Evidence map›Paper›PMID 28170394›Full record

ArticlePLoS medicine2017

Performance and Cost-Effectiveness of Computed Tomography Lung Cancer Screening Scenarios in a Population-Based Setting: A Microsimulation Modeling Analysis in Ontario, Canada.

Kevin Ten Haaf, Martin C Tammemägi, Susan J Bondy, Carlijn M van der Aalst, Sumei Gu, S Elizabeth McGregor, Garth Nicholas, Harry J de Koning, Lawrence F Paszat

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03394703 (Korean Lung Cancer Screening Project for High-risk Smokers to Evaluate Effectiveness and Feasibility of Lung Cancer Screening With Low-dose Computed Tomography for Implementing National Cancer Screening Program), which is not on this map. Cited by 75 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 6 pooled it
13.7field-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.

NCT03394703 unknown statusnot on this map

Korean Lung Cancer Screening Project for High-risk Smokers to Evaluate Effectiveness and Feasibility of Lung Cancer Screening With Low-dose Computed Tomography for Implementing National Cancer Screening Program

TypeobservationalSponsorNational Cancer Center, KoreaRan2017 to 2018Enrolled8,000ConditionsLung Cancer
3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 6 syntheses or guidelines pooled it, 138 citations in OpenAlex.

  1. Pooled it
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  7. Trial
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  15. Natural history models for lung Cancer: A scoping review.Lung cancer (Amsterdam, Netherlands) · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Current Evidence for a Lung Cancer Screening Program.Portuguese journal of public health · 2024
    Review
  20. The Impact of Model Assumptions on Personalized Lung Cancer Screening Recommendations.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Kevin Ten HaafDepartment of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands.
Martin C TammemägiDepartment of Health Sciences, Brock University, St. Catharines, Ontario, Canada.
Susan J BondyUniversity of Toronto Dalla Lana School of Public Health, Ontario, Canada.
Carlijn M van der AalstDepartment of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands.
Sumei GuInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
S Elizabeth McGregorPopulation, Public & Indigenous Health, Alberta Health Services, Calgary, Alberta, Canada.ORCID 0000-0002-4325-2086
Garth NicholasThe Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0003-3742-7537
Harry J de KoningDepartment of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands.
Lawrence F PaszatUniversity of Toronto Dalla Lana School of Public Health, Ontario, Canada.ORCID 0000-0002-3595-1493
Erasmus MC · NLUniversity of Toronto · CAAlberta Health Services · CABrock University · CAInstitute for Clinical Evaluative Sciences · CAOttawa Hospital · CA

Funding

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
Comparative Modeling of Lung Cancer Control PoliciesU01CA152956 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DE KONING, HARRY J, KONG, CHUNG YIN · 2010 to 2014
$7.4M
NCI NIH HHS U01 CA152956NCI NIH HHS U01 CA199284
6 · The paper itself

Abstract

backgroundThe National Lung Screening Trial (NLST) results indicate that computed tomography (CT) lung cancer screening for current and former smokers with three annual screens can be cost-effective in a trial setting. However, the cost-effectiveness in a population-based setting with >3 screening rounds is uncertain. Therefore, the objective of this study was to estimate the cost-effectiveness of lung cancer screening in a population-based setting in Ontario, Canada, and evaluate the effects of screening eligibility criteria. METHODS AND

findingsThis study used microsimulation modeling informed by various data sources, including the Ontario Health Insurance Plan (OHIP), Ontario Cancer Registry, smoking behavior surveys, and the NLST. Persons, born between 1940 and 1969, were examined from a third-party health care payer perspective across a lifetime horizon. Starting in 2015, 576 CT screening scenarios were examined, varying by age to start and end screening, smoking eligibility criteria, and screening interval. Among the examined outcome measures were lung cancer deaths averted, life-years gained, percentage ever screened, costs (in 2015 Canadian dollars), and overdiagnosis. The results of the base-case analysis indicated that annual screening was more cost-effective than biennial screening. Scenarios with eligibility criteria that required as few as 20 pack-years were dominated by scenarios that required higher numbers of accumulated pack-years. In general, scenarios that applied stringent smoking eligibility criteria (i.e., requiring higher levels of accumulated smoking exposure) were more cost-effective than scenarios with less stringent smoking eligibility criteria, with modest differences in life-years gained. Annual screening between ages 55-75 for persons who smoked ≥40 pack-years and who currently smoke or quit ≤10 y ago yielded an incremental cost-effectiveness ratio of $41,136 Canadian dollars ($33,825 in May 1, 2015, United States dollars) per life-year gained (compared to annual screening between ages 60-75 for persons who smoked ≥40 pack-years and who currently smoke or quit ≤10 y ago), which was considered optimal at a cost-effectiveness threshold of $50,000 Canadian dollars ($41,114 May 1, 2015, US dollars). If 50% lower or higher attributable costs were assumed, the incremental cost-effectiveness ratio of this scenario was estimated to be $38,240 ($31,444 May 1, 2015, US dollars) or $48,525 ($39,901 May 1, 2015, US dollars), respectively. If 50% lower or higher costs for CT examinations were assumed, the incremental cost-effectiveness ratio of this scenario was estimated to be $28,630 ($23,542 May 1, 2015, US dollars) or $73,507 ($60,443 May 1, 2015, US dollars), respectively. This scenario would screen 9.56% (499,261 individuals) of the total population (ever- and never-smokers) at least once, which would require 4,788,523 CT examinations, and reduce lung cancer mortality in the total population by 9.05% (preventing 13,108 lung cancer deaths), while 12.53% of screen-detected cancers would be overdiagnosed (4,282 overdiagnosed cases). Sensitivity analyses indicated that the overall results were most sensitive to variations in CT examination costs. Quality of life was not incorporated in the analyses, and assumptions for follow-up procedures were based on data from the NLST, which may not be generalizable to a population-based setting.

conclusionsLung cancer screening with stringent smoking eligibility criteria can be cost-effective in a population-based setting.

Indexed as

Cost-Benefit AnalysisModels, TheoreticalAgedAged, 80 and overEarly Detection of CancerFalse Positive ReactionsFemaleHumansLung NeoplasmsMaleMass ScreeningMedical OveruseMiddle AgedMortalityOntarioTomography, X-Ray Computed

Identifiers

PMID28170394
PMCPMC5295664
OpenAlexW2587263164

What OpenQuestion holds

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LicenceCC BY
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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.