Evidence map›Paper›PMID 39513937›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Small Area Estimation of PSA Testing in US States and Counties.

Benmei Liu, John R Pleis, Diba Khan, Van L Parsons, Richard Lee, Bill Cai, Machell Town, Eric J Feuer, Yulei He

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. 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
–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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Benmei LiuDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0003-0096-139X
John R PleisNational Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland.ORCID 0000-0002-0928-9192
Diba KhanNational Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland.ORCID 0000-0001-7314-8709
Van L ParsonsNational Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland.ORCID 0000-0001-9329-0956
Richard LeeInformation Management Services, Inc., Calverton, Maryland.ORCID 0009-0009-6782-4040
Bill CaiNational Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland.ORCID 0009-0003-4073-2927
Machell TownDivision of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0002-7205-5073
Eric J FeuerDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0003-4842-7751
Yulei HeNational Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland.ORCID 0000-0002-8451-5452

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundIn 2012, the US Preventive Services Task Force recommended against prostate cancer screening using the PSA test for all age groups. In 2018, the US Preventive Services Task Force's recommendation shifted from a "D" (not recommended) to a "C" (selectively offering PSA-based screening based on professional judgment and patient preferences) in men ages 55 to 69. Limited reliable county-level prostate cancer screening data are available for cancer surveillance purposes.

methodsUtilizing data from the National Health Interview Survey (NHIS) and Behavioral Risk Factor Surveillance System (BRFSS) collected in 2012 to 2019, state- and county-level small area models were developed for estimating PSA testing. Model diagnosis, internal validation, and external validation examining associations of PSA testing and prostate cancer incidence were conducted.

resultsModel-based estimates of PSA testing rates were produced for all US states and 3,142 counties for two data periods: 2012 to 2016 and 2018 to 2019. Geographic variations across counties were demonstrated through maps. Moderate positive correlations between PSA-based screening and prostate cancer incidence were observed, e.g., the state-level weighted Pearson's correlation coefficients were 0.5025 (P value = 0.0002) and 0.3691 (P value = 0.0077) for 2012 to 2016 and 2018 to 2019, respectively.

conclusionsThese modeled estimates showed improved precision and adjusted for the differences between the BRFSS and NHIS. The approach of combining the NHIS and BRFSS utilized strengths of the larger sample size of the BRFSS and generally higher response rates and better household coverage from the NHIS. IMPACT: The resulting small area estimates offer a valuable resource for the cancer surveillance community, aiding in targeted interventions, decision making, and further research endeavors.

Indexed as

Early Detection of CancerProstate-Specific AntigenProstatic NeoplasmsAgedBehavioral Risk Factor Surveillance SystemHumansIncidenceMaleMiddle AgedUnited StatesProstate-Specific Antigen

Identifiers

PMID39513937
PMCPMC12188841

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Registered trials

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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.