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Tytuł pozycji:

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

Tytuł:
Evaluation of the Benefits and Harms of Lung Cancer Screening With Low-Dose Computed Tomography: Modeling Study for the US Preventive Services Task Force.
Autorzy:
Meza R; Department of Epidemiology, University of Michigan, Ann Arbor.
Jeon J; Department of Epidemiology, University of Michigan, Ann Arbor.
Toumazis I; Department of Biomedical Data Sciences, Stanford University, Stanford, California.; Department of Radiology, Stanford University, Stanford, California.
Ten Haaf K; Erasmus Medical Center, Rotterdam, the Netherlands.
Cao P; Department of Epidemiology, University of Michigan, Ann Arbor.
Bastani M; Department of Biomedical Data Sciences, Stanford University, Stanford, California.; Department of Radiology, Stanford University, Stanford, California.
Han SS; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, California.
Blom EF; Erasmus Medical Center, Rotterdam, the Netherlands.
Jonas DE; RTI International-University of North Carolina Evidence-based Practice Center, Chapel Hill.; Department of Internal Medicine, Ohio State University, Columbus.
Feuer EJ; Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Plevritis SK; Department of Biomedical Data Sciences, Stanford University, Stanford, California.
de Koning HJ; Erasmus Medical Center, Rotterdam, the Netherlands.
Kong CY; Department of Radiology, Massachusetts General Hospital, Boston.; Division of General Internal Medicine, Department of Medicine, Mount Sinai Hospital, New York, New York.
Źródło:
JAMA [JAMA] 2021 Mar 09; Vol. 325 (10), pp. 988-997.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
Język:
English
Imprint Name(s):
Original Publication: Chicago : American Medical Association, 1960-
MeSH Terms:
Early Detection of Cancer*/adverse effects
Early Detection of Cancer*/standards
Practice Guidelines as Topic*
Tomography, X-Ray Computed*/adverse effects
Tomography, X-Ray Computed*/methods
Lung Neoplasms/*diagnostic imaging
Aged ; Humans ; Lung/diagnostic imaging ; Lung Neoplasms/mortality ; Lung Neoplasms/prevention & control ; Middle Aged ; Models, Theoretical ; Risk Assessment ; Sensitivity and Specificity ; Smoking ; Smoking Cessation
References:
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Grant Information:
U01 CA253858 United States CA NCI NIH HHS; U01 CA199284 United States CA NCI NIH HHS
Entry Date(s):
Date Created: 20210309 Date Completed: 20210319 Latest Revision: 20220716
Update Code:
20240105
PubMed Central ID:
PMC9208912
DOI:
10.1001/jama.2021.1077
PMID:
33687469
Czasopismo naukowe
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.
Comment in: JAMA Netw Open. 2021 Mar 1;4(3):e210275. (PMID: 33687439)
Comment in: JAMA. 2021 Mar 9;325(10):939-941. (PMID: 33687453)

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