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Probability of lung cancer in a population excluded from screening due to low PLCOM2012 risk
Institution:1. Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada;2. Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada;3. Department of Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada;1. Graduate Institute of Biomedical Sciences, China Medical University, Taichung, 406040, Taiwan;2. Department of Physiology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia;3. Cancer Research Institute and School of Basic Medical Sciences, Central South University, Changsha, China;4. The Ken & Ruth Davee Department of Neurology, Lou & Jean Malnati Brain Tumor Institute at Northwestern Medicine, The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA;5. Institute of Biochemistry & Molecular Biology, China Medical University, Taichung, 406040, Taiwan;1. Cancer Surveillance Branch, International Agency for Research on Cancer, Lyon, France;2. Department of Applied and Public Economics, and Political Economy, Complutense University of Madrid, Madrid, Spain;3. Population Health Sciences Institute, Newcastle University Centre for Cancer, Newcastle Upon Tyne, United Kingdom;4. EPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal;5. Laboratório Para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal;6. Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal;1. Department of Epidemiology, Radiation Effects Research Foundation, 5-2, Hijiyama Park, Minami-ku, Hiroshima City, Hiroshima 732-0815, Japan;2. Division of International Health Policy Research, Institution for Cancer Control, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan;3. Research Department, Fondazione IRCSS, Istituto Nazionale dei Tumouri, Via Venezian 1, 20133, Milan, Italy;1. Memorial Sloan Kettering Cancer Center, USA;2. GRAIL, LLC, 1525 O''Brien Dr, Menlo Park, CA 94025, USA;3. Massachusetts General Hospital, USA;1. Department of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China;2. School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Street, Shenzhen 518055, China;1. Unit of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark;2. Unit of Diet, Cancer and Health, Danish Cancer Society Research Center, Copenhagen, Denmark;3. Statistics and Data Analysis, Danish Cancer Society Research Center, Copenhagen, Denmark;4. Department of Gynecology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
Abstract:BackgroundSeveral randomized trials demonstrated have reduced lung cancer mortality with screening using computed tomography. However, there remains debate about the optimal approach for determining screening eligibility, and no evidence yet exists reporting lung cancer rates in those excluded from screening due to too low of a personalized risk.MethodsThis study was based on the Alberta Lung Cancer Screening Study, which received 1737 applicants and enrolled 850 based on the NLST criteria or a PLCOM2012 risk ≥ 1.5%. We excluded 887 applicants who were interested in screening but deemed ineligible. We report lung cancer rates in the screened and unscreened cohorts.ResultsWe observed 30 and 8 lung cancers in the screened and unscreened groups, respectively. Only 1 of 8 lung cancers were among those considered too low risk (0.14%), while the remaining 7 were among those excluded for other reasons, including symptoms requiring more immediate workup. No NLST eligible but PLCO risk < 1.5% screened individual had a lung cancer detected as part of the study, so that of all applicants contacting the program with risk estimates less than 1.5%, only 1/857 (0.12%) developed lung cancer.ConclusionOur findings indicate that a risk-based approach for screening eligibility is unlikely to miss many lung cancers.
Keywords:Lung cancer  Cancer screening  Early cancer detection  Screening guidelines  NLST"}  {"#name":"keyword"  "$":{"id":"key0030"}  "$$":[{"#name":"text"  "_":"National Lung Screening Trial  NELSON"}  {"#name":"keyword"  "$":{"id":"key0040"}  "$$":[{"#name":"text"  "_":"Dutch Belgian randomised lung cancer screening trial  CT"}  {"#name":"keyword"  "$":{"id":"key0050"}  "$$":[{"#name":"text"  "_":"computed tomography  ALCSS"}  {"#name":"keyword"  "$":{"id":"key0060"}  "$$":[{"#name":"text"  "_":"Alberta Lung Cancer Screening Study  COPD"}  {"#name":"keyword"  "$":{"id":"key0070"}  "$$":[{"#name":"text"  "_":"Chronic obstructive lung disease  CI"}  {"#name":"keyword"  "$":{"id":"key0080"}  "$$":[{"#name":"text"  "_":"confidence interval  BMI"}  {"#name":"keyword"  "$":{"id":"key0090"}  "$$":[{"#name":"text"  "_":"body mass index
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