Evidence map›Paper›PMID 41514644›Full record

ArticleCancers2025

Inflammation Indices as Predictive Markers of Muscle-Invasive Bladder Cancer.

Maciej Jaromin, Piotr Kutwin, Tomasz Konecki, Dariusz Popiela, Mateusz Kamecki, Marcin Kurowski

Abstract read
In one paragraph

Article in Cancers, 2025. 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

6 authors.

Maciej Jaromin1st Urology Department, Medical University of Lodz, 90-419 Łódź, Poland.ORCID 0009-0008-9825-2543
Piotr Kutwin1st Urology Department, Medical University of Lodz, 90-419 Łódź, Poland.ORCID 0000-0002-6681-3982
Tomasz Konecki1st Urology Department, Medical University of Lodz, 90-419 Łódź, Poland.
Dariusz Popiela1st Urology Department, Medical University of Lodz, 90-419 Łódź, Poland.
Mateusz KameckiDepartment of Chemotherapy, Medical University of Lodz, 90-419 Łódź, Poland.
Marcin KurowskiDepartment of Immunology and Allergy, Medical University of Lodz, 90-419 Łódź, Poland.ORCID 0000-0002-0653-7533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrompt diagnosis and differentiation between non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC) are essential in the treatment of bladder cancer. Inflammation-based biomarkers have recently emerged as potential tools for improving cancer diagnostics and prognostication. This study aims to evaluate the potential value of the Systemic Inflammation Index (SII), Systemic Inflammation Response Index (SIRI), Pan-immune Inflammation Value (PIV), and Platelet-to-Lymphocyte Ratio (PLR) as predictors of muscle-invasive disease. MATERIALS AND

methodsAnalyzed data included 310 bladder tumors. The SII, SIRI, PIV, and PLR were calculated from pre-TURBT complete blood-count results. Differences in inflammatory markers between pathological stages (pTa-pT4) were examined using ANOVA with Tukey's post hoc testing. Optimal cutoff values for distinguishing NMIBC from MIBC were identified using ROC curve analysis and Youden's J statistic. Logistic regression models incorporating age, sex, the number of recurrences, and each inflammatory index were developed to evaluate their predictive performance in patients treated with curative intent.

resultsAll investigated inflammation indices significantly differed across tumor stages ( DISCUSSION: The presented results indicate that inflammation-based indices vary meaningfully between bladder cancer stages and may be utilized in early identification of muscle-invasive disease. As inexpensive and widely available biomarkers, they offer potential value in the evaluation of suspected MIBC before the final pathology report and could enhance the diagnostic process.

Indexed as

bladder cancerdiagnosticsinflammation indexinflammation indicesMICBNMICBPIVPLRprediction modelSIISIRI

Identifiers

PMID41514644
PMCPMC12784776

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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.