Evidence map›Paper›PMID 38893265›Full record

ArticleCancers2024

Lung Cancer and Air Quality in a Large Urban County in the United States.

Hollis Hutchings, Qiong Zhang, Sue C Grady, Jessica Cox, Andrew Popoff, Carl P Wilson, Shangrui Zhu, Ikenna Okereke

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Hollis HutchingsDepartment of Surgery, Henry Ford Health, Detroit, MI 48202, USA.
Qiong ZhangDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI 48202, USA.
Sue C GradyDepartment of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI 48824, USA.
Jessica CoxSchool of Medicine, University of Texas Medical Branch, Galveston, TX 77555, USA.
Andrew PopoffDepartment of Surgery, Henry Ford Health, Detroit, MI 48202, USA.
Carl P WilsonDepartment of Public Health Sciences, Henry Ford Health, Detroit, MI 48202, USA.ORCID 0009-0001-1393-3489
Shangrui ZhuDepartment of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI 48824, USA.
Ikenna OkerekeDepartment of Surgery, Henry Ford Health, Detroit, MI 48202, USA.ORCID 0000-0001-5652-985X

Funding

Henry Ford Health + Michigan State University Health Sciences HFH-MSU #1
6 · The paper itself

Abstract

Lung cancer is the leading cancer-related killer in the United States. The incidence varies geographically and may be affected by environmental pollutants. Our goal was to determine associations within time series for specific air pollutants and lung cancer cases over a 33-year period in Wayne County, Michigan, controlling for population change. Lung cancer data for Wayne County were queried from the Michigan Cancer Registry from 1985 to 2018. Air pollutant data were obtained from the United States Environmental Protection Agency from 1980 to 2018. Autoregressive distributed lag (ARDL) models were estimated to investigate time lags in years between specific air pollution levels and lung cancer development. A total of 58,866 cases of lung cancer were identified. The mean age was 67.8 years. Females accounted for 53 percent of all cases in 2018 compared to 44 percent in 1985. Three major clusters of lung cancer incidence were detected with the most intense clusters in downtown Detroit and the heavily industrialized downriver area. Sulfur dioxide (SO

Indexed as

air pollutionautoregressive distributed lag models (ARDLs)lung cancerlung cancer screeningMichigan, USA

Identifiers

PMID38893265
PMCPMC11172138

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.