Evidence map›Paper›PMID 42086443›Full record

SynthesisUrologic oncology2026

A systematic review and meta-analysis of clinicopathologic factors associated with adverse oncologic outcomes in bladder cancer patients undergoing radical cystectomy: Evidence from multivariable survival prediction models.

Alberto Artiles Medina, José Daniel Subiela, Alfonso Muriel García, Ana Domínguez Gutiérrez, Victoria Gómez Dos Santos, Noelia Álvarez Díaz, Ana Tagalos Muñoz, David López Curtis, César Mínguez Ojeda, Irene de la Parra Sánchez and 3 more

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Urologic oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Alberto Artiles MedinaDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain. Electronic address: alberc.artiles@gmail.com.
José Daniel SubielaDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.
Alfonso Muriel GarcíaClinical Biostatistics Unit, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), CIBERESP, University of Alcalá, Madrid, Spain.
Ana Domínguez GutiérrezDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.
Victoria Gómez Dos SantosDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.
Noelia Álvarez DíazLibrary, Hospital Universitario Ramón Y Cajal (IRYCIS), Madrid, Spain.
Ana Tagalos MuñozDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.
David López CurtisDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.
César Mínguez OjedaDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.
Irene de la Parra SánchezDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.
Luis CrespoDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.
Almudena Coloma Del PesoDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.
Francisco Javier Burgos RevillaDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), University of Alcalá, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review aimed to identify robust clinicopathologic predictors of overall (OS), cancer-specific (CSS), and recurrence-free survival (RFS) following radical cystectomy (RC) from published prediction models. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis) recommendations were followed, and the study was registered in PROSPERO (CRD42024509410). MEDLINE (Ovid) and Embase (Elsevier) were searched from inception to January 2024 for studies developing or validating multivariable prediction models in patients undergoing RC for non-metastatic bladder cancer. Data were extracted following the CHARMS checklist, and risk of bias was assessed using the PROBAST (Prediction model Risk Of Bias Assessment) tool. Pooled hazard ratios (HRs) were estimated with DerSimonian-Laird random-effects models. Seventy-seven studies involving survival models met the inclusion criteria: 36 for OS, 44 for CSS, and 26 for RFS. For OS, adverse predictors included advanced age (HR 1.03, 95% confidence interval [CI] 1.02-1.04), gender (female) (HR 1.08, 95% CI 1.01-1.14), higher pathologic T stage, lymph node involvement (HR 1.91, 95% CI 1.70-2.14), lymphovascular invasion (LVI) (HR 1.49, 95% CI 1.40-1.58), positive surgical margins (HR 1.74, 95% CI 1.46-2.06), and concomitant carcinoma in situ (HR 1.09, 95% CI 1.03-1.16). Neoadjuvant (HR 0.66, 95% CI 0.47-0.93) and adjuvant chemotherapy (HR 0.74, 95% CI 0.71-0.76) and compliance with pentafecta criteria (HR 0.49, 95% CI 0.30-0.79) were associated with improved OS. CSS displayed similar prognostic patterns, with additional associations for lymph node density, hydronephrosis, sarcopenia, and elevated neutrophil-lymphocyte ratio. This meta-analysis identified consistent clinicopathologic predictors of adverse oncological outcomes after RC for bladder cancer. Systematic assessment of these variables allows more accurate postoperative prognostic stratification and supports clinical decision-making regarding adjuvant treatment selection, surveillance intensification, and patient counseling.

Indexed as

CystectomyUrinary Bladder NeoplasmsHumansPrognosisCystectomyNomogramsPrognosisSurvivalUrinary bladder neoplasms

Identifiers

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.