Evidence map›Paper›PMID 40045229›Full record

ArticleBMC public health2025

Lung cancer disparities in rural, persistent poverty counties: a secondary data analysis.

Veronica Bernacchi, Kelly Hirko, Eric Adjei Boakye, Samantha Tam, Todd Lucas, Jennifer L Moss

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
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  7. Review
  8. Cancer Burden in Persistent Poverty Areas across the Cancer Continuum: A Scoping Review to Identify Gaps and Opportunities for Future Research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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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.

Veronica BernacchiMichigan State University College of Nursing, 1355 Bogue St, East Lansing, MI, 48823, USA. bernacc3@msu.edu.
Kelly HirkoDepartment of Epidemiology and Biostatistics, Michigan State College of Human Medicine, East Lansing, MI, USA.
Eric Adjei BoakyeDepartment of Otolaryngology, Henry Ford Cancer Institute, Detroit, MI, USA.
Samantha TamDepartment of Otolaryngology, Henry Ford Cancer Institute, Detroit, MI, USA.
Todd LucasDepartment of Public Health, Michigan State University College of Human Medicine, Flint, MI, USA.
Jennifer L MossDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the US, lung cancer burden is greater in counties that are either rural or in persistent poverty. This study examined lung cancer risk (e.g., smoking), incidence, and mortality across four county types defined by cross-classification of rurality and persistent poverty.

methodsWe conducted a secondary analysis of county characteristics and lung cancer risk, incidence and mortality. We used data from USDA to classify counties according to rurality (using rural-urban continuum codes) and persistent poverty (i.e., 20% + of residents living below the poverty line for 30 + years). We used publicly-available data to calculate mean county-level prevalence of smoking among adults (in 2019), lung cancer incidence (2015-2019), and lung cancer mortality (2015-2019) across county types. Beta and binomial regression models assessed differences in smoking, lung cancer incidence, and lung cancer mortality by rurality and persistent poverty.

resultsAmong U.S. counties, 1,115 were urban, non-persistent poverty, 1,675 were rural, non-persistent poverty, 52 were urban, persistent poverty, and 301 were rural, persistent poverty. Smoking, lung cancer incidence, and lung cancer mortality were higher in rural counties and in persistent poverty counties than in their comparison counties. Counties that were both rural and persistent poverty had the highest rates of smoking, lung cancer incidence, and lung cancer mortality. Persistent poverty and rurality interacted in their relationship with smoking prevalence (p < 0.01), and lung cancer mortality (p < 0.10).

conclusionsSmoking, lung cancer incidence, and lung cancer mortality are highest in counties that are both rural and persistent poverty, suggesting an urgent need to develop targeted lung cancer interventions in these communities.

Indexed as

Health Status DisparitiesLung NeoplasmsPovertyRural PopulationAdultAgedFemaleHumansIncidenceMaleMiddle AgedSecondary Data AnalysisSmokingUnited StatesCancer disparitiesLung cancerPersistent povetyRural

Identifiers

PMID40045229
PMCPMC11883981

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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.