Evidence map›Paper›PMID 28695916›Full record

ArticleProstate cancer and prostatic diseases2017

The impact of sociodemographic factors and PSA screening among low-income Black and White men: data from the Southern Community Cohort Study.

K A Moses, Z Zhao, Y Bi, J Acquaye, A Holmes, W J Blot, J H Fowke

Abstract read
In one paragraph

Article in Prostate cancer and prostatic diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Aspirin Use and Prostate Cancer among African-American Men in the Southern Community Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
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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

7 authors.

K A MosesDepartment of Urologic Surgery, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Z ZhaoDepartment of Biostatistics, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Y BiDepartment of Biostatistics, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
J AcquayeMeharry Medical College, Nashville, TN, USA.
A HolmesMeharry Medical College, Nashville, TN, USA.
W J BlotDepartment of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
J H FowkeDepartment of Urologic Surgery, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Southern Community Cohort StudyR01CA092447 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., ZHENG, WEI · 2001 to 2015
$74.0M
The RCMI Program in Health Disparities Research at Meharry Medical College - SupplementU54MD007586 · NIMHD · MEHARRY MEDICAL COLLEGE · PI Maureen Sanderson · 2017 to 2026
$48.2M
Southern Community Cohort StudyU01CA202979 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., SHRUBSOLE, MARTHA J. · 2016 to 2025
$22.0M
Translational Pathology CoreU54CA163069 · NCI · MEHARRY MEDICAL COLLEGE · PI ADUNYAH, SAMUEL EVANS · 2011 to 2025
$18.8M
Vanderbilt Clinical Oncology Research Career Development ProgramK12CA090625 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Debra L. Friedman, Paula Jill Hurley · 2001 to 2026
$16.9M
NCI NIH HHS K12 CA090625NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA092447NCI NIH HHS U01 CA202979NCI NIH HHS U54 CA163069
6 · The paper itself

Abstract

backgroundVariation in PSA screening is a potential source of disparity in prostate cancer survival, particularly among underserved populations. We sought to examine the impact of race and socioeconomic status (SES) on receipt of PSA testing among low-income men.

methodsBlack (n=22 167) and White (n=9588) men aged ⩾40 years completed a baseline questionnaire from 2002 to 2009 as part of the Southern Community Cohort Study. Men reported whether they had ever received PSA testing and had testing within the prior 12 months. To evaluate the associations between SES, race and receipt of PSA testing, odds ratios (ORs) and 95% confidence intervals (CIs) were estimated from the multivariable logistic models where age, household income, insurance status, marital status, body mass index and educational level were adjusted.

resultsBlack men were younger, had a lower income, less attained education and were more likely to be unmarried and uninsured (all P<0.001). Percentages of men having ever received PSA testing rose from <40% under the age of 45 years to ~90% above the age of 65 years, with Whites >50 more likely than Blacks to have received testing. Lower SES was significantly associated with less receipt of PSA testing in both groups. After adjustment for SES, White men had significantly lower odds of PSA testing (OR 0.81; 95% CI: 0.76-0.87).

conclusionsGreater PSA testing among White than Black men over the age of 50 years in this low-income population appears to be mainly a consequence of SES. Strategies for PSA screening may benefit from tailoring to the social circumstances of the men being screened.

Indexed as

Socioeconomic FactorsAdultAgedAge FactorsBlack or African AmericanHumansMaleMass ScreeningMiddle AgedProstate-Specific AntigenProstatic NeoplasmsSurveys and QuestionnairesUnited StatesWhite PeopleProstate-Specific Antigen

Identifiers

PMID28695916
PMCPMC5861729

What OpenQuestion holds

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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.