Evidence map›Paper›PMID 29552458›Full record

ArticlePreventive medicine reports2018

Understanding lung cancer screening behavior: Racial, gender, and geographic differences among Indiana long-term smokers.

Lisa Carter-Harris, James E Slaven, Patrick O Monahan, Rivienne Shedd-Steele, Nasser Hanna, Susan M Rawl

3 registry-linked trialsAbstract read
In one paragraph

Article in Preventive medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 72 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 4 pooled it
–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.

NCT05824273 nacompletednot on this mapstarted 2023, after this paper: background citation

Leveraging Social Media to Increase Lung Cancer Screening Awareness, Knowledge and Uptake in High-Risk Populations

TypeinterventionalSponsorHackensack Meridian HealthRan2023 to 2024Enrolled512ConditionsLung CancerArmsLungTalk, Non-tailored intervention - Standard of practice
NCT06605534 narecruitingnot on this mapstarted 2024, after this paper: background citation

LEAD Pilot Study: Leveraging the Emergency Department to Address SDOH and Reduce Lung Cancer Screening Disparities

TypeinterventionalSponsorHackensack Meridian HealthRan2024 to 2026Enrolled100ConditionsLung CancerArmsLungTalk, Non-tailored lung screening
NCT07792824 nanot yet recruitingnot on this mapstarted 2027, after this paper: background citation

CLEAR-LUNG (Community-Level Effectiveness to Advance Reach in Lung Cancer Screening)

TypeinterventionalSponsorHackensack Meridian HealthRan2027 to 2032Enrolled400ConditionsLung CancerArmsWitness Project Lung, General Educational Program
3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  8. Success and challenges of tobacco control interventions among American Indians in California.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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  16. Health Beliefs and Adherence to Lung Cancer Screening in a Diverse Safety-Net Population.Journal of the National Comprehensive Cancer Network : JNCCN · 2026
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12 more citing papers are in PubMed but not listed here.

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

6 authors.

Lisa Carter-HarrisIndiana University School of Nursing, Indianapolis, IN, United States.
James E SlavenIndiana University School of Medicine, Indianapolis, IN, United States.
Patrick O MonahanIndiana University School of Medicine, Indianapolis, IN, United States.
Rivienne Shedd-SteeleIndiana University Simon Cancer Center, Indianapolis, IN, United States.
Nasser HannaIndiana University School of Medicine, Indianapolis, IN, United States.
Susan M RawlIndiana University School of Nursing, Indianapolis, IN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer screening is a relatively new screening option. Inequalities related to screening behavior have been documented in other types of cancer screening. Because stage at presentation drives mortality in lung cancer, it is critical to understand factors that influence screening behavior in lung cancer screening in order to intervene. However, we must first understand where disparities exist in lung cancer screening participation in order to effectively guide intervention efforts. Therefore, the purpose of this study was to determine the association of sociodemographic (including key disparity-related variables) and knowledge with lung cancer screening behavior. This cross-sectional, descriptive study used survey methodology to collect data from 438 screening-eligible individuals in the state of Indiana between January and February 2017 and measured sociodemographic variables and knowledge about lung cancer and screening. Key sociodemographic and health status characteristics associated with screening behavior included race, geographic area of residence, income, health insurance, and family history of lung cancer. Of the variables generally reflective of disparities, key differences were noted by race and geographic area of residence with total knowledge scores as well as screening behavior, respectively. Results indicate key differences in race and geographic area of residence that may perpetuate screening behavior disparities. We have a unique opportunity at this early implementation stage in lung cancer screening to learn what variables influence screening behavior from our target patient population. This knowledge can be used to design equitable patient outreach programs, meaningful, tailored patient engagement materials, and effective patient-clinician decision support tools.

Indexed as

BehaviorDisparitiesLong-term smokersLung cancer screening

Identifiers

PMID29552458
PMCPMC5852404

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.