The Development and Performance of Alternative Criteria for Lung Cancer Screening
Year: 2024
Type: article
Abstract: BACKGROUND: The recommendation for lung cancer screening (LCS) developed by the U.S. Preventive Services Task Force (USPSTF) may exclude some high-benefit people. OBJECTIVE: To determine whether alternative criteria can identify these high-benefit people. DESIGN: Model-based projections. SETTING: United States. PARTICIPANTS: People from the 1997-2014 National Health Interview Survey (NHIS) to develop alternative criteria using fast-and-frugal tree algorithms and from the 2014-2018 NHIS and the 2022 Behavioral Risk Factor Surveillance System for comparisons of USPSTF criteria versus alternative criteria. MEASUREMENTS: Life-years gained from LCS were estimated using the life-years gained from screening computed tomography (LYFS-CT) model. "High-benefit" was defined as gaining an average of at least 16.2 days of life from 3 annual screenings, which reflects high lung cancer risk and substantial life gains if lung cancer is detected by screening. RESULTS: = 0.171]) at similar specificity. The alternative criteria identify high-risk, high-benefit groups excluded by the USPSTF criteria (those with a smoking duration of ≥40 years but <20 pack-years and a quit history of >15 years), many of whom are members of racial and ethnic minorities. LIMITATION: The results were based on model projections. CONCLUSION: These results suggest that simple alternative LCS criteria can identify substantially more high-benefit people, especially in some racial and ethnic groups. PRIMARY FUNDING SOURCE: U.S. Department of Veterans Affairs Lung Precision Oncology Program.
Source: Annals of Internal Medicine
DOI: 10.7326/m23-3250
Institutions: Boston University, VA Boston Healthcare System, VA Ann Arbor Healthcare System, VA Center for Clinical Management Research, National Institutes of Health, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Medical University of South Carolina, Ralph H. Johnson VA Medical Center, Veterans Health Administration, Centre international de recherche sur le cancer, University of Michigan, Ann Arbor VA Medical Center
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
Award: G511643056
OpenAlex ID: W4401690606
