Evidence map›Paper›PMID 30419236›Full record

ArticleChest2019

The Landscape of US Lung Cancer Screening Services.

Minal S Kale, Juan Wisnivesky, Emanuela Taioli, Bian Liu

Abstract read
In one paragraph

Article in Chest, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Current Evidence for a Lung Cancer Screening Program.Portuguese journal of public health · 2024
    Review
  9. Next-generation digital chest tomosynthesis.Journal of clinical imaging science · 2024
    Article
  10. Article
  11. Training and Dissemination of Lung Cancer Education Curriculum Among Community Health Advisors in the Deep South: a Program Evaluation.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Minal S KaleDivision of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Juan WisniveskyDivision of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Emanuela TaioliInstitute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
Bian LiuInstitute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: bian.liu@mountsinai.org.

Funding

Evaluating the Effectiveness of Lung Cancer Screening in Patients with COPDK07CA187071 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KALE, MINAL S · 2014 to 2018
$843k
NCI NIH HHS K07 CA187071
6 · The paper itself

Abstract

backgroundLow adoption of lung cancer screening is potentially caused by inadequate access to a comprehensive lung cancer screening registry (LCSR), currently a requirement for reimbursement by the Centers for Medicare and Medicaid Services. However, variations in LCSR facilities have not been extensively studied.

methodsWe applied a hierarchical clustering method to a comprehensive database integrating state-level LCSR facility density, defined as the number of facilities per 100,000 at-risk persons, lung cancer outcomes including mortality and stage-specific incidence, and socioeconomic and behavioral factors.

resultsWe found three distinct clusters of LCSR facilities roughly corresponding to the northern (cluster 1), southeastern (cluster 2), and southwestern (cluster 3) states. The southeastern states had the lowest total number of facilities (67 ± 44 in cluster 2, 74 ± 69 in cluster 1, 80 ± 100 in cluster 3), the slowest increase in facilities (23 ± 20 in cluster 2, 26 ± 28 in cluster 1, 27 ± 32 in cluster 3) between 2016 and 2018, and the highest lung cancer burden and current smokers. They ranked second in terms of facility density (2.9 ± 1.0 in cluster 3, 3.8 ± 1.3 in cluster 2, 6.3 ± 2.8 in cluster 1) and increase in facility density (1.1 ± 0.3 in cluster 3, 1.3 ± 0.7 in cluster 2, 2.5 ± 2.5 in cluster 1).

conclusionsWe found substantial state-level variability in LCSR facilities tied to lung cancer burden, socioeconomic characteristics, and behavioral characteristics. Given the known risk factors of lung cancer, correcting a suboptimal distribution of screening programs will likely lead to improved lung cancer outcomes.

Indexed as

Early Detection of CancerHealth Services AccessibilityLung NeoplasmsMedicareAdultAgedCluster AnalysisFemaleHumansIncidenceMaleMiddle AgedNeoplasm StagingQuality ImprovementRegistriesRisk Factorsgeographic disparitieshealth service accesslung cancer screeningMedicareregistry

Identifiers

PMID30419236
PMCPMC6533452

What OpenQuestion holds

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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.