Evidence map›Paper›PMID 31634914›Full record

ArticleAnnals of internal medicine2019

Life-Gained-Based Versus Risk-Based Selection of Smokers for Lung Cancer Screening.

Li C Cheung, Christine D Berg, Philip E Castle, Hormuzd A Katki, Anil K Chaturvedi

Registry-linked trialOpen access · greenAbstract readComparative Study
In one paragraph

Article in Annals of internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07073898 (Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial), which is not on this map. Cited by 73 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 3 pooled it
8.5field-weighted citation impact, top 2% of its field
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.

NCT07073898 nacompletednot on this mapstarted 2025, after this paper: background citation

Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial

TypeinterventionalSponsorUniversity of UtahRan2025 to 2026Enrolled65ConditionsLung CancerArmsRepeated Text Messages (TM+), Conversational Agent (CA), Educational Video, Proactive Patient Navigation (PPN), Reactive Patient Navigation (RPN)
3 · Its place in the literature

Who cites it

73 citing papers in PubMed, 3 syntheses or guidelines pooled it, 114 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Guideline
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Improving lung cancer screening diagnostic efficiency.Current opinion in pulmonary medicine · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Updates in Lung Cancer Screening: A Decade of Evidence.Seminars in respiratory and critical care medicine · 2025
    Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Li C CheungNational Cancer Institute, Bethesda, Maryland (L.C.C., C.D.B., H.A.K., A.K.C.).
Christine D BergNational Cancer Institute, Bethesda, Maryland (L.C.C., C.D.B., H.A.K., A.K.C.).
Philip E CastleAlbert Einstein School of Medicine, Bronx, New York (P.E.C.).
Hormuzd A KatkiNational Cancer Institute, Bethesda, Maryland (L.C.C., C.D.B., H.A.K., A.K.C.).
Anil K ChaturvediNational Cancer Institute, Bethesda, Maryland (L.C.C., C.D.B., H.A.K., A.K.C.).
National Cancer Institute · USAlbert Einstein College of Medicine · US

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Background: Although risk-based selection of ever-smokers for screening could prevent more lung cancer deaths than screening according to the U.S. Preventive Services Task Force (USPSTF) guidelines, it preferentially selects older ever-smokers with shorter life expectancies due to comorbidities. Objective: To compare selection of ever-smokers for screening based on gains in life expectancy versus lung cancer risk. Design: Cohort analyses and model-based projections. Setting: U.S. population of ever-smokers aged 40 to 84 years. Participants: 130 964 National Health Interview Survey participants, representing about 60 million U.S. ever-smokers during 1997 to 2015. Intervention: Annual computed tomography (CT) screening for 3 years versus no screening. Measurements: Estimated number of lung cancer deaths averted and life-years gained after development of a mortality model. Results: Using the calibrated and validated mortality model in U.S. ever-smokers aged 40 to 84 years and selecting 8.3 million ever-smokers to match the number selected by the USPSTF criteria in 2013 to 2015, the analysis estimated that life-gained-based selection would increase the total life expectancy from CT screening (633 400 vs. 607 800 years) but prevent fewer lung cancer deaths (52 600 vs. 55 000) compared with risk-based selection. The 1.56 million persons selected by the life-gained-based strategy but not the risk-based strategy were younger (mean age, 59 vs. 75 years) and had fewer comorbidities (mean, 0.75 vs. 3.7). Limitation: Estimates are model-based and assume implementation of lung cancer screening with short-term effectiveness similar to that from trials. Conclusion: Life-gained-based selection could maximize the benefits of lung cancer screening in the U.S. population by including ever-smokers who have both high lung cancer risk and long life expectancy. Primary Funding Source: Intramural Research Program of the National Cancer Institute, National Institutes of Health.

Indexed as

AdultAgedAged, 80 and overAge FactorsEarly Detection of CancerFemaleHumansLife ExpectancyLung NeoplasmsMaleMiddle AgedRisk AssessmentRisk FactorsSmokingTomography, X-Ray ComputedUnited States

Identifiers

PMID31634914
PMCPMC7191755
OpenAlexW2982270446

What OpenQuestion holds

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Registered trials

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.