Evidence map›Paper›PMID 42406398›Full record

ArticleJAMA network open2026

Prostate-Specific Antigen Screening Patterns and Metastatic Prostate Cancer in US Veterans.

Mehrnaz Siavoshi, Stephen Frochen, Mary Fakunle, Ananta Wadhwa, Ashley-Marie Y Green-Lott, Anissa V Bailey, Lorna Kwan, Candace Haroldsen, Atim Effiong, Brent S Rose and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Mehrnaz SiavoshiVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.
Stephen FrochenVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.
Mary FakunleDepartment of Urology, University of California, Los Angeles.
Ananta WadhwaVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.
Ashley-Marie Y Green-LottVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.
Anissa V BaileyVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.
Lorna KwanVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.
Candace HaroldsenVeterans Affairs Salt Lake City Healthcare System, Salt Lake City, Utah.
Atim EffiongVeterans Affairs Salt Lake City Healthcare System, Salt Lake City, Utah.
Brent S RoseDepartment of Radiation Oncology, University of California, San Diego.
Timothy R RebbeckDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Hari S IyerVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.
Isla P GarrawayVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Metastatic prostate cancer (PC) incidence has increased in US men, partly due to changes in prostate-specific antigen (PSA) screening recommendations. However, few studies have examined contemporary PSA screening practices in large US health care systems. Objective: To describe and examine contemporary PSA testing practices associated with metastatic PC incidence. Design, Setting, and Participants: This cohort study included veterans within the Veterans Health Administration that received a prostate needle biopsy (PNB) between January 2015 and December 2023 with follow-up through 2024, excluding those with a history of PC. Data were analyzed between July 1, 2023, and November 6, 2025. Exposures: PSA tests were retrieved from the VA Corporate Data Warehouse and categorized by age at first VA PSA (<50, 50-59, and ≥60 years) and by longest interval between consecutive VA PSA tests in the 5 years before PNB (≤24 vs >24 months). Clinical, laboratory, pathological, demographic, and census block group-level socioeconomic status data were obtained from the VA Multi-OMICS Analysis Platform for Prostate Cancer database. Main Outcomes and Measures: Multivariable Cox models estimated hazard ratios (HRs) from time of first VA PSA to first PNB, evaluated risk of metastatic (regional or distant) vs localized PC or benign diagnosis, and adjusted for sociodemographic and clinical covariates. Results: There were 103 067 participants of whom 20 233 (19.6%) were younger than 50 years at first PSA, 31 546 (30.6%) were non-Hispanic Black, 58 264 (56.5%) were non-Hispanic White, and 13 277 (12.9%) had other race or ethnicity. Of all participants, 22 190 (21.5%) had a first PSA value of 1 ng/mL or less, 52 939 (51.4%) had a screening interval of 24 months or less, and 3773 (3.7%) were diagnosed with metastatic PC at time of PNB. Compared with men aged younger than 50 years at first PSA, those aged 50 to 59 years (adjusted HR [aHR], 1.27; 95% CI, 1.24-1.29) and 60 years or older (aHR, 2.37; 95% CI, 2.33-2.42) had higher risk of metastatic PC. Men with longer screening intervals had higher risk of metastatic PC (aHR, 1.14; 95% CI, 1.13-1.16). Men aged younger than 50 years with shorter screening intervals had lower rates of metastatic PC (adjusted risk ratio, 0.10; 95% CI, 0.09-0.12) compared with men aged 60 years or older with longer screening intervals. Conclusions and Relevance: In this cohort study, few veterans had the most favorable combinations of screening factors in relation to metastatic PC, suggesting potential for further screening optimization.

Indexed as

Early Detection of CancerMass ScreeningProstate-Specific AntigenProstatic NeoplasmsVeteransAgedCohort StudiesHumansIncidenceMaleMiddle AgedNeoplasm MetastasisUnited StatesUnited States Department of Veterans AffairsProstate-Specific Antigen

Identifiers

PMID42406398
PMCPMC13338809

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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.