Evidence map›Paper›PMID 36430011›Full record

ArticleInternational journal of environmental research and public health2022

If Smoking Were Eliminated, Which US Counties Would Still Have High Rates of Smoking-Related Cancers?

Douglas J Myers, David Kriebel

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

2 authors at 2 institutions in 1 country.

Douglas J MyersSchool of Public and Population Health, College of Health Sciences, Boise State University, Boise, ID 83725, USA.
David KriebelLowell Center for Sustainable Production, University of Massachusetts Lowell, Lowell, MA 01854, USA.
Boise State University · USUniversity of Massachusetts Lowell · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto characterize the county variability of the impact of smoking elimination on rates of smoking-related cancers and explore whether common environmental indices predicted which metropolitan counties would experience high rates of smoking-related cancers even after smoking was eliminated.

methodsSurveillance, Epidemiology, and End Results Program (SEER) and Environmental Protection Agency (EPA) data were obtained. County level cancer rates for 257 metropolitan SEER counties, including the observed rates and those predicted after eliminating smoking, were derived via multilevel regression modeling and age standardized to the 2016 SEER population. Associations between the EPA's Environmental Quality Index (EQI) scores and "Low Benefit" counties (counties that remain above the top 20th percentile of post-smoking elimination incidence rates) were explored via logistic regression.

resultsReductions in smoking-related cancer incidence ranged from 58.4 to 3.2%. The overall EQI (OR = 1.96, 95% CI [1.34, 2.86]) and the air quality index (OR = 5.99, 95% CI [3.20, 11.22]) scores predicted higher odds of being a "Low Benefit" county.

conclusionsSubstantial inequities in the post-smoking elimination cancer rates were observed; air pollution appears to be a primary explanation for this. Cancer prevention in metropolitan counties with high levels of air pollution should prioritize pollution control at least as much as tobacco control.

Indexed as

Air PollutionNeoplasmsHumansIncidenceSmokingTobacco Smokingcounty level analysisenvironmental pollutionenvironmental quality indexsmoking-related cancers

Identifiers

PMID36430011
PMCPMC9690633
OpenAlexW4309737067

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.