Evidence map›Paper›PMID 41499175›Full record

ArticleCancer research communications2026

Geospatial Analysis of Accredited Lung Cancer Screening Facilities in Florida Reveals Suboptimal Alignment with High-Risk Populations.

Salah-Eddin R Komrokji, Luba Ayzenshtat, Haleh Sangi-Haghpeykar, Noman Ashraf, Sten H Vermund, Abraham Schwarzberg, K Eric Sommers, Etter Hoang, Eduardo M Sotomayor, Matthew L Anderson

Abstract read
In one paragraph

Article in Cancer research communications, 2026. 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

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

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

10 authors.

Salah-Eddin R KomrokjiTampa General Hospital Cancer Institute , Tampa, Florida.ORCID 0009-0001-3494-8508
Luba AyzenshtatTampa General Hospital Cancer Institute , Tampa, Florida.ORCID 0009-0007-5159-0767
Haleh Sangi-HaghpeykarTampa General Hospital Cancer Institute , Tampa, Florida.ORCID 0009-0000-6408-4563
Noman AshrafTampa General Hospital Cancer Institute , Tampa, Florida.ORCID 0000-0001-8637-1571
Sten H VermundUniversity of South Florida , Tampa, Florida.ORCID 0000-0001-7289-8698
Abraham SchwarzbergTampa General Hospital Cancer Institute , Tampa, Florida.ORCID 0009-0004-4808-6779
K Eric SommersTampa General Hospital Cancer Institute , Tampa, Florida.ORCID 0009-0004-0954-4028
Etter HoangTampa General Hospital Cancer Institute , Tampa, Florida.ORCID 0009-0007-4062-7202
Eduardo M SotomayorTampa General Hospital Cancer Institute , Tampa, Florida.ORCID 0009-0009-5081-3855
Matthew L AndersonTampa General Hospital Cancer Institute , Tampa, Florida.ORCID 0000-0002-2081-4672

Funding

Tampa General Hospital Cancer Institute
6 · The paper itself

Abstract

Low-dose computed tomography (LDCT) plays a critical role in screening individuals for lung cancer. To better understand why its utilization remains poor, we analyzed the geospatial distribution of lung cancer screening programs in Florida to determine whether the distribution of these programs aligns with populations at greatest risk. Accredited programs offering LDCT were identified from public databases maintained by the American College of Radiology (ACR). Age-adjusted incidence and mortality for lung cancer were retrieved from the Florida Cancer Data System and Florida Department of Health. County-level demographic features were retrieved from the 2022 U.S. Census and Florida Department of Health. Univariate Pearson correlations and Kruskal-Wallis analyses revealed that screening programs in Florida are more likely to be located in counties with greater population density and a greater proportion of college-educated residents, physicians per capita, and residents with private insurance. In contrast, the number of facilities correlated inversely with the proportion of current smokers, White residents, and lung cancer incidence and mortality. In multivariate analyses, only smoking remained significantly associated with disease-specific incidence or mortality. No association between outcomes and the number of facilities in each county was identified. In conclusion, these findings indicate that the geographic distribution of certified screening programs in Florida does not align with lung cancer burden. Moving forward, strategies to address this mismatch may be helpful for improving the early detection of lung cancer. SIGNIFICANCE: Our findings indicate that there is a significant misalignment between the distribution of ACR-accredited facilities offering LDCT for screening and the regions of Florida where the incidence and mortality of lung cancer are greatest. In contrast to previous reports examining national data, our data suggest that these geographic disparities limit the ability of populations most vulnerable to lung cancer to ACR-certified screening.

Indexed as

Early Detection of CancerLung NeoplasmsMass ScreeningFemaleFloridaHumansIncidenceMaleRisk FactorsTomography, X-Ray Computed

Identifiers

PMID41499175
PMCPMC12885112

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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.