Evidence map›Paper›PMID 39197399›Full record

ArticleCancer epidemiology2024

Lung cancer mortality trends and disparities: A cross-sectional analysis 1999-2020.

Sabrina Soin, Ramzi Ibrahim, Rebecca Wig, Numaan Mahmood, Hoang Nhat Pham, Enkhtsogt Sainbayar, João Paulo Ferreira, Roger Y Kim, See-Wei Low

Abstract read
In one paragraph

Article in Cancer epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Sabrina SoinDepartment of Medicine, University of Arizona Tucson, Tucson, AZ, United States.
Ramzi IbrahimDepartment of Medicine, University of Arizona Tucson, Tucson, AZ, United States.
Rebecca WigDepartment of Medicine, University of Arizona Tucson, Tucson, AZ, United States.
Numaan MahmoodDepartment of Medicine, University of Arizona Tucson, Tucson, AZ, United States.
Hoang Nhat PhamDepartment of Medicine, University of Arizona Tucson, Tucson, AZ, United States.
Enkhtsogt SainbayarDepartment of Medicine, University of Arizona Tucson, Tucson, AZ, United States.
João Paulo FerreiraDepartment of Medicine, University of Arizona Tucson, Tucson, AZ, United States.
Roger Y KimDivision of Pulmonary, Allergy and Critical Care, University of Pennsylvania, Philadelphia, PA, United States.
See-Wei LowDivision of Pulmonary Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, OH, United States. Electronic address: lows5@ccf.org.

Funding

Assessment of a Radiomics-Based Computer-Aided Diagnosis Tool for Cancer Risk Stratification of Pulmonary NodulesK08CA279881 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Roger Yeon-Kyu Kim · 2023 to 2026
$998k
NCI NIH HHS K08 CA279881
6 · The paper itself

Abstract

backgroundLung cancer remains a leading cause of morbidity and mortality in the United States. Given the importance of epidemiological insight on lung cancer outcomes as the foundation for targeted interventions, we aimed to examine lung cancer death trends in the United States in the recent 22-year period, exploring demographic disparities and yearly mortality shifts.

methodsMortality information was obtained from the CDC Wide-ranging Online Data for Epidemiologic Research database from the years 1999-2020. Demographic information included age, sex, race or ethnicity, and area of residence. We performed log-linear regression models to assess temporal mortality shifts and calculated average annual percentage change (AAPC) and compared age-adjusted mortality rates (AAMR) across demographic subpopulations.

resultsA total of 3,380,830 lung cancer deaths were identified. The AAMR decreased from 55.4 in 1999-31.8 in 2020 (p<0.001). Males (AAMR 57.6) and non-Hispanic (NH) (AAMR 47.5) populations were disproportionately impacted compared to females (AAMR 36.0) and Hispanic (AAMR 19.1) populations, respectively. NH Black populations had the highest AAMR (48.5) despite an overall reduction in lung cancer deaths (AAPC -3.3 %) over the study period. Although non-metropolitan regions were affected by higher mortality rates, the annual decrease in mortality among metropolitan regions (AAPC -2.8 %, p<0.001) was greater compared to non-metropolitan regions (AAPC -1.7 %, p<0.001). Individuals living in the Western US (AAPC -3.4 %, p<0.001) experienced the greatest decline in lung cancer mortality compared to other US census regions.

conclusionsOur findings revealed lung cancer mortality inequalities in the US. By contextualizing these mortality shifts, we provide a larger framework of data-driven initiatives for societal and health policy changes for improving access to care, minimizing healthcare inequalities, and improving outcomes.

Indexed as

Lung NeoplasmsAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHealth Status DisparitiesHumansMaleMiddle AgedMortalityUnited StatesYoung AdultDisparitiesEpidemiologyLung cancerMortality

Identifiers

PMID39197399
PMCPMC11414020

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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.