Evidence map›Paper›PMID 41458220›Full record

ArticleJournal of registry management2025

Chronological Trends of PSA Levels at Diagnosis in Population-based Prostate Cancer Data 2004-2021, a Time Period of Drastic Changes in Screening Guidelines: Potential Implications in Prostate Cancer Diagnosis.

Ikuko Kato, Maarten C Bosland, Seongho Kim, Peter H Gann

Abstract read
In one paragraph

Article in Journal of registry management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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

4 authors.

Ikuko KatoDepartment of Oncology, Wayne State University School of Medicine, Detroit, Michigan.
Maarten C BoslandDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Seongho KimDepartment of Oncology, Wayne State University School of Medicine, Detroit, Michigan.
Peter H GannDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, Illinois.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: For the past two decades, there have been serial changes in prostate cancer screening guidelines, which have introduced peculiar chronological patterns in prostate cancer incidence and stage distribution in the United States (US). Most published data do not cover the last guideline change in 2018 and there have been scant data to indicate how prostate-specific antigen (PSA) levels at prostate cancer diagnosis have changed over time. In this paper, which includes an observation period through 2021, we examine chronological trends in PSA levels at diagnosis in population-based prostate cancer data. Materials and methods: We analyzed measurements of PSA levels and other tumor and patient characteristics of 945,797 prostate cancer cases diagnosed between 2004 and 2021, which were captured by the Surveillance, Epidemiology, and End Results (SEER) Program. Chronological trends of age-and race-adjusted mean PSA values, as well as the proportion of high PSA (>=20ng/ml) by year, were analyzed by Joinpoint software, overall and by major racial and age groups. Results: We found three time points indicating changes in the chronological trends of PSA. Mean PSA levels and the high PSA fraction declined up to 2007/2008 (the point at which the first guideline was issued against PSA screening for older men), stayed rather flat until 2011 (close to the time point when the recommendation against PSA screening was issued for all age groups), and thereafter they rose sharply until 2014/2015, when the rising trend began to deescalate. The point estimates for the timing of changes were slightly earlier with the binary measures than for continuous PSA values. The last, more slowly rising trend was more pronounced in younger patients (<75 years) than in older ones. We detected similar Joinpoint patterns for the proportion of advanced stage (regional and distant). Conclusions: Chronological trends of serum PSA levels observed between 2004 and 2021 in the US are generally consistent with a series of changes in US Preventive Services Task Force (USPSTF) screening guidelines that occurred during this period as well as with a shift toward advanced stage at diagnosis.

Indexed as

Early Detection of CancerProstate-Specific AntigenProstatic NeoplasmsAgedAged, 80 and overHumansMaleMiddle AgedPractice Guidelines as TopicSEER ProgramUnited StatesProstate-Specific AntigenProstate cancerprostate cancer screening guidelinesprostate-specific antigenSurveillance Epidemiology and End Results Program

Identifiers

PMID41458220
PMCPMC12742413

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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.