Evidence map›Paper›PMID 42395284›Full record

ArticleFrontiers in public health2026

Who is more likely to receive up-to-date lung cancer screening? Identifying key barriers using principal component analysis and SHAP modeling: a weighted cross-sectional analysis of the 2024 BRFSS.

Shanshan Li, Jinxian He, Fang Li, Chao Jin, Hui Tian

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

5 authors.

Shanshan LiThoracic Surgery, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Jinxian HeThoracic Surgery, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Fang LiThoracic Surgery, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Chao JinThoracic Surgery, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Hui TianThoracic Surgery, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Up-to-date lung cancer screening (UTD-LCS) uptake remains low. This cross-sectional study examines how social determinants and physical or mental well-being are associated with UTD-LCS using multiple analytical methods with appropriate survey weighting. Methods: We analyzed 6,234 eligible adults aged 50-79 from the 2024 Behavioral Risk Factor Surveillance System (BRFSS), applying complex survey weights throughout all analyses. Principal Component Analysis (PCA) was used to combine 14 social determinants and health indicators into latent dimensions. Partitioning Around Medoids (PAM) clustering stratified the population into distinct subgroups based on the optimal number of clusters determined by silhouette coefficients, and SHapley Additive exPlanations (SHAP) were employed to visualize the specific predictors of screening uptake within each cluster. A sensitivity analysis was conducted excluding adults aged 78-79 to assess the potential implications of the Medicare coverage gap on screening behaviors. Results: The weighted UTD-LCS uptake was 20.0% (SE = 1.1%). PCA identified four components explaining 56.0% of the variance: Socioeconomic Resources, Physical Health, Psychosocial Health, and Employment & Neighborhood. In the fully adjusted weighted logistic regression, only Socioeconomic Resources was independently associated with screening (OR = 0.822, 95% CI: 0.713-0.948, Conclusion: Socioeconomic deprivation is the primary barrier to UTD-LCS. While poor physical health prompts screening, the Medicare coverage gap may potentially hinder this pathway.

Indexed as

Early Detection of CancerLung NeoplasmsAgedBehavioral Risk Factor Surveillance SystemCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrincipal Component AnalysisSocial Determinants of HealthUnited StatesBRFSScluster analysislung cancer screeningSHAPsocial determinants of health

Identifiers

PMID42395284
PMCPMC13323023

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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.