Evidence map›Paper›PMID 40912293›Full record

ArticleChest2026

Comparison of Underlying Risk of Developing and Dying From Lung Cancer in Screened Populations.

M Patricia Rivera, Thad Benefield, Danielle D Durham, Jennifer L Lund, Daniel S Reuland, Li C Cheung, Lindsay M Lane, Hormuzd A Katki, Louise M Henderson

Abstract readComparative Study
In one paragraph

Article in Chest, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

9 authors.

M Patricia RiveraDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Rochester University Medical Center, Rochester, NY; Wilmot Cancer Institute, University of Rochester, Rochester, NY. Electronic address: patricia_rivera@urmc.rochester.edu.
Thad BenefieldDepartment of Radiology, The University of North Carolina, Chapel Hill, NC.
Danielle D DurhamDepartment of Radiology, The University of North Carolina, Chapel Hill, NC.
Jennifer L LundLineberger Comprehensive Cancer Center, The University of North Carolina, Chapel Hill, NC; Department of Epidemiology, The University of North Carolina, Chapel Hill, NC.
Daniel S ReulandLineberger Comprehensive Cancer Center, The University of North Carolina, Chapel Hill, NC; Department of Medicine, The University of North Carolina, Chapel Hill, NC.
Li C CheungBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Washington, DC.
Lindsay M LaneDepartment of Radiology, The University of North Carolina, Chapel Hill, NC.
Hormuzd A KatkiBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Washington, DC.
Louise M HendersonDepartment of Radiology, The University of North Carolina, Chapel Hill, NC; Lineberger Comprehensive Cancer Center, The University of North Carolina, Chapel Hill, NC.

Funding

North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
Evaluating Lung Cancer Screening Patterns and Outcomes through a North Carolina RegistryR01CA212014 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Louise Henderson · 2017 to 2026
$5.4M
Comorbidity and Functional Status in a Population Undergoing Lung Cancer ScreeningR01CA251686 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HENDERSON, LOUISE, RIVERA, MARIA PATRICIA · 2020 to 2023
$1.5M
Applying causal inference methods to improve estimation of the real-world benefits and harms of lung cancer screening - NCI Diversity SupplementR01CA277756 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Louise Henderson, Jennifer Lund · 2023 to 2026
$1.5M
NCATS NIH HHS UM1 TR004406NCI NIH HHS R01 CA212014NCI NIH HHS R01 CA251686NCI NIH HHS R01 CA277756
6 · The paper itself

Abstract

backgroundTrial participants typically are healthier than the general population. Differences in underlying characteristics between the population undergoing lung cancer screening (LCS) and LCS trial participants may alter the benefits of LCS. RESEARCH QUESTION: Does the risk of lung cancer developing and death resulting differ between trial participants and the general population? STUDY DESIGN AND

methodsUsing data from the (1) the North Carolina Lung Screening Registry (NCLSR), (2) the 2022 Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System (BRFSS) Lung Cancer Screening Module, and (3) the National Lung Screening Trial (NLST), we estimated the 5-year probability of lung cancer developing and death resulting if patients were not screened using publicly available macros. Using Cohen's D, we compared these metrics in NCLSR and BRFSS populations with those in NLST participants.

resultsBRFSS and NCLSR populations were older, had higher rates of COPD and prior history of cancer, and higher risk of lung cancer developing and death resulting compared with NLST participants. Although NCLSR populations were more likely to be currently smoking, median smoking exposure was similar among all groups. Median 5-year lung cancer risk was 21.2 per 1,000 NLST participants (interquartile range,13.0-35.2 per 1,000 NLST participants) compared with 46.1 per 1,000 2013 BRFSS participants (Cohen's D = 0.67515), 34.5 per 1,000 2021 BRFSS participants (Cohen's D = 0.47813), 36.5 per 1,000 2013 NCLSR participants (Cohen's D = 0.07748), and 32.3 per 1000 2021 NCLSR participants (Cohen's D = 0.48289). Median 5-year probability of dying of lung cancer if not screened showed similar patterns, with lowest rates among NLST participants at 12.5 deaths per 1,000 participants vs BRFSS and NCLSR populations.

interpretationOur results showed that NCLSR and BRFSS populations have similar smoking exposure as NLST participants, but higher prevalence of lung cancer risk factors, lung cancer risk scores, and risk of death resulting from lung cancer if not screened. Monitoring LCS in the general population is crucial because compared with trial participants, individuals in the general population are older and have more comorbidities, raising concerns about potential LCS harms. However, they have a higher risk of dying of lung cancer if not screened.

Indexed as

Early Detection of CancerLung NeoplasmsAgedBehavioral Risk Factor Surveillance SystemFemaleHumansMaleMiddle AgedNorth CarolinaRegistriesRisk AssessmentRisk FactorsUnited Statescomorbiditieslung cancer risk scorelung cancer screeningrisk of dying of lung cancer

Identifiers

PMID40912293
PMCPMC12828914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.