Evidence map›Paper›PMID 32160967›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2020

Potential Impact of Cessation Interventions at the Point of Lung Cancer Screening on Lung Cancer and Overall Mortality in the United States.

Pianpian Cao, Jihyoun Jeon, David T Levy, Jinani C Jayasekera, Christopher J Cadham, Jeanne S Mandelblatt, Kathryn L Taylor, Rafael Meza

Open access · greenAbstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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.

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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Effect of a Personalized Tobacco Treatment Intervention on Smoking Abstinence in Individuals Eligible for Lung Cancer Screening.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024
    Trial
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  6. Article
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  10. Article
  11. Review
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  13. Updates in Lung Cancer Screening: A Decade of Evidence.Seminars in respiratory and critical care medicine · 2025
    Review
  14. Natural history models for lung Cancer: A scoping review.Lung cancer (Amsterdam, Netherlands) · 2025
    Article
  15. "Because That is the Right Thing to do": A Focus Group Study of Australian Expert Perspectives on Offering Smoking Cessation Support in Lung Cancer Screening.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
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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

8 authors at 2 institutions in 1 country.

Pianpian CaoDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan.
Jihyoun JeonDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan.
David T LevyCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia.
Jinani C JayasekeraCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia.
Christopher J CadhamCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia.
Jeanne S MandelblattCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia.
Kathryn L TaylorCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia.
Rafael MezaDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan. Electronic address: rmeza@umich.edu.
Georgetown University · USUniversity of Michigan · US

Funding

Research Project 3: Modeling the Impact of Tobacco Control Policies on Polytobacco Use and Associated Health DisparitiesU54CA229974 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Theodore Levy, David Mendez Emilien · 2018 to 2026
$39.2M
Comparative Modeling of Lung Cancer Prevention and Control PoliciesU01CA199284 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2015 to 2019
$8.4M
Bio-behavioral Research At The Intersection of Cancer and AgingR35CA197289 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2015 to 2021
$6.2M
Integrating Evidence-Based Smoking Cessation Interventions into Lung Cancer Screening Programs: A Randomized TrialR01CA207228 · NCI · GEORGETOWN UNIVERSITY · PI TAYLOR, KATHRYN L · 2016 to 2020
$3.5M
Optimizing Personalized Care Using Economic Studies of Genomic Testing: Supporting Patient-ProviderU01CA183081 · NCI · GEORGETOWN UNIVERSITY · PI LIEU, TRACY A, MANDELBLATT, JEANNE · 2013 to 2017
$2.6M
A Simulation Model-based Framework to Support Oncology Guidelines and PracticeK99CA241397 · NCI · GEORGETOWN UNIVERSITY · PI JAYASEKERA, JINANI · 2020 to 2021
$351k
NCI NIH HHS K99 CA241397NCI NIH HHS R01 CA207228NCI NIH HHS R35 CA197289NCI NIH HHS U01 CA183081NCI NIH HHS U01 CA199284NCI NIH HHS U54 CA229974
6 · The paper itself

Abstract

introductionAnnual lung cancer screening with low-dose computed tomography is recommended for adults aged 55 to 80 years with a greater than or equal to 30 pack-year smoking history who currently smoke or quit within the past 15 years. The 50% who are current smokers should be offered cessation interventions, but information about the impact of adding cessation to screening is limited.

methodsWe used an established lung cancer simulation model to compare the effects on mortality of a hypothetical one-time cessation intervention and annual screening versus annual screening only among screen-eligible individuals born in 1950 or 1960. Model inputs were derived from national data and included smoking history, probability of quitting with and without intervention, lung cancer risk and treatment effectiveness, and competing tobacco-related mortality. We tested the sensitivity of results under different assumptions about screening use and cessation efficacy.

resultsSmoking cessation reduces lung cancer mortality and delays overall deaths versus screening only across all assumptions. For example, if screening was used by 30% of screen-eligible individuals born in 1950, adding an intervention with a 10% quit probability reduces lung cancer deaths by 14% and increases life years gained by 81% compared with screening alone. The magnitude of cessation benefits varied under screening uptake rates, cessation effectiveness, and birth cohort.

conclusionsSmoking cessation interventions have the potential to greatly enhance the impact of lung cancer screening programs. Evaluation of specific interventions, including costs and feasibility of implementation and dissemination, is needed to determine the best possible strategies and realize the full promise of lung cancer screening.

Indexed as

Lung NeoplasmsSmoking CessationAgedAged, 80 and overEarly Detection of CancerHumansMass ScreeningMiddle AgedTomography, X-Ray ComputedUnited StatesCancer Intervention and Surveillance Modeling Network (CISNET)Lung and tobacco-related mortalityLung cancer screeningSmoking cessation interventions

Identifiers

PMID32160967
PMCPMC7329583
OpenAlexW3010230141

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.