Evidence map›Paper›PMID 32191331›Full record

ArticleJAMA network open2020

Association of Sociodemographic and Health-Related Factors With Receipt of Nondefinitive Therapy Among Younger Men With High-Risk Prostate Cancer.

Alexander F Bagley, Mitchell S Anscher, Seungtaek Choi, Steven J Frank, Karen E Hoffman, Deborah A Kuban, Sean E McGuire, Quynh-Nhu Nguyen, Brian Chapin, Ana Aparicio and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. 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 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  15. Influence of Geography on Prostate Cancer Treatment.International journal of radiation oncology, biology, physics · 2021
    Article
  16. National Trends in Oncologic Diagnostic Imaging.Journal of the American College of Radiology : JACR · 2020
    Article
  17. Error in Table 3.JAMA network open · 2020
    Article
  18. Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Alexander F BagleyDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Mitchell S AnscherDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Seungtaek ChoiDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Steven J FrankDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Karen E HoffmanDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Deborah A KubanDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Sean E McGuireDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Quynh-Nhu NguyenDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Brian ChapinDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston.
Ana AparicioDepartment of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Todd A PezziDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Grace L SmithDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Benjamin D SmithDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Kenneth HessDepartment of Statistics, The University of Texas MD Anderson Cancer Center, Houston.
Chad TangDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Economic Strain and Resilience in Cancer Patients: Assessing Patient-Reported Measures of the Burdens of TreatmentK07CA211804 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SMITH, GRACE · 2016 to 2020
$853k
NCI NIH HHS K07 CA211804NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Importance: Multiple randomized clinical trials have shown that definitive therapy improves overall survival among patients with high-risk prostate cancer. However, many patients do not receive definitive therapy because of sociodemographic and health-related factors. Objective: To identify factors associated with receipt of nondefinitive therapy (NDT) among patients aged 70 years and younger with high-risk prostate cancer. Design, Setting, and Participants: This cohort study identified 72 036 patients aged 70 years and younger with high-risk prostate cancer and Charlson Comorbidity Index scores of 2 or less who were entered in the National Cancer Database between January 2004 and December 2014. Data analysis was conducted from November 2018 to December 2019. Exposure: Receipt of NDT as an initial treatment approach. Main Outcomes and Measures: Survival rates were compared based on receipt of definitive therapy or NDT, and sociodemographic and health-related factors were associated with the type of therapy received. Residual life expectancy was estimated from the National Center for Health Statistics to calculate person-years of life lost. Results: A total of 72 036 men with a median (range) age of 63 (30-70) years, Charlson Comorbidity Index scores of 2 or less, and high-risk prostate cancer without regional lymph node or distant metastatic disease were analyzed. Among eligible patients, 5252 (7.3%) received NDT as an initial therapeutic strategy. On univariate and multivariate analyses, NDT was associated with worse overall survival (univariate analysis hazard ratio, 2.54; 95% CI, 2.40-2.69; P < .001; multivariate analysis hazard ratio, 2.40; 95% CI, 2.26-2.56; P < .001). Compared with patients with private insurance or managed care, those with no insurance, Medicaid, or Medicare were more likely to receive systemic therapy only (no insurance: odds ratio [OR], 3.34; 95% CI, 2.81-3.98; P < .001; Medicaid: OR, 2.92; 95% CI, 2.48-3.43; P < .001; Medicare: OR, 1.36; 95% CI, 1.20-1.53; P < .001) or no treatment (no insurance: OR, 2.63; 95% CI, 2.24-3.08; P < .001; Medicaid: OR, 1.71; 95% CI, 1.45-2.01; P < .001; Medicare: OR, 1.14; 95% CI, 1.04-1.24; P = .004). Compared with white patients, black patients were more likely to receive systemic therapy only (OR, 1.93; 95% CI, 1.74-2.14; P < .001) or no treatment (OR, 1.46; 95% CI, 1.32-1.61; P < .001), and Hispanic patients were more likely to receive systemic therapy only (OR, 1.36; 95% CI, 1.13-1.64; P = .001) or no treatment (OR, 1.36; 95% CI, 1.14-1.60; P < .001). Between 2004 and 2014, patients without insurance or enrolled in Medicaid had 1.83-fold greater person-years of life lost compared with patients with private insurance (area under the curve, 77 600 vs 42 300 person-years of life lost). Conclusions and Relevance: In this study, receipt of NDT was associated with insurance status and race/ethnicity. While treatment decisions should be individualized for every patient, younger men with high-risk prostate cancer and minimal comorbidities should be encouraged to receive definitive local therapy regardless of other factors. These data suggest that significant barriers to life-extending treatment options for patients with prostate cancer remain.

Indexed as

Antineoplastic ProtocolsHealth Status DisparitiesSocioeconomic FactorsAdultAgedBlack or African AmericanComorbidityHealthcare DisparitiesHumansInsurance CoverageMaleMiddle AgedOdds RatioProportional Hazards ModelsProstatic NeoplasmsWhite People

Identifiers

PMID32191331
PMCPMC7082722
OpenAlexW3010965307

What OpenQuestion holds

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LicenceCC BY
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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.