Evidence map›Paper›PMID 38881910›Full record

ArticleTranslational cancer research2024

Characteristics of lung cancer screening eligible population in the US and prediction of the eligibility with simplified criteria.

Marvin Okon, Joel Williams, Khoa Truong, Qingzhao Yu, Sarah Griffin, Lu Zhang

Abstract read
In one paragraph

Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Marvin OkonDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Joel WilliamsDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Khoa TruongDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Qingzhao YuBiostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Sarah GriffinDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Lu ZhangDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In 2021, updates to the lung cancer screening (LCS) guidelines extended the eligibility to include younger individuals and those with lower lifetime smoking intensity. A significant challenge in the LCS implementation is identifying eligible individuals because lifetime smoking intensity, a key criterion of current guidelines, is typically unavailable in electronic health records and difficult to assess accurately. This study aimed to (I) examine the characteristics of the eligible population in the US based on current guidelines and (II) evaluate the performance of five simplified criteria as alternative tools for predicting LCS eligibility. Methods: National Health and Nutrition Examination Survey (NHANES) 2013-2018 data were used. Five simplified criteria were: (I) ever smoker, defined as an individual with any positive smoking history; (II) current or former smoker, an individual with any positive smoking history or who quit smoking within 15 years; (III) current smoker, an individual currently smoking; (IV) current smoker, an individual currently smoking >0.5 packs per day (ppd); (V) current smoker, a person currently smoking >1 ppd. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated. The complex survey design was considered. Results: About 16.70 million individuals (representing 16.01% of population aged 50-80 years) were eligible for LCS in the US. The percentage of LCS eligibility was higher among people who were younger, male, non-Hispanic White, less educated, single, not insured, with poorer health status and lower socioeconomic status. Except for the criterion of current smoker with >1 ppd having low sensitivity (0.08), other criteria had sensitivity ranging between 0.45 and 1.00. The accuracy of the five criteria used ranged between 0.70 and 0.91. Conclusions: Individuals with less favorable social and clinical characteristics have higher chances of being eligible for LCS, potentially amplifying disparities in LCS utilization. Simplified criteria can be used as prescreening tools to identify target populations, which could facilitate LCS implementation at the population level.

Indexed as

disparities in lung cancer screening (disparities in LCS)Lung cancer screening (LCS)National Health and Nutrition Examination Survey (NHANES)simplified lung cancer screening criteria (simplified LCS criteria)USPSTF guidelines

Identifiers

PMID38881910
PMCPMC11170509

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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.