Evidence map›Paper›PMID 33687469›Full record

ArticleJAMA2021

Evaluation of the Benefits and Harms of Lung Cancer Screening With Low-Dose Computed Tomography: Modeling Study for the US Preventive Services Task Force.

Rafael Meza, Jihyoun Jeon, Iakovos Toumazis, Kevin Ten Haaf, Pianpian Cao, Mehrad Bastani, Summer S Han, Erik F Blom, Daniel E Jonas, Eric J Feuer and 3 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in JAMA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07126626 (Multi-center Prospective Validation of the SPOT-MAS Lung Test Using Circulating Tumor DNA for the Detection of Lung Cancer), which is not on this map. Cited by 192 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 5 pooled it
34.2field-weighted citation impact, top 1% 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.

NCT07126626 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Multi-center Prospective Validation of the SPOT-MAS Lung Test Using Circulating Tumor DNA for the Detection of Lung Cancer

TypeobservationalSponsorGene SolutionsRan2025 to 2027Enrolled1,184ConditionsLung Diseases, Lung Cancer Screening
3 · Its place in the literature

Who cites it

192 citing papers in PubMed, 5 syntheses or guidelines pooled it, 299 citations in OpenAlex.

  1. Pooled it
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  4. Lung Cancer Screening With Low-Dose Computed Tomography.Deutsches Arzteblatt international · 2023
    Pooled it
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  6. Effect of Patient Navigation on Completion of Lung Cancer Screening in Vulnerable Populations.Journal of the National Comprehensive Cancer Network : JNCCN · 2024
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  9. Clinical Decision Support with or without Shared Decision Making to Improve Preventive Cancer Care: A Cluster-Randomized Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
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132 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 2 countries.

Rafael MezaDepartment of Epidemiology, University of Michigan, Ann Arbor.
Jihyoun JeonDepartment of Epidemiology, University of Michigan, Ann Arbor.
Iakovos ToumazisDepartment of Biomedical Data Sciences, Stanford University, Stanford, California.
Kevin Ten HaafErasmus Medical Center, Rotterdam, the Netherlands.
Pianpian CaoDepartment of Epidemiology, University of Michigan, Ann Arbor.
Mehrad BastaniDepartment of Biomedical Data Sciences, Stanford University, Stanford, California.
Summer S HanQuantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, California.
Erik F BlomErasmus Medical Center, Rotterdam, the Netherlands.
Daniel E JonasRTI International-University of North Carolina Evidence-based Practice Center, Chapel Hill.
Eric J FeuerDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Sylvia K PlevritisDepartment of Biomedical Data Sciences, Stanford University, Stanford, California.
Harry J de KoningErasmus Medical Center, Rotterdam, the Netherlands.
Chung Yin KongDepartment of Radiology, Massachusetts General Hospital, Boston.
Stanford University · USErasmus MC · NLUniversity of Michigan–Ann Arbor · USMassachusetts General Hospital · USNational Cancer Institute · USThe Ohio State University · US

Funding

Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment InterventionsU01CA253858 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE KONING, HARRY J, HOLFORD, THEODORE R · 2020 to 2025
$8.4M
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
NCI NIH HHS U01 CA199284NCI NIH HHS U01 CA253858
6 · The paper itself

Abstract

Importance: The US Preventive Services Task Force (USPSTF) is updating its 2013 lung cancer screening guidelines, which recommend annual screening for adults aged 55 through 80 years who have a smoking history of at least 30 pack-years and currently smoke or have quit within the past 15 years. Objective: To inform the USPSTF guidelines by estimating the benefits and harms associated with various low-dose computed tomography (LDCT) screening strategies. Design, Setting, and Participants: Comparative simulation modeling with 4 lung cancer natural history models for individuals from the 1950 and 1960 US birth cohorts who were followed up from aged 45 through 90 years. Exposures: Screening with varying starting ages, stopping ages, and screening frequency. Eligibility criteria based on age, cumulative pack-years, and years since quitting smoking (risk factor-based) or on age and individual lung cancer risk estimation using risk prediction models with varying eligibility thresholds (risk model-based). A total of 1092 LDCT screening strategies were modeled. Full uptake and adherence were assumed for all scenarios. Main Outcomes and Measures: Estimated lung cancer deaths averted and life-years gained (benefits) compared with no screening. Estimated lifetime number of LDCT screenings, false-positive results, biopsies, overdiagnosed cases, and radiation-related lung cancer deaths (harms). Results: Efficient screening programs estimated to yield the most benefits for a given number of screenings were identified. Most of the efficient risk factor-based strategies started screening at aged 50 or 55 years and stopped at aged 80 years. The 2013 USPSTF-recommended criteria were not among the efficient strategies for the 1960 US birth cohort. Annual strategies with a minimum criterion of 20 pack-years of smoking were efficient and, compared with the 2013 USPSTF-recommended criteria, were estimated to increase screening eligibility (20.6%-23.6% vs 14.1% of the population ever eligible), lung cancer deaths averted (469-558 per 100 000 vs 381 per 100 000), and life-years gained (6018-7596 per 100 000 vs 4882 per 100 000). However, these strategies were estimated to result in more false-positive test results (1.9-2.5 per person screened vs 1.9 per person screened with the USPSTF strategy), overdiagnosed lung cancer cases (83-94 per 100 000 vs 69 per 100 000), and radiation-related lung cancer deaths (29.0-42.5 per 100 000 vs 20.6 per 100 000). Risk model-based vs risk factor-based strategies were estimated to be associated with more benefits and fewer radiation-related deaths but more overdiagnosed cases. Conclusions and Relevance: Microsimulation modeling studies suggested that LDCT screening for lung cancer compared with no screening may increase lung cancer deaths averted and life-years gained when optimally targeted and implemented. Screening individuals at aged 50 or 55 years through aged 80 years with 20 pack-years or more of smoking exposure was estimated to result in more benefits than the 2013 USPSTF-recommended criteria and less disparity in screening eligibility by sex and race/ethnicity.

Indexed as

Early Detection of CancerPractice Guidelines as TopicTomography, X-Ray ComputedAgedHumansLungLung NeoplasmsMiddle AgedModels, TheoreticalRisk AssessmentSensitivity and SpecificitySmokingSmoking Cessation

Identifiers

PMID33687469
PMCPMC9208912
OpenAlexW3133859228

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.