5%) IR-high-risk groups. On multivariable analysis, only multifocality, early recurrence, and failure of intravesical therapy independently predicted oncological outcomes. Using these factors, patients were stratified as IR-low (no factors), IR-intermediate (one factor), or IR-high (two or more factors). Under the simplified model, 1535 (54%) patients were classified as IR-low, 906 (32%) as IR-intermediate, and 381 (14%) as IR-high. The 3-year recurrence and progression rates increased stepwise across simplified risk groups. Discriminative performance of the simplified model was comparable to the full model across all metrics, with no meaningful loss of discrimination.

conclusionThree variables captured the most prognostic signal in this cohort without loss of discrimination compared with the full model. This simplified model is an internally validated refinement, with planned external validation to confirm generalisability and to ensure that simplified thresholds do not alter the clinically important IR-high subgroup used in care and trials.

Indexed as

Non-Muscle Invasive Bladder NeoplasmsUrinary Bladder NeoplasmsAdministration, IntravesicalAgedAged, 80 and overDisease ProgressionFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisRetrospective StudiesRisk AssessmentTransurethral Resection of Bladderbladder cancerIBCGNMIBCnon‐muscle‐invasive bladder cancerurothelial cancer

Identifiers

PMID41924954
PMCPMC13371396

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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.