Evidence map›Paper›PMID 40795916›Full record

ArticleJournal of the National Cancer Institute. Monographs2025

Lung cancer incidence trends by histology and individual- and county-level sociodemographic characteristics in the United States from 2000 to 2019.

Jihyoun Jeon, Pianpian Cao, Rafael Meza

Abstract read
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Article in Journal of the National Cancer Institute. Monographs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 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

3 authors.

Jihyoun JeonDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0001-7003-3412
Pianpian CaoDepartment of Public Health, Purdue University, West Lafayette, IN, United States.ORCID 0000-0001-8886-9672
Rafael MezaIntegrative Oncology, British Columbia Cancer Research Institute, Vancouver, BC, Canada.ORCID 0000-0002-3472-0730

Funding

Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment InterventionsU01CA253858 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2020 to 2025
$8.4M
Personalized screening for lung cancer: the importance of co-existing chronic conditions to clinical practice and policyR01CA249506 · NCI · UNIVERSITY OF FLORIDA · PI BRAITHWAITE, DEJANA K, GOULD, MICHAEL K · 2020 to 2025
$3.3M
NCI NIH HHS R01 CA249506NCI NIH HHS U01 CA253858
6 · The paper itself

Abstract

backgroundLung cancer incidence has been decreasing in the United States, largely due to smoking reductions. However, adenocarcinoma incidence has been relatively stable compared with other histological subtypes. Histology-specific lung cancer incidence varies by key sociodemographic characteristics, but trends are not well characterized.

methodsSEER 17 registry data was used to calculate annual age-adjusted lung cancer incidence over 2000-2019 by histology stratified by individual-level sex and race/ethnicity and county-level education, poverty, or urbanicity. Histology was categorized into 4 groups: adenocarcinoma, small cell, squamous cell, and other histologies. Age-adjusted incidence rates were computed using the 2000 US Standard Population. Incidence trends were characterized using Joinpoint regression.

resultsFor most histological subtypes, lung cancer incidence has been decreasing since 2000 in both sexes and all racial/ethnic groups, with some variations. However, lung adenocarcinoma incidence was relatively constant. Lung cancer incidence decreases with increasing education and income. It is lower in urban vs rural areas across histological subtypes, except for adenocarcinoma among females. Counties with higher education levels or lower poverty rates experienced faster declines in small cell and squamous cell lung cancer incidence in recent years. The incidence of small cell and squamous cell lung cancer has been decreasing more rapidly in urban than rural areas.

conclusionDisadvantaged groups have higher lung cancer rates and slower decreases in incidence over time for most histological subtypes, resulting in widening disparities. This highlights the need for targeted tobacco and lung cancer prevention strategies to accelerate decreases in vulnerable populations.

Indexed as

Lung NeoplasmsAdultAgedFemaleHumansIncidenceMaleMiddle AgedSEER ProgramSociodemographic FactorsSocioeconomic FactorsUnited States

Identifiers

PMID40795916
PMCPMC12342868

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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.