Evidence map›Paper›PMID 38212986›Full record

ArticleJournal of the National Cancer Institute2024

Genetic risk and likelihood of prostate cancer detection on first biopsy by ancestry.

Kyung Min Lee, Tyler J Nelson, Alex Bryant, Craig C Teerlink, Roman Gulati, Meghana S Pagadala, Catherine Tcheandjieu, Kathryn M Pridgen, Scott L DuVall, Kosj Yamoah and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2024. 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
0.8field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 1 country.

Kyung Min LeeVA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Tyler J NelsonVA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Alex BryantDepartment of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Craig C TeerlinkVA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Roman GulatiDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID 0000-0002-7592-6567
Meghana S PagadalaVA San Diego Healthcare System, San Diego, CA, USA.
Catherine TcheandjieuVA Palo Alto Health Care System, Palo Alto, CA, USA.
Kathryn M PridgenVA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Scott L DuVallVA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
Kosj YamoahDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA.ORCID 0000-0001-9055-3538
Jason L VassySection of General Internal Medicine, VA Boston Healthcare System, Boston, MA, USA.
Tyler M SeibertVA San Diego Healthcare System, San Diego, CA, USA.
Richard L HaugerVA San Diego Healthcare System, San Diego, CA, USA.
Brent S RoseVA San Diego Healthcare System, San Diego, CA, USA.
Julie A LynchVA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.ORCID 0000-0003-0108-2127
University of California San Diego · USUniversity of Utah · USBrigham and Women's Hospital · USFred Hutch Cancer Center · USGladstone Institutes · USUniversity of Michigan · USVA Boston Healthcare System · USVA Salt Lake City Healthcare System · US

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
Modeling Precision Interventions for Prostate Cancer ControlU01CA253915 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ETZIONI, RUTH D, TSODIKOV, ALEXANDER · 2020 to 2025
$6.5M
Pragmatic randomized trial of polygenic risk scoring for common diseases in primary careR35HG010706 · NHGRI · HARVARD MEDICAL SCHOOL · PI VASSY, JASON L · 2019 to 2024
$2.6M
Novel Antagonists of the N-terminal Domain of the CRF Receptor Type 1 for Alzheimer's DiseaseRF1AG065385 · NIA · VETERANS MEDICAL RESEARCH FDN/SAN DIEGO · PI RISSMAN, ROBERT · 2020 to 2022
$2.1M
Statistical modeling to support population and translational cancer researchR50CA221836 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Roman Gulati · 2017 to 2026
$2.0M
Building a shared decision making implementation strategy for the emerging paradigm of precision cancer screeningI01HX003627 · VA · EDITH NOURSE ROGERS MEMORIAL VETERANS HOSPITAL · PI Marla L. Clayman, Jason L Vassy · 2024 to 2026
–
Clinical Manipulation of Testosterone and Its Impact on Dementia and HealthI01CX001727 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI HAUGER, RICHARD L · 2019 to 2023
–
The Prostate Cancer, Genetic Risk, and Equitable Screening Study (ProGRESS): A pragmatic trial of precision prostate cancer screeningI01CX002635 · VA · VA BOSTON HEALTH CARE SYSTEM · PI Jason L Vassy · 2024 to 2026
–
CSRD VA I01 CX001727CSRD VA I01 CX002635HSRD VA I01 HX003627NCI NIH HHS R50 CA221836NCI NIH HHS U01 CA253915NHGRI NIH HHS R35 HG010706NIA NIH HHS R01 AG050595NIA NIH HHS RF1 AG065385
6 · The paper itself

Abstract

Despite differences in prostate cancer risk across ancestry groups, relative performance of prostate cancer genetic risks scores (GRS) for positive biopsy prediction in different ancestry groups is unknown. This cross-sectional retrospective analysis examines the association between a polygenic hazard score (PHS290) and risk of prostate cancer diagnosis upon first biopsy in male veterans using 2-sided tests. Our analysis included 36 717 veterans (10 297 of African ancestry). Unadjusted rates of positive first prostate biopsy increased with higher genetic risk (low risk: 34%, high risk: 58%; P < .001). Among men of African ancestry, higher genetic risk was associated with increased prostate cancer detection on first biopsy (odds ratio = 2.18, 95% confidence interval = 1.93 to 2.47), but the effect was stronger among men of European descent (odds ratio = 3.89, 95% confidence interval = 3.62 to 4.18). These findings suggest that incorporating genetic risk into prediction models could better personalize biopsy decisions, although further study is needed to achieve equitable genetic risk stratification among ancestry groups.

Indexed as

Genetic Predisposition to DiseaseProstatic NeoplasmsAgedBiopsyBlack or African AmericanCross-Sectional StudiesHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsWhite People

Identifiers

PMID38212986
PMCPMC11077300
OpenAlexW4390790738

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.