Evidence map›Paper›PMID 31246547›Full record

ArticleThe Journal of urology2019

The Relative Importance of Race Compared to Health Care and Social Factors in Predicting Prostate Cancer Mortality: A Random Forest Approach.

Heidi A Hanson, Christopher Martin, Brock O'Neil, Claire L Leiser, Erik N Mayer, Ken R Smith, William T Lowrance

Erratum issuedAbstract readComparative Study
In one paragraph

Article in The Journal of urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Heidi A Hanson *Department of Surgery and Population Sciences, University of Utah, Salt Lake City, Utah.
Christopher Martin *Division of Urology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Brock O'NeilDepartment of Surgery and Population Sciences, University of Utah, Salt Lake City, Utah.
Claire L LeiserDepartment of Population Sciences, University of Utah, Salt Lake City, Utah.
Erik N MayerDivision of Urology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Ken R SmithDepartment of Population Sciences, University of Utah, Salt Lake City, Utah.
William T LowranceDivision of Urology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI KATHARINE S ULLMAN · 1986 to 2026
$72.6M
Utah Building Interdisciplinary Resreach Careers in Women's Health Career Development ProgramK12HD085852 · NICHD · UNIVERSITY OF UTAH · PI VARNER, MICHAEL W. · 2015 to 2019
$2.3M
Subtyping Bladder Cancer: A Multi-omic, Exposure-informed, Genealogical Approach (MErGE)K07CA230150 · NCI · UNIVERSITY OF UTAH · PI HANSON, HEIDI ANNE · 2018 to 2021
$683k
NCI NIH HHS K07 CA230150NCI NIH HHS P30 CA042014NICHD NIH HHS K12 HD085852
6 · The paper itself

Abstract

purposeThere is a differential in prostate cancer mortality between black and white men. Advances in precision medicine have shifted the research focus toward underlying genetic differences. However, nonbiological factors may have a large role in these observed disparities. Therefore, we sought to measure the relative importance of race compared to health care and social factors on prostate cancer specific mortality. MATERIALS AND

methodsUsing the SEER (Surveillance, Epidemiology, and End Results) database we identified 514,878 men diagnosed with prostate cancer at age 40 years or greater between 2004 and 2012. We also selected a subset of black and white men matched by age, stage and birth year. We stratified patients by age 40 to 54, 55 to 69 and 70 years or older and disease stage, resulting in 18 groups. By applying random forest methods with variable importance measures we analyzed 15 variables and interactions across 4 categories of factors (tumor characteristics, race, and health care and social factors) and the relative importance for prostate cancer specific mortality.

resultsTumor characteristics at diagnosis were the most important factors for prostate cancer mortality. Across all groups race was less than 5% as important as tumor characteristics and only more important than health care and social factors in 2 of the 18 groups. Although race had a significant impact, health care and social factors known to be associated with racial disparities had greater or similarly important effects across all ages and stages.

conclusionsEradicating disparities in prostate cancer survival will require a multipronged approach, including advances in precision medicine. Disparities will persist unless health care access and social equality are achieved among all populations.

Indexed as

Health Status DisparitiesAdultAgedBlack or African AmericanBlack PeopleCohort StudiesData Interpretation, StatisticalHealthcare DisparitiesHealth Services AccessibilityHumansMaleMiddle AgedNeoplasm GradingProstateProstate-Specific AntigenProstatic NeoplasmsProstate-Specific Antigenhealth services accessibilitymortalityprostatic neoplasmsrace factorsSEER program

Identifiers

PMID31246547
PMCPMC8276188

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.