Highlights
- •Lung cancer risk increases with time in most patients ineligible for lung screening.
- •Subpopulations of ineligible patients have much faster increase in lung cancer risk.
- •Smoking status and duration, less education, and COPD predict future screening eligibility.
- •Predictive modeling using participants current behaviors can estimate future risk.
Abstract
This study identifies participants ineligible for lung cancer screening with the greatest
likelihood of future eligibility. Lung cancer risk in participants enrolled in longitudinal
lung screening was assessed using the Prostate, Lung, Colorectal and Ovarian lung
cancer risk calculator (PLCOm2012) at two timepoints: baseline (T1) and follow-up (T2). Separate analyses were performed on four PLCOm2012 eligibility thresholds (3.25%, 2.00%, 1.50%, and 1.00%); only participants with a
T1 risk less than the threshold were included in that analysis. Cox-models identified
T1 risk factors associated with screen-eligibility at T2. Three models, applying differing assumptions of participant behavior, predicted
future eligibility and were benchmarked against the observed cohort. Nine hundred
and fifty-six participants had a T1 risk <3.25%; at 2.00% n= 755; at 1.50% n= 652; at 1.00% n= 484. Lung cancer risk
increased over time in most screen-ineligible participants. However, risk increased
much faster in participants who became screen-eligible at T2 compared to those who remained screen-ineligible (median per-year increase of 0.35%
versus 0.02%, when using a 3.25% threshold). Participants smoking for >30 years, current
smokers, less educated participants, and those with chronic obstructive pulmonary
disease (COPD) at T1 were significantly more likely to become screen-eligible. New diagnoses of COPD and/or
non-lung cancers between T1 and T2 precipitated eligibility in a subset of participants. The prediction model that assumed
health behaviors observed at T1 continued to T2 reasonably predicted changes in lung cancer risk. This prediction model and the identified
baseline risk factors can identify screen-ineligible participants who should be closely
followed for future eligibility.
Keywords
Abbreviations:
NLST (National Lung Screening Trial), NELSON (Dutch-Belgian Lung Cancer Screening Trial), Low-dose Computed Tomography (LDCT), PLCOm2012 (Prostate, Lung, Colorectal and Ovarian Six-year Lung Cancer Risk Calculator), ILST (International Lung Screen Trial), OLSP (Ontario Lung Screening Program), PMLSP (Princess Margaret Lung Screening Program), FHS (Framingham Heart Study)To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Respiratory MedicineAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Reduced lung-cancer mortality with volume CT screening in a randomized trial.N. Engl. J. Med. 2020; 382: 503-513https://doi.org/10.1056/NEJMoa1911793
- Reduced lung-cancer mortality with low-dose computed tomographic screening.N. Engl. J. Med. 2011; 365: 395-409https://doi.org/10.1056/NEJMoa1102873
- Cost-Effectiveness analyses of lung cancer screening strategies using low-dose computed tomography: a systematic review.Appl. Health Econ. Health Pol. 2016; 14: 409-418https://doi.org/10.1007/s40258-016-0226-5
- Lung cancer screening, version 3.2018: clinical practice guidelines in Oncology.J. Natl. Compr. Canc. Netw. 2018; 16: 412-441https://doi.org/10.1111/mcn.12149
- Targeted Screening for Lung Cancer with Low Radiation Dose Computed Tomography.2019 (England)
- European position statement on lung cancer screening.Lancet Oncol. 2017; https://doi.org/10.1016/S1470-2045(17)30861-6
- Selection criteria for lung-cancer screening.N. Engl. J. Med. 2013; https://doi.org/10.1056/NEJMoa1211776
- Risk prediction models for selection of lung cancer screening candidates: a retrospective validation study.PLoS Med. 2017; 14: 1-24https://doi.org/10.1371/journal.pmed.1002277
- PL02.02 lung cancer screenee selection by USPSTF versus PLCOM2012 criteria - interim ILST findings.in: International Association for the Study of Lung Cancer World Conference on Lung Cancer. 2019 (Barcelona)
- Screening for lung cancer: US preventive services Task Force recommendation statement.JAMA, J. Am. Med. Assoc. 2021; 325: 962-970https://doi.org/10.1001/jama.2021.1117
- Risk factors for lung cancer worldwide.Eur. Respir. J. 2016; 48: 889-902https://doi.org/10.1183/13993003.00359-2016
- American Cancer Society lung cancer screening guidelines, CA.Cancer J. Clin. 2013; 63: 107-117https://doi.org/10.3322/caac.21172
- Poor uptake of lung cancer screening: opportunities for improvement.J. Am. Coll. Radiol. 2019; 16: 446-450https://doi.org/10.1016/j.jacr.2018.12.018
- Lung cancer screening with low-dose computed tomography: Canadian experience.Can. Assoc. Radiol. J. 2007; 58: 225-235
- Outcomes of long-term interval rescreening with low-dose computed tomography for lung cancer in different risk cohorts.J. Thorac. Oncol. 2019; 14: 1003-1011https://doi.org/10.1016/j.jtho.2019.01.031
- Point-of-care spirometry identifies high-risk individuals excluded from lung cancer screening.Am. J. Respir. Crit. Care Med. 2020; 202: 1473-1477https://doi.org/10.1164/rccm.202005-1742LE
- Improving implementation of lung cancer screening with risk prediction models.Ann. Intern. Med. 2018; 169: 54-55
- Protocol and rationale for the international lung screening trial (ILST).Ann. Am. Thorac. Soc. 2020; 17: 503-512https://doi.org/10.1513/AnnalsATS.201902-102OC
- Frequently Asked Questions for Healthcare Providers: Lung Cancer Screening in Ontario for People at High Risk.2019
- Identifying high risk individuals for targeted lung cancer screening: independent validation of the PLCOm2012 risk prediction tool.Int. J. Canc. 2017; 141: 242-253https://doi.org/10.1002/ijc.30673
- Contemporary implications of U.S. Preventive services Task Force and risk-based guidelines for lung cancer screening eligibility in the United States.Ann. Intern. Med. 2019; 171: 384-386https://doi.org/10.7326/M18-3617
- Long-Term adherence to health behavior change kathryn.Am. J. Lifestyle Med. 2013; 7: 395-404https://doi.org/10.1177/1559827613488867
- Estimating the number of quit attempts it takes to quit smoking successfully in a longitudinal cohort of smokers.BMJ Open. 2016; 6: 1-9https://doi.org/10.1136/bmjopen-2016-011045
- Impact of low-dose CT screening on smoking cessation among high-risk participants in the UK Lung Cancer Screening trial.Thorax. 2017; 72: 912-918https://doi.org/10.1136/thoraxjnl-2016-209690
- Clinical impact and cost-effectiveness of integrating smoking cessation into lung cancer screening: a microsimulation model.C. Open. 2020; 8: E585-E592https://doi.org/10.9778/cmajo.20190134
- RStudio.http://www.rstudio.org/Date: 2019
- SAS.2018
- Lifetime smoking history and risk of lung cancer: results from the Framingham Heart study.J. Natl. Cancer Inst. 2018; 110: 1201-1207https://doi.org/10.1093/jnci/djy041
- What are the major determinants in the success of smoking cessation: results from the health examinees study.PloS One. 2015; 10e0143303https://doi.org/10.1371/journal.pone.0143303
- Pre-abstinence smoke intake and smoking motivation as predictors of severity of cigarette withdrawal symptoms.Psychopharmacology. 1985; 87: 334-336https://doi.org/10.1007/BF00432717
- Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal.BMC Canc. 2018; 18: 1275https://doi.org/10.1186/s12885-018-5144-5
- Lung cancer mortality in relation to age, duration of smoking, and daily cigarette consumption: results from cancer prevention study II.Can. Res. 2003; 63: 6556-6562
- Decision Memo for Screening for Lung Cancer with Low Dose Computed Tomography ( LDCT ).CAG-00439N, 2015
- Identifying teachable moments for health behavior counseling in primary care.Patient Educ. Counsel. 2011; 85: 8-15https://doi.org/10.1016/j.pec.2010.11.009.Identifying
- Time perspective as a determinant of smoking cessation in four countries: direct and mediated effects from the International Tobacco Control (ITC) 4-Country Surveys, Addict.Beyond Behav. 2014; 39: 1183-1190https://doi.org/10.1016/j.addbeh.2014.03.019
- Predictors of Participant Nonadherence in Lung Cancer Screening Programs: A Systematic Review and Meta-Analysis.Lung Cancer, 2020 (Epub)
- Combining smoking cessation interventions with LDCT lung cancer screening: a systematic review.Prev. Med. 2019; 121: 24-32
- Global strategy for the diagnosis, management and prevention of chronic obstructive pulmonary disease. NHBLI/WHO global initiative for chronic obstructive lung disease (GOLD) workshop summary.Rev. Port. Pneumol. 2001; 7: 398-400https://doi.org/10.1164/ajrccm.163.5.2101039
- Implications of nine risk prediction models for selecting ever-smokers for computed tomography lung cancer screening, ann.Intern. Med. 2018; 169: 10
- Lung cancer screening, version 3.2018, NCCN clinical practice guidelines in Oncology.J. Natl. Compr. Canc. Netw. 2018; 16: 412-441https://doi.org/10.6004/jnccn.2018.0020
- Tobacco product use among adults — United States, 2019.MMWR Morb. Mortal. Wkly. Rep. 2020; 69: 1736-1742https://doi.org/10.15585/mmwr.mm6946a4
- Mind the gap: disparities in cigarette smoking in Canada, tob.Use Insights. 2019; 12: 1-8https://doi.org/10.1177/1179173x19839058
- Addressing disparities in lung cancer screening eligibility and healthcare access: an official American thoracic society statement.Am. J. Respir. Crit. Care Med. 2020; 202: E95-E112https://doi.org/10.1164/rccm.202008-3053ST
- Considering lead-time bias in evaluating the effectiveness of lung cancer screening with real-world data.Sci. Rep. 2021; 11: 1-10https://doi.org/10.1038/s41598-021-91852-6
- Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study.Lancet Oncol. 2017; 18: 1523-1531https://doi.org/10.1016/S1470-2045(17)30597-1
- Reduced lung-cancer mortality with low-dose computed tomographic screening.N. Engl. J. Med. 2011; https://doi.org/10.1056/NEJMoa1102873
Article info
Publication history
Published online: September 20, 2021
Accepted:
September 5,
2021
Received in revised form:
August 26,
2021
Received:
April 8,
2021
Identification
Copyright
© 2021 Elsevier Ltd. All rights reserved.