Evidence map›Paper›PMID 41405566›Full record

ArticleCancer2025

Examining trends in lung cancer screening over 10 years: Eligibility, participation, cancer detection, and quality implications.

Debra P Ritzwoller, Nikki M Carroll, Kris F Wain, Brian P Hixon, Roger Y Kim, Mahesh Maiyani, Julie S Steiner

Abstract read
In one paragraph

Article in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Debra P RitzwollerInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0001-7116-8458
Nikki M CarrollInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0003-1905-3287
Kris F WainInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA.
Brian P HixonInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA.
Roger Y KimDivision of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Mahesh MaiyaniInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA.
Julie S SteinerInstitute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA.

Funding

Center for Research to Optimize Precision Lung Cancer Screening in Diverse PopulationsUM1CA221939 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI RITZWOLLER, DEBRA P, VACHANI, ANIL · 2018 to 2023
$15.3M
Assessment of a Radiomics-Based Computer-Aided Diagnosis Tool for Cancer Risk Stratification of Pulmonary NodulesK08CA279881 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Roger Yeon-Kyu Kim · 2023 to 2026
$998k
Natural History of Lung Cancer Diagnosed Within and Across Diverse Health Systems Implementing Lung Cancer ScreeningR50CA251966 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CARROLL, NIKKI · 2020 to 2024
$751k
NCI NIH HHS K08 CA279881NCI NIH HHS K08CA279881NCI NIH HHS R50 CA251966NCI NIH HHS R50CA251966NCI NIH HHS UM1 CA221939NCI NIH HHS UM1CA221939
6 · The paper itself

Abstract

backgroundMore than a decade ago, the National Lung Screening Trial led to the recommendation of low-dose computed tomography (CT) for lung cancer screening (LCS). However, few studies have explored how program changes and external factors affect patient outcomes.

methodsThis retrospective study included LCS-eligible individuals from Kaiser Permanente Colorado between May 1, 2014, and December 31, 2024. Rates and proportions of LCS orders, completions, adherence to recommended follow-up after baseline screening, and lung cancer yield were calculated. Multivariable log-binomial regression models estimated the factors associated with baseline LCS completion.

resultsOf 23,602 LCS-eligible individuals, 13,576 (58%) received a baseline LCS order and 8621 (37% of eligible; 64% of orders) completed screening. LCS completion was more likely among Asian/Native Hawaiian/Pacific Islander or Black races, and individuals who formerly smoked, had a 20- to 29-pack-year smoking history, >1 specialty care visit, a family history of lung cancer, or a greater comorbidity burden. Overall adherence to recommended follow-up was 62%; patients with a Lung CT Screening Reporting and Data System (Lung-RADS) score of 4B or 4X had the highest adherence at 88%. LCS yielded 424 cases of lung cancer (5% of screened), with 68% at stage I, II, or IIIA. Cumulative incidence among those with a positive Lung-RADS score was 20% at 10 years. Secular changes in LCS outcomes correlated with changes to LCS navigation processes, technology, and the coronavirus disease 2019 pandemic.

conclusionsThis evaluation of a decade of robust LCS data within a community setting highlights the need for established national quality metrics that incentivize health systems to conduct ongoing program monitoring, evaluation, and adaptation to optimize screening benefits.

Indexed as

Early Detection of CancerLung NeoplasmsMass ScreeningAgedColoradoFemaleHumansMaleMiddle AgedRetrospective StudiesTomography, X-Ray Computedcancer yieldearly detection of cancerguideline adherencelung cancer screening

Identifiers

PMID41405566
PMCPMC12710689

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LicenceCC BY-NC-ND
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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.