Evidence map›Paper›PMID 24862395›Full record

Trial reportUrology2014

Prostate Cancer Prevention Trial risk calculator 2.0 for the prediction of low- vs high-grade prostate cancer.

Donna P Ankerst, Josef Hoefler, Sebastian Bock, Phyllis J Goodman, Andrew Vickers, Javier Hernandez, Lori J Sokoll, Martin G Sanda, John T Wei, Robin J Leach and 1 more

Registry-linked trialAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04583072 (SEPTA Trial), which is not on this map. Cited by 116 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 2 pooled it
17.9field-weighted citation impact, top 1% 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.

NCT04583072 completednot on this mapstarted 2019, after this paper: background citation

SEPTA Trial: Stockholm3 Validation Study in a Multi-Ethnic Cohort for ProsTAte Cancer

TypeobservationalSponsorKarolinska InstitutetRan2019 to 2023Enrolled2,152ConditionsProstate Cancer (Diagnosis)ArmsThe Stockholm3 test
3 · Its place in the literature

Who cites it

116 citing papers in PubMed, 2 syntheses or guidelines pooled it, 238 citations in OpenAlex.

  1. Pooled it
  2. CLINICAL EVALUATION OF AN EPIGENETIC ASSAY TO PREDICT MISSED CANCER IN PROSTATE BIOPSY SPECIMENS.Transactions of the American Clinical and Climatological Association · 2016
    Pooled it
  3. Trial
  4. Differential Biopsy Patterns Influence Associations between Multivitamin Use and Prostate Cancer Risk in the Selenium and Vitamin E Cancer Prevention Trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
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  8. Review
  9. Article
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  16. Prostate Cancer: Etiology, Diagnosis, and Treatment.Serican journal of medicine · 2026
    Article
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  20. Article

56 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 2 countries.

Donna P AnkerstDepartment of Urology, University of Texas Health Science Center at San Antonio, San Antonio, TX; Department of Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, San Antonio, TX; Department of Mathematics, Technical University Munich, Garching, Germany. Electronic address: ankerst@uthscsa.edu.
Josef HoeflerDepartment of Mathematics, Technical University Munich, Garching, Germany.
Sebastian BockDepartment of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, San Antonio, TX.
Phyllis J GoodmanDepartment of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Andrew VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Javier HernandezDepartment of Urology, University of Texas Health Science Center at San Antonio, San Antonio, TX.
Lori J SokollDepartment of Oncology, Johns Hopkins Medical Institutions, Baltimore, MD.
Martin G SandaDepartment of Urology, Emory University School of Medicine, Atlanta, GA.
John T WeiDepartment of Urology, University of Michigan School of Medicine, Ann Arbor, MI.
Robin J LeachDepartment of Urology, University of Texas Health Science Center at San Antonio, San Antonio, TX; Department of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, San Antonio, TX.
Ian M ThompsonDepartment of Urology, University of Texas Health Science Center at San Antonio, San Antonio, TX.
The University of Texas Health Science Center at San Antonio · USTechnical University of Munich · DEEmory University · USFred Hutch Cancer Center · USJohns Hopkins University · USMemorial Sloan Kettering Cancer Center · USUniversity of Michigan–Ann Arbor · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
SWOG Foreign AccrualsU10CA037429 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BLANKE, CHARLES D., MEYSKENS, FRANK L. · 1985 to 2014
$205.2M
SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JAMES A EASTHAM · 2001 to 2026
$63.0M
TISSUE CULTURE---COREP30CA054174 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Robin Jean Leach · 1991 to 2026
$59.1M
SAN ANTONIO CENTER OF BIOMARKERS OF RISK FOR PROSTATE CAU01CA086402 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEACH, ROBIN JEAN, THOMPSON, IAN M. · 2000 to 2018
$33.1M
Prostate Cancer Biomarker and Imaging Validation Alliance: Emory University, University of Alabama Birmingham, and University of Texas SouthwesternU01CA113913 · NCI · EMORY UNIVERSITY · PI Martin G. Sanda · 2005 to 2026
$16.4M
Clinical and Analytical Validation of Cancer BiomarkersU24CA115102 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI · 2005 to 2021
$7.4M
PCPT and SELECT cohorts: Core Infrastructure Support for Cancer Research UM1CA182883 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TANGEN, CATHERINE M., THOMPSON, IAN M. · 2013 to 2017
$5.2M
NCI NIH HHS 5P30 CA054174-19NCI NIH HHS CA37429NCI NIH HHS P30 CA008748NCI NIH HHS P30-CA008748NCI NIH HHS P30 CA054174NCI NIH HHS P50 CA092629NCI NIH HHS P50-CA92629NCI NIH HHS U01 CA086402NCI NIH HHS U01 CA113913NCI NIH HHS U01CA86402NCI NIH HHS U10 CA037429NCI NIH HHS U24 CA115102NCI NIH HHS U24CA115102NCI NIH HHS UG1 CA189974NCI NIH HHS UM1 CA182883NCI NIH HHS UM1 CA182883-01
6 · The paper itself

Abstract

objectiveTo modify the Prostate Cancer Prevention Trial risk calculator (PCPTRC) to predict low- vs high-grade (Gleason grade≥7) prostate cancer and incorporate percent free-prostate-specific antigen (PSA).

methodsData from 6664 Prostate Cancer Prevention Trial placebo arm biopsies (5826 individuals), where prostate-specific antigen and digital rectal examination results were available within 1 year before the biopsy and PSA was ≤10 ng/mL, were used to develop a nominal logistic regression model to predict the risk of no vs low-grade (Gleason grade<7) vs high-grade cancer (Gleason grade≥7). Percent free-PSA was incorporated into the model based on likelihood ratio analysis of a San Antonio Biomarkers of Risk cohort. Models were externally validated on 10 Prostate Biopsy Collaborative Group cohorts and 1 Early Detection Research Network reference set.

resultsOf all the Prostate Cancer Prevention Trial biopsies, 5468 (82.1%) were negative for prostate cancer, 942 (14.1%) detected low-grade, and 254 (3.8%) detected high-grade disease. Significant predictors were (log base 2) PSA (odds ratio for low-grade vs no cancer, 1.29*; high-grade vs no cancer, 2.02*; high-grade vs low-grade cancer, 1.57*), digital rectal examination (0.96, 1.49*, 1.55*, respectively), age (1.02*, 1.05*, 1.03*, respectively), African American race (1.13, 2.83*, 2.51*, respectively), prior biopsy (0.63*, 0.81, 1.27, respectively), and family history (1.31*, 1.25, 0.95, respectively), where * indicates P value<.05. The new PCPTRC 2.0 either with or without percent free-PSA (also significant by the likelihood ratio method) validated well externally.

conclusionBy differentiating the risk of low- vs high-grade disease on biopsy, PCPTRC 2.0 better enables physician-patient counseling concerning whether to proceed to biopsy.

Indexed as

AgedBiopsy, NeedleDigital Rectal ExaminationDouble-Blind MethodFollow-Up StudiesHumansLikelihood FunctionsLogistic ModelsMaleMiddle AgedNeoplasm GradingNeoplasm InvasivenessNeoplasm Recurrence, LocalOdds RatioPredictive Value of TestsPrimary PreventionProstate-Specific Antigen

Identifiers

PMID24862395
PMCPMC4035700
OpenAlexW2089378422

What OpenQuestion holds

Textmetadata
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Registered trials

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.