Evidence map›Paper›PMID 41154439›Full record

ArticleCancers2025

Index Cancer Density Is a Stronger Predictor of Pelvic Lymph Node Invasion than Percentage of Biopsy-Positive Cores in EAU High-Risk Prostate Cancer: Clinical Impact in 254 Patients Treated and Staged with Robot-Assisted Radical Prostatectomy.

Maria Angela Cerruto, Antonio Benito Porcaro, Alberto Bianchi, Alessandro Tafuri, Andrea Panunzio, Rosella Orlando, Francesca Montanaro, Alberto Baielli, Francesco Artoni, Andrea Franceschini and 9 more

Abstract read
PubMed Full text at PMC Publisher
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

19 authors.

Maria Angela CerrutoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.ORCID 0000-0002-1793-2336
Antonio Benito PorcaroDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Alberto BianchiDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Alessandro TafuriDepartment of Urology, Vito Fazzi Hospital, 73110 Lecce, Italy.
Andrea PanunzioDepartment of Urology, Vito Fazzi Hospital, 73110 Lecce, Italy.ORCID 0000-0002-9756-4632
Rosella OrlandoDepartment of Urology, Vito Fazzi Hospital, 73110 Lecce, Italy.
Francesca MontanaroDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Alberto BaielliDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Francesco ArtoniDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Andrea FranceschiniDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Lorenzo De BonDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Alessandro VecciaDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.ORCID 0000-0001-5947-3206
Riccardo RizzettoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Matteo BrunelliDepartment of Pathology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Vincenzo De MarcoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Filippo MiglioriniDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.
Salvatore SiracusanoDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Riccardo Giuseppe BertoloDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.ORCID 0000-0003-0260-4601
Alessandro AntonelliDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, 37129 Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the density percentage of biopsy-positive cores (BPCs) relative to prostate volume, defined as Id-BPC, compared with BPCs as a predictor of pelvic lymph node invasion (PLNI) in EAU high-risk prostate cancer (PCa) treated and staged with robot-assisted radical prostatectomy (RARP).

methodsOverall, 254 EAU high-risk patients were treated with RARP between January 2013 and December 2021.

resultsOverall, PLNI was detected in 23.2% of patients who were more likely to present with standard adverse clinical features; likewise, on multivariate models, PLNI was independently predicted by both BPC and Id-BPC with the latter showing a stronger association (OR = 1.926; 95% CI: 1.246-2.977;

conclusionsIn the investigated population, Id-BPC was a stronger predictor of PLNI than BPC; accordingly, as Id-BPC increased, patients were more likely to have PLNI; equivalently, subjects presenting with Id-BPC less than one were 3.5 times less likely to have PLNI. This information has implications for clinical practice as well as for computing nomograms or patterns of artificial intelligence networks.

Indexed as

EAU high-risk prostate cancerpelvic lymph node invasionpercentage of biopsy positive corespercentage of biopsy positive cores relative to prostate volume (index cancer density)prostate cancerprostate volumerobot-assisted radical prostatectomy (RARP)

Identifiers

PMID41154439
PMCPMC12562296

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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.