Evidence map›Paper›PMID 39333697›Full record

ArticleProstate cancer and prostatic diseases2025

Evaluating 4Kscore's role in predicting progression on active surveillance for prostate cancer independently of clinical information and PIRADS score.

Helen Y Hougen, Isildinha M Reis, Sunwoo Han, Nachiketh Soodana Prakash, Jamie Thomas, Radka Stoyanova, R Patricia Castillo, Oleksandr N Kryvenko, Chad R Ritch, Bruno Nahar and 8 more

Abstract read
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Article in Prostate cancer and prostatic diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Best of 2025 in prostate cancer and prostatic diseases.Prostate cancer and prostatic diseases · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
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

18 authors.

Helen Y HougenUniversity of Iowa Hospitals and Clinics, Department of Urology, Iowa City, IA, USA. hhougen@uiowa.edu.ORCID 0000-0003-3141-6474
Isildinha M ReisDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA.
Sunwoo HanBiostatistics and Bioinformatics Shared Resources, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0001-6874-2471
Nachiketh Soodana PrakashDesai Sethi Urology Institute, University of Miami, Miami, FL, USA.
Jamie ThomasDesai Sethi Urology Institute, University of Miami, Miami, FL, USA.
Radka StoyanovaDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
R Patricia CastilloDepartment of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
Oleksandr N KryvenkoDesai Sethi Urology Institute, University of Miami, Miami, FL, USA.
Chad R RitchDesai Sethi Urology Institute, University of Miami, Miami, FL, USA.
Bruno NaharDesai Sethi Urology Institute, University of Miami, Miami, FL, USA.
Mark L GonzalgoDesai Sethi Urology Institute, University of Miami, Miami, FL, USA.
Sandra M GastonDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Matthew C AbramowitzDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0002-2632-579X
Alan Dal PraDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0002-1648-6557
Brandon A MahalDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0001-5406-3232
Alan PollackDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Dipen J ParekhDesai Sethi Urology Institute, University of Miami, Miami, FL, USA.
Sanoj PunnenDesai Sethi Urology Institute, University of Miami, Miami, FL, USA.

Funding

Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI George S. Grills · 2019 to 2026
$24.1M
MRI Imaging and Biomarkers for Early Detection of Aggressive Prostate CancerU01CA239141 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI POLLACK, ALAN, PUNNEN, SANOJ · 2019 to 2023
$3.0M
The Rigor and Clinical Utility of PSMA Enriched Extracellular Vesicles for Prostate Cancer DetectionR01CA272766 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SANDRA M GASTON, Alan Pollack · 2023 to 2026
$1.9M
U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 1R01CA272766U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30CA240139U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA239141
6 · The paper itself

Abstract

background4Kscore is used to aid the decision for prostate biopsy, however its role in active surveillance (AS) has not been investigated in a magnetic resonance imaging (MRI)-based protocol. Our objective was to assess the association between 4Kscore and progression in men undergoing AS on a prospective MRI-based protocol.

methodsThis was a single-institution, single-arm, non-therapeutic, interventional trial of 166 men with biopsy-confirmed prostate cancer enrolled between 2014-2020. Patients were placed on a trial-mandated AS protocol including yearly multiparametric (mp)MRI, prostate biopsy, and 4Kscore followed for 48 months after diagnosis. We analyzed protocol-defined and grade progression at confirmatory and subsequent surveillance biopsies.

resultsOut of 166 patients, 83 (50%) men progressed per protocol and of them 41 (24.7% of whole cohort) progressed by grade. At confirmatory biopsy, men with a baseline 4Kscore ≥ 20% had a higher risk of grade progression compared to those with 4Kscore < 20% (OR = 4.04, 95% CI: 1.05-15.59, p = 0.043) after adjusting for National Comprehensive Cancer Network (NCCN) risk and baseline PIRADS score. At surveillance biopsies, most recent 4Kscore ≥ 20% significantly predicted per protocol (OR = 2.61, 95% CI: 1.03-6.63, p = 0.044) and grade progression (OR = 5.13, 95% CI: 1.63-16.11, p = 0.005).

conclusionsFor patients on AS, baseline 4Kscore predicted grade progression at confirmatory biopsy, and most recent 4Kscore predicted per-protocol and grade progression at surveillance biopsy.

Indexed as

Prostatic NeoplasmsWatchful WaitingAgedBiopsyDisease ProgressionFollow-Up StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedMultiparametric Magnetic Resonance ImagingNeoplasm GradingPrognosisProspective StudiesProstate-Specific AntigenProstate-Specific Antigen

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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.