Evidence map›Paper›PMID 37947332›Full record

ArticleJournal of the National Cancer Institute. Monographs2023

Racial disparities in prostate cancer mortality: a model-based decomposition of contributing factors.

Roman Gulati, Yaw A Nyame, Jane M Lange, Jonathan E Shoag, Alex Tsodikov, Ruth Etzioni

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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  11. Data gaps and opportunities for modeling cancer health equity.Journal of the National Cancer Institute. Monographs · 2023
    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

6 authors at 3 institutions in 2 countries.

Roman GulatiDivision of Public Health Sciences, Biostatistics Program, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-7592-6567
Yaw A NyameDivision of Public Health Sciences, Biostatistics Program, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-8799-6749
Jane M LangeDivision of Public Health Sciences, Biostatistics Program, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Jonathan E ShoagDepartment of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA.ORCID 0000-0002-3119-9986
Alex TsodikovDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-4507-2879
Ruth EtzioniDivision of Public Health Sciences, Biostatistics Program, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-9164-6370
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZACornell University · USUniversity of Michigan · US

Funding

TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETER S NELSON · 2002 to 2026
$58.1M
Modeling Precision Interventions for Prostate Cancer ControlU01CA253915 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ETZIONI, RUTH D, TSODIKOV, ALEXANDER · 2020 to 2025
$6.5M
Modeling to Improve Prostate Cancer Outcomes Across Diverse PopulationsU01CA199338 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DE KONING, HARRY J, ETZIONI, RUTH D · 2015 to 2019
$5.2M
Statistical modeling to support population and translational cancer researchR50CA221836 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Roman Gulati · 2017 to 2026
$2.0M
NCI NIH HHS L60 CA274879NCI NIH HHS P50 CA097186NCI NIH HHS R50 CA221836NCI NIH HHS U01CA199338NCI NIH HHS U01 CA253915
6 · The paper itself

Abstract

To investigate the relative contributions of natural history and clinical interventions to racial disparities in prostate cancer mortality in the United States, we extended a model that was previously calibrated to Surveillance, Epidemiology, and End Results (SEER) incidence rates for the general population and for Black men. The extended model integrated SEER data on curative treatment frequencies and cancer-specific survival. Starting with the model for all men, we replaced up to 9 components with corresponding components for Black men, projecting age-standardized mortality rates for ages 40-84 years at each step. Based on projections in 2019, the increased frequency of developing disease, more aggressive tumor features, and worse cancer-specific survival in Black men diagnosed at local-regional and distant stages explained 38%, 34%, 22%, and 8% of the modeled disparity in mortality. Our results point to intensified screening and improved care in Black men as priority areas to achieve greater equity.

Indexed as

Black or African AmericanHealth Status DisparitiesProstatic NeoplasmsAdultAgedAged, 80 and overHumansMaleMiddle AgedProstate-Specific AntigenSEER ProgramUnited StatesWhiteProstate-Specific Antigen

Identifiers

PMID37947332
PMCPMC10637024
OpenAlexW4388556586

What OpenQuestion holds

Textmetadata
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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.