Evidence map›Paper›PMID 30646114›Full record

ArticleJAMA network open2018

Geographic Distribution and Survival Outcomes for Rural Patients With Cancer Treated in Clinical Trials.

Joseph M Unger, Anna Moseley, Banu Symington, Mariana Chavez-MacGregor, Scott D Ramsey, Dawn L Hershman

Abstract readComparative Study
In one paragraph

Article in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 3 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

131 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Efficacy and Utilization of Smartphone Applications for Smoking Cessation Among American Indians and Alaska Natives: Results From the iCanQuit Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Trial
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  13. Priorities for Rural Lymphoma Survivors: A Qualitative Study.Clinical lymphoma, myeloma & leukemia · 2020
    Trial
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71 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Joseph M UngerSWOG Statistics and Data Management Center, Seattle, Washington.
Anna MoseleySWOG Statistics and Data Management Center, Seattle, Washington.
Banu SymingtonSweetwater Regional Cancer Center, Memorial Hospital of Sweetwater County, Rock Springs, Wyoming.
Mariana Chavez-MacGregorDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston.
Scott D RamseyPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Dawn L HershmanColumbia University Medical Center, New York, New York.

Funding

SWOG Statistics & Data Management Center complex - extension supplement for GY06U10CA180819 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Michael L. LeBlanc · 2014 to 2026
$115.2M
SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
NCI NIH HHS U10 CA180819NCI NIH HHS UG1 CA189974
6 · The paper itself

Abstract

Importance: Studies showing that patients with cancer from rural areas have worse outcomes than their urban counterparts have relied on cancer population data and did not account for differences in access to care. Clinical trial patients receive protocol-directed care by design, so large clinical trial databases are ideal for examining the impact of rural vs urban residency on outcomes. Objective: To compare the geographic distribution and survival outcomes for rural vs urban patients with cancer treated in clinical trials. Design, Setting, and Participants: In this comparative effectiveness retrospective cohort analysis, 36 995 patients from all 50 states enrolled in 44 phase 3 and phase 2/3 SWOG (formerly the Southwest Oncology Group) treatment trials from January 1, 1986, to December 31, 2012, were examined. Seventeen different cancer-specific analysis cohorts were constructed. Data through January 30, 2018, were analyzed. Main Outcomes and Measures: Rural vs urban residency was defined using the Rural-Urban Continuum Codes developed by the US Department of Agriculture. Multivariate Cox regression was used to estimate the association of residency with overall survival, progression-free survival, and cancer-specific survival, controlling for major disease-specific prognostic factors and demographic variables and stratifying by study. Different definitions of rurality were examined. The distribution of rural vs urban patients by geographic region was described. Results: Overall, 27.7% of patients were 65 years or older (range across 17 cohort analyses, 7.8%-74.5%), 40.3% were female in the non-sex-specific analyses (range across 17 cohort analyses, 28.1%-45.9%), and 10.8% were black (range across 17 cohort analyses, 1.9%-22.4%). Overall, 19.4% of patients (7184 of 36 995) were from rural locations. Rural patients were more likely to be aged 65 years or older (rural, 30.7% aged ≥65 years vs urban, 27.0% aged ≥65 years; difference, 3.7%; 95% CI, 2.5%-4.9%; P < .001), were less likely to be black (rural, 5.4% vs urban, 12.1%; difference, 6.7%; 95% CI, 6.1%-7.3%; P < .001), were similar with respect to sex (rural, 40.4% female vs urban, 39.7% female; difference, 0.6%; 95% CI, -1.4% to 2.6%; P = .53), and were well represented within major US geographic regions (West, Midwest, South, and Northeast). Clinical prognostic factors were similar. In multivariable regression, rural patients with adjuvant-stage estrogen receptor-negative and progesterone receptor-negative breast cancer had worse overall survival (hazard ratio, 1.27; 95% CI, 1.06-1.51; P = .008) and cancer-specific survival (hazard ratio, 1.26; 95% CI, 1.04-1.52; P = .02). No other statistically significant differences for overall, progression-free, or cancer-specific survival were found. Results were consistent regardless of the definition of rurality. Conclusions and Relevance: Rural and urban patients with uniform access to cancer care through participation in a SWOG clinical trial had similar outcomes. This finding suggests that improving access to uniform treatment strategies for patients with cancer may help resolve the disparity in cancer outcomes between rural and urban patients.

Indexed as

AgedClinical Trials as TopicCohort StudiesFemaleGeographyHealthcare DisparitiesHealth Status DisparitiesHumansMaleMiddle AgedNeoplasmsRetrospective StudiesRural HealthSurvival RateUnited StatesUrban Health

Identifiers

PMID30646114
PMCPMC6324281

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.