Evidence map›Paper›PMID 42851073›Full record

ArticleCancer2026

Who is eligible for lung cancer screening, and where are they? National subpopulation estimates of people eligible for lung cancer screening.

David Haynes, Jihyoun Jeon, Gerard Silvestri, Christine Lambert, Rafael Meza, R Adams Dudley, Anne Melzer, Arianne Baldomero, Anne Joseph, Abbie Begnaud

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer, 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

10 authors.

David HaynesInstitute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-6858-428X
Jihyoun JeonSchool of Public Health University of Michigan, Ann Arbor, Michigan, USA.
Gerard SilvestriDepartment of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Christine LambertDepartment of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Rafael MezaSchool of Public Health University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-1076-5037
R Adams DudleyDepartment of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Anne MelzerDepartment of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Arianne BaldomeroDepartment of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Anne JosephDepartment of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Abbie BegnaudDepartment of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota, USA.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
NCATS NIH HHS UL1TR002494
6 · The paper itself

Abstract

backgroundThe utilization of lung cancer screening services is less than 20%. There are a myriad of barriers at the patient, provider, and health care system levels that account for such low uptake. One reason lung cancer screening rates remain low is that identifying who is eligible is challenging at the patient and at the population level because a quantitative estimate of smoking history (i.e., 20 pack-years of cigarette smoking exposure) is required to determine eligibility. This pack-year determination is often missing from clinical documentation and is also absent in large health survey data.

methodsThe Smoking History Generator was integrated into national cross-sectional surveys to estimate smoking exposure intensity and duration for older US adults who have smoked. National estimates, at the substate level, for the number of individuals eligible for lung cancer screening are presented.

resultsA publicly available dataset that enables researchers to estimate the population eligible for lung cancer screening at the census tract level was developed. Additionally, this approach permits exploration and description of the eligible population by age, sex, racial/ethnic groups, and current or former smoking status.

conclusionThe dataset can be aggregated by geographic location (e.g., county, state) and filtered by age range, sex, race/ethnicity, and smoking status to estimate specific subpopulations eligible for lung cancer screening. This dataset will greatly enhance future programmatic efforts to identify and direct resources to individuals eligible for lung cancer screening.

Indexed as

Early Detection of CancerLung NeoplasmsMass ScreeningAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSmokingUnited Statescancer screeninghealth geographylung cancersmall area estimates

Identifiers

PMID42851073

What OpenQuestion holds

Textmetadata
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.