Evidence map›Paper›PMID 42436677›Full record

ArticleEuropean urology open science2026

Substaging and Stratified Treatment of T1 Bladder Cancer - a Nationwide Register-Based Study.

Ninna K Nielsen, Peter B Hjort, Erik B Hansen, Charlotte Graugaard-Jensen, Jakob K Jakobsen, Pernille S Kingo, Jørgen B Jensen

Abstract read
In one paragraph

Article in European urology open science, 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

7 authors.

Ninna K NielsenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Peter B HjortDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Erik B HansenDepartment of Urology, Aarhus University Hospital, Aarhus, Denmark.
Charlotte Graugaard-JensenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Jakob K JakobsenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Pernille S KingoDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Jørgen B JensenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Substaging of T1 bladder cancer (BC) was implemented in Denmark in 2010 based on depth of lamina propria invasion-pT1a (superficial) and pT1b (deep)-with bladder-sparing therapy recommended for pT1a and early cystectomy for pT1b. This study evaluated outcomes of this substage-guided approach in a nationwide cohort. Methods: In this nationwide register-based study (2012-2018), all patients diagnosed with T1 BC were identified from the Danish Bladder Cancer Database. Patients were stratified by substage (pT1a, pT1b, unspecified pT1). Overall survival was estimated using Kaplan-Meier analysis; intravesical recurrence and progression were analysed using the Aalen-Johansen estimator, treating death as a competing risk; hazard ratios (HRs) were calculated using Cox models adjusted for sex, age, and comorbidities. Key findings and limitations: Among 3086 patients (pT1a: 1,542; pT1b: 1,195; unspecified pT1: 349), the 5-yr overall survival (OS) was 67% for pT1a, 53% for pT1b, and 53% for unspecified pT1 ( Conclusions and clinical implications: Nationwide T1 substaging was feasible and retained prognostic value. pT1b disease was associated with worse outcomes, and one in five patients with pT1b who underwent cystectomy had muscle-invasive disease. These findings support substage-based management while warranting prospective evaluation accounting for treatment selection.

Indexed as

Bladder cancerNon-muscle invasive bladder cancerPathological substagingT1 substaging

Identifiers

PMID42436677
PMCPMC13355817

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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.