Evidence map›Paper›PMID 30646225›Full record

ArticleJAMA network open2018

Factors Associated With Cancer Disparities Among Low-, Medium-, and High-Income US Counties.

Jeremy M O'Connor, Tannaz Sedghi, Meera Dhodapkar, Michael J Kane, Cary P Gross

Abstract read
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 82 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Cancer Mortality Before Age 50 Years.JAMA network open · 2026
    Article
  7. Article
  8. Article
  9. Article
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  12. Dynamic income patterns and risk of pancreatic and biliary tract cancers: A nationwide cohort study.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026
    Article
  13. The impact of social determinants on care for veterans with cancer: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  14. Article
  15. Cancer disparities: an extensive review.Ecancermedicalscience · 2026
    Review
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  20. Article

22 more citing papers are in PubMed but not listed here.

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

5 authors.

Jeremy M O'ConnorYale University School of Medicine, New Haven, Connecticut.
Tannaz SedghiYale University School of Medicine, New Haven, Connecticut.
Meera DhodapkarThe University of Chicago, Chicago, Illinois.
Michael J KaneYale University School of Public Health, New Haven, Connecticut.
Cary P GrossYale University School of Medicine, New Haven, Connecticut.

Funding

NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
NCATS NIH HHS TL1 TR001864
6 · The paper itself

Abstract

Background: There are concerns about the degree to which county income level might underlie the stark disparities in cancer death rates among US counties; at the same time, there is uncertainty about the factors that may mediate the disparities. Objectives: To assess county-level cancer death rates and to identify possible mediators of the association between county-level median incomes and cancer death rates. Design, Setting, and Participants: Cross-sectional study using death records from the National Center for Health Statistics in 2014, with data collected and analyzed between October 1, 2016, and July 31, 2017. All US counties and county equivalents were included. Exposures: County-level median household income. Main Outcomes and Measures: County-level age-standardized cancer death rate. Results: In 3135 counties, median incomes ranged from $22 126 to $121 250 per year. Low-income counties (median income, $33 445) vs high-income counties (median income, $55 780) had higher proportions of residents who were non-Hispanic black, lived in rural areas, or reported poor or fair health. The mean (SD) cancer death rate was 185.9 (24.4) per 100 000 person-years in high-income counties, compared with 204.9 (26.3) and 229.7 (32.9) per 100 000 person-years in medium- and low-income counties, respectively. In mediation models, health risk behaviors (smoking, obesity, and physical inactivity); clinical care factors (unaffordable care and low-quality care); health environments (food insecurity); and health policies (state smoke-free laws and Medicaid payment rates) in aggregate accounted for more than 80% of the income-related disparity. The strongest possible mediators were food insecurity (explaining 19.1% [95% CI, 12.5%-26.5%] of the association between county incomes and cancer deaths), low-quality care (17.9%; 95% CI, 14.0%-21.8%), smoking (12.7%; 95% CI, 9.4%-15.6%), and physical inactivity (12.2%; 95% CI, 9.4%-15.6%). Conclusions and Relevance: There are wide gaps in cancer death rates between low-, medium-, and high-income counties. Future studies are needed to assess whether targeting the possible mediators might ameliorate the substantial socioeconomic cancer disparities.

Indexed as

AgedAged, 80 and overCross-Sectional StudiesExerciseFemaleFood SupplyHealthcare DisparitiesHumansIncomeMaleMiddle AgedNeoplasmsQuality of Health CareRisk FactorsUnited States

Identifiers

PMID30646225
PMCPMC6324449

What OpenQuestion holds

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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.