Evidence map›Paper›PMID 41731520›Full record

ArticleEnvironmental health : a global access science source2026

Air pollution and lung cancer: an investigation of county-level residual incidence rates with smoking eliminated.

Douglas Myers, Srijana Mainali, Sanzida Afrin, David Kriebel

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Douglas MyersSchool of Public and Population Health, College of Health Sciences, Boise State University, 1910 University Drive, Boise, Idaho, 83725, USA. douglasmyers@boisestate.edu.
Srijana MainaliSchool of Public and Population Health, College of Health Sciences, Boise State University, 1910 University Drive, Boise, Idaho, 83725, USA.
Sanzida AfrinSchool of Public and Population Health, College of Health Sciences, Boise State University, 1910 University Drive, Boise, Idaho, 83725, USA.
David KriebelLowell Center for Sustainable Production, University of Massachusetts, Lowell 1 University Avenue, Lowell, MA, 01854, USA.

Funding

Heinz Endowments G0801Heinz Endowments, United States G0801
6 · The paper itself

Abstract

backgroundSmoking is the leading cause of lung cancer and this can make it difficult to focus public attention on other preventable causes, like air pollution. To provide easily understandable quantitative information on the relative importance of smoking and air pollution as contributors to lung cancer, we used a two-stage regression method to simulate what would happen to county-level lung cancer rates if smoking were completely eliminated. Residual lung cancer rates would vary substantially among counties after eliminating smoking; the objective of this paper was to identify air pollutants that drive high lung cancer rates post smoking elimination.

methodsWe used multilevel negative binomial regression to model 2019 lung cancer incidence data, provided by the Surveillance Epidemiology and End Results (SEER) Program, at the county level (n = 1,078), to estimate incidence rates with observed smoking prevalence (lagged 20 years) and with smoking eliminated. In a second step, age-standardized county rates were dichotomized into those above and below the top 20th percentile; logistic regression was used to model the effects of specific air pollutants on the odds of having a high residual lung cancer rate after smoking was eliminated. Using 1999 U.S. EPA data on mean concentrations of carcinogenic air pollutants (lagged 20 years) we evaluated the contributions of: PM2.5, diesel exhaust particulate, benzene, polycyclic organic materials (POM), and radon (chosen a priori) to high county lung cancer rates.

resultsConsistent with previous literature, mean PM2.5 concentrations and radon were important contributors to high lung cancer rates after accounting for smoking. Additional lung cancer determinants were mean concentrations of diesel exhaust particulate, benzene, and POM. The contribution of PM2.5 to lung cancer appeared to be largely explained by the 3 more specific pollutants diesel exhaust, benzene, and POM.

conclusionsThe study suggests there are geographic inequities in focusing cancer prevention only on tobacco control because places with high concentrations of carcinogenic air pollutants would still have disproportionately high lung cancer rates, even if smoking could be completely eliminated. These results can be used to identify counties where control of carcinogenic air pollutants might have a particularly important impact on cancer prevention.

Indexed as

Air PollutantsAir PollutionLung NeoplasmsSmokingHumansIncidenceSEER ProgramUnited StatesAir PollutantsAir pollutionDisparitiesEcologicEpidemiologyLung cancerMulti-level

Identifiers

PMID41731520
PMCPMC13036932

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LicenceCC BY-NC-ND
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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.