Evidence map›Paper›PMID 35403734›Full record

ArticleThe Prostate2022

Contemporary seminal vesicle invasion rates in NCCN high-risk prostate cancer patients.

Rocco S Flammia, Benedikt Hoeh, Gabriele Sorce, Francesco Chierigo, Lukas Hohenhorst, Zhen Tian, Jordan A Goyal, Costantino Leonardo, Alberto Briganti, Markus Graefen and 7 more

Open access · hybridAbstract read
In one paragraph

Article in The Prostate, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Prognostic significance of the mEPE score in intermediate-risk prostate cancer patients undergoing ultrahypofractionated robotic SBRT.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
    Article
  4. European journal of medical research · 2025
    Article
  5. Clinicopathological analysis of the absence of seminal vesicle invasion in prostate cancer patients without radiological evidence on magnetic resonance imaging.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    Article
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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

17 authors at 6 institutions in 8 countries.

Rocco S FlammiaDepartment of Maternal-Child and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, Rome, Italy.
Benedikt HoehCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.ORCID 0000-0002-4238-6584
Gabriele SorceCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Francesco ChierigoCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.ORCID 0000-0001-7357-0758
Lukas HohenhorstCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Zhen TianCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Jordan A GoyalCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Costantino LeonardoDepartment of Maternal-Child and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, Rome, Italy.
Alberto BrigantiDivision of Experimental Oncology, Department of Urology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Markus GraefenMartini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Carlo TerroneCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Fred SaadCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Shahrokh F ShariatDepartment of Urology, Weill Cornell Medical College, New York, New York, USA.
Francesco MontorsiDivision of Experimental Oncology, Department of Urology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Felix K H ChunDepartment of Urology, University Hospital Frankfurt, Frankfurt am Main, Germany.
Michele GallucciDepartment of Maternal-Child and Urological Sciences, Sapienza University Rome, Policlinico Umberto I Hospital, Rome, Italy.
Pierre I KarakiewiczCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Université de Montréal · CAIstituti di Ricovero e Cura a Carattere Scientifico · ITPoliclinico Umberto I · ITGoethe University Frankfurt · DEUniversität Hamburg · DEAl-Ahliyya Amman University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContemporary seminal vesicle invasion (SVI) rates in National Cancer Comprehensive Network (NCCN) high-risk prostate cancer (PCa) patients are not well known but essential for treatment planning. We examined SVI rates according to individual patient characteristics for purpose of treatment planning. MATERIALS AND

methodsWithin Surveillance, Epidemiology, and End Results (SEER) database (2010-2015), 4975 NCCN high-risk patients were identified. In the development cohort (SEER geographic region of residence: South, North-East, Mid-West, n = 2456), we fitted a multivariable logistic regression model predicting SVI. Its accuracy, calibration, and decision curve analyses (DCAs) were then tested versus previous models within the external validation cohort (SEER geographic region of residence: West, n = 2519).

resultsOut of 4975 patients, 28% had SVI. SVI rate ranged from 8% to 89% according to clinical T stage, prostate-specific antigen (PSA), biopsy Gleason Grade Group and percentage of positive biopsy cores. In the development cohort, these variables were independent predictors of SVI. In the external validation cohort, the current model achieved 77.6% accuracy vs 73.7% for Memorial Sloan Kettering Cancer Centre (MSKCC) vs 68.6% for Gallina et al. Calibration was better than for the two alternatives: departures from ideal predictions were 6.0% for the current model vs 9.8% for MSKCC vs 38.5% for Gallina et al. In DCAs, the current model outperformed both alternatives. Finally, different nomogram cutoffs allowed to discriminate between low versus high SVI risk patients.

conclusionsMore than a quarter of NCCN high-risk PCa patients harbored SVI. Since SVI positivity rate varies from 8% to 89%, the currently developed model offers a valuable approach to distinguish between low and high SVI risk patients.

Indexed as

ProstatectomyProstatic NeoplasmsBiopsyHumansMaleNeoplasm InvasivenessNeoplasm StagingNomogramsProstate-Specific AntigenSeminal VesiclesProstate-Specific Antigenand End Results (SEER)Epidemiologyhigh-riskprostate cancerradical prostatectomySurveillanceSVI

Identifiers

PMID35403734
PMCPMC9325368
OpenAlexW4223454100

What OpenQuestion holds

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LicenceCC BY-NC
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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.