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de Nijs K, ten Haaf K, van der Aalst C, de Koning HJ. Projected effectiveness of lung cancer screening and concurrent smoking cessation support in the Netherlands. EClinicalMedicine 2024; 71:102570. [PMID: 38813448 PMCID: PMC11133792 DOI: 10.1016/j.eclinm.2024.102570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 05/31/2024] Open
Abstract
Background The NELSON trial demonstrated a 24% intention-to-screen reduction in lung cancer mortality from regular screening with low-dose computed tomography. Implementation efforts in Europe are ongoing, but still await country-specific and NELSON-adapted estimates of the benefits and harms of screening. Methods We use the MISCAN-Lung microsimulation model, calibrated to individual-level outcomes from the NELSON trial, to estimate the effectiveness under 100% compliance of biennial lung cancer screening with concomitant smoking cessation support for Dutch cohorts 1942-1961. The model simulates smoking behaviour, lung cancer incidence and the effects of screening and smoking cessation on lung- and other-cause mortality. Findings We find biennial screening with eligibility criteria equal to those of the 4-IN-THE-LUNG-RUN implementation trial to reduce lung cancer mortality by 16.9% among the eligible population, equivalent to 1076 LC deaths prevented per year in the next two decades. Eligible individuals constitute 21.5% of the cohorts studied, and stand to face 61% of the projected lung cancer mortality burden in the absence of screening. 10.3 life-years are gained per prevented LC death, for 14.9 screens per life year gained. Concomitant smoking cessation interventions may increase the expected gains in life years from screening by up to 20%. Interpretation Policy makers should imminently consider the implementation of lung cancer screening in Europe, paired with effective smoking cessation interventions. Smoking cessation interventions on their own are not estimated to yield a gain in remaining life expectancy of the magnitude offered by even a single CT screen. Funding European UnionHorizon 2020 grant 848294: 4-IN-THE-LUNG-RUN.
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Affiliation(s)
- Koen de Nijs
- Department of Public Health, Erasmus MC - University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Kevin ten Haaf
- Department of Public Health, Erasmus MC - University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Carlijn van der Aalst
- Department of Public Health, Erasmus MC - University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands
| | - Harry J. de Koning
- Department of Public Health, Erasmus MC - University Medical Center Rotterdam, 3015 CE Rotterdam, The Netherlands
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Ramkumar M, Kalirajan K, Kumar UP, Surya P. Deep volcanic residual U-Net for nodal metastasis (Nmet) identification from lung cancer. Biomed Eng Lett 2024; 14:221-233. [PMID: 38374909 PMCID: PMC10874362 DOI: 10.1007/s13534-023-00332-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/10/2023] [Accepted: 10/14/2023] [Indexed: 02/21/2024] Open
Abstract
Lymph node metastasis detections are more clinically significant task associated with the presence and reappearance of lung cancer. The development of the computer-assisted diagnostic approach has greatly supported the diagnosis of human disorders in the field of medicine including lung cancer. Lung cancer treatment is possible if it is detected at the initial stage. Radiologists have great difficulty identifying and categorizing lung cancers in the initial phase. So, several methods were used to predict the lung cancer but does not provide accurate solutions with increased error rate. To overcome these issues, a Deep Volcanic Residual U-Net (DVR U-Net) for nodal metastasis is proposed in this manuscript which identifies the LC accurately in the early stage. Initially, the input images are taken from two datasets. After that, these input data are pre-processed using Anisotropic Diffusion Filter with a Fuzzy based Contrast-Limited Adaptive Histogram Equalization (ADFFCLAHE) method. Then the pre-processed images are given to the DVR U-Net to segment and extract the volume of interest for estimating the nodal stage of each volume of interest. Finally, DVR U-Net effectively detects and classifies the N + (nodal metastasis) or N- (non-nodal metastasis). The introduced method attains 99.9% higher accuracy as compared with the existing methods. Also, the statistical analysis of the Shapiro-Wilk test, Friedman test and Wilcoxon Signed-Rank test are executed to prove the statistical effectiveness of the implemented method.
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Affiliation(s)
- M. Ramkumar
- Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu 641008 India
| | - K. Kalirajan
- KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu 641407 India
| | - U. Pavan Kumar
- Narayana Engineering College, Nellore, Andhra Pradesh 524004 India
| | - P. Surya
- RISE Krishna Sai Prakasam Group of institution, Ongole, Andhra Pradesh 523272 India
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3
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Tomonaga Y, de Nijs K, Bucher HC, de Koning H, Ten Haaf K. Cost-effectiveness of risk-based low-dose computed tomography screening for lung cancer in Switzerland. Int J Cancer 2024; 154:636-647. [PMID: 37792671 DOI: 10.1002/ijc.34746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 10/06/2023]
Abstract
Throughout Europe, computed tomography (CT) screening for lung cancer is in a phase of clinical implementation or reimbursement evaluation. To efficiently select individuals for screening, the use of lung cancer risk models has been suggested, but their incremental (cost-)effectiveness relative to eligibility based on pack-year criteria has not been thoroughly evaluated for a European setting. We evaluate the cost-effectiveness of pack-year and risk-based screening (PLCOm2012 model-based) strategies for Switzerland, which aided in informing the recommendations of the Swiss Cancer Screening Committee (CSC). We use the MISCAN (MIcrosimulation SCreening ANalysis)-Lung model to estimate benefits and harms of screening among individuals born 1940 to 1979 in Switzerland. We evaluate 1512 strategies, differing in the age ranges employed for screening, the screening interval and the strictness of the smoking requirements. We estimate risk-based strategies to be more cost-effective than pack-year-based screening strategies. The most efficient strategy compliant with CSC recommendations is biennial screening for ever-smokers aged 55 to 80 with a 1.6% PLCOm2012 risk. Relative to no screening this strategy is estimated to reduce lung cancer mortality by 11.0%, with estimated costs per Quality-Adjusted Life-Year (QALY) gained of €19 341, and a €1.990 billion 15-year budget impact. Biennial screening ages 55 to 80 for those with 20 pack-years shows a lower mortality reduction (10.5%) and higher cost per QALY gained (€20 869). Despite model uncertainties, our estimates suggest there may be cost-effective screening policies for Switzerland. Risk-based biennial screening ages 55 to 80 for those with ≥1.6% PLCOm2012 risk conforms to CSC recommendations and is estimated to be more efficient than pack-year-based alternatives.
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Affiliation(s)
- Yuki Tomonaga
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Koen de Nijs
- Department of Public Health, Erasmus MC: University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Heiner C Bucher
- Division of Clinical Epidemiology, Department of Clinical Research University Hospital Basel and University of Basel, Basel, Switzerland
| | - Harry de Koning
- Department of Public Health, Erasmus MC: University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Kevin Ten Haaf
- Department of Public Health, Erasmus MC: University Medical Center Rotterdam, Rotterdam, The Netherlands
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Soilly AL, Aho Glélé LS, Bernard A, Abou Hanna H, Filaire M, Magdaleinat P, Marty-Ané C, Tronc F, Grima R, Baste JM, Thomas PA, Richard De Latour B, Pforr A, Pagès PB. Medico-economic impact of thoracoscopy versus thoracotomy in lung cancer: multicentre randomised controlled trial (Lungsco01). BMC Health Serv Res 2023; 23:1004. [PMID: 37723516 PMCID: PMC10507914 DOI: 10.1186/s12913-023-09962-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/24/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Lungsco01 is the first study assessing the real benefits and the medico-economic impact of video-thoracoscopy versus open thoracotomy for non-small cell lung cancer in the French context. METHODS Two hundred and fifty nine adult patients from 10 French centres were randomised in this prospective multicentre randomised controlled trial, between July 29, 2016, and November 24, 2020. Survival from surgical intervention to day 30 and later was compared with the log-rank test. Total quality-adjusted-life-years (QALYs) were calculated using the EQ-5D-3L®. For medico-economic analyses at 30 days and at 3 months after surgery, resources consumed were valorised (€ 2018) from a hospital perspective. First, since mortality was infrequent and not different between the two arms, cost-minimisation analyses were performed considering only the cost differential. Second, based on complete cases on QALYs, cost-utility analyses were performed taking into account cost and QALY differential. Acceptability curves and the 95% confidence intervals for the incremental ratios were then obtained using the non-parametric bootstrap method (10,000 replications). Sensitivity analyses were performed using multiple imputations with the chained equation method. RESULTS The average cumulative costs of thoracotomy were lower than those of video-thoracoscopy at 30 days (€9,730 (SD = 3,597) vs. €11,290 (SD = 4,729)) and at 3 months (€9,863 (SD = 3,508) vs. €11,912 (SD = 5,159)). In the cost-utility analyses, the incremental cost-utility ratio was €19,162 per additional QALY gained at 30 days (€36,733 at 3 months). The acceptability curve revealed a 64% probability of efficiency at 30 days for video-thoracoscopy, at a widely-accepted willingness-to-pay threshold of €25,000 (34% at 3 months). Ratios increased after multiple imputations, implying a higher cost for video-thoracoscopy for an additional QALY gain (ratios: €26,015 at 30 days, €42,779 at 3 months). CONCLUSIONS Given our results, the economic efficiency of video-thoracoscopy at 30 days remains fragile at a willingness-to-pay threshold of €25,000/QALY. The economic efficiency is not established beyond that time horizon. The acceptability curves given will allow decision-makers to judge the probability of efficiency of this technology at other willingness-to-pay thresholds. TRIAL REGISTRATION NCT02502318.
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Affiliation(s)
- Anne-Laure Soilly
- Direction of Clinical Research and Innovation, Clinical Research Unit-Methodological Support Network, CHU Dijon-Bourgogne, 21000, Dijon, France.
| | | | - Alain Bernard
- Department of Thoracic and Cardiovascular Surgery, CHU Dijon, Dijon, France
| | - Halim Abou Hanna
- Department of Thoracic and Cardiovascular Surgery, CHU Dijon, Dijon, France
| | - Marc Filaire
- Department of Thoracic Surgery and Endocrine Surgery, Centre Jean Perrin, Clermont Auvergne University, Clermont-Ferrand, France
| | | | - Charles Marty-Ané
- Department of Thoracic and Cardiovascular Surgery, Hôpital Arnaud de Villeneuve, CHU Montpellier, Montpellier, France
| | - François Tronc
- Department of Thoracic Surgery, HCL, Hôpital Louis Pradel, Bron, France
| | - Renaud Grima
- Department of Thoracic Surgery, HCL, Hôpital Louis Pradel, Bron, France
| | | | - Pascal-Alexandre Thomas
- Department of Thoracic Surgery, North University Hospital, Aix-Marseille University & APHM, Marseille, France
| | | | - Arnaud Pforr
- Department of Thoracic and Vascular Surgery, Avignon, Avignon, CH, France
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Cressman S, Weber MF, Ngo PJ, Wade S, Behar Harpaz S, Caruana M, Tremblay A, Manser R, Stone E, Atkar-Khattra S, Karikios D, Ho C, Fernandes A, Yi Weng J, McWilliams A, Myers R, Mayo J, Yee J, Yuan R, Marshall HM, Fong KM, Lam S, Canfell K, Tammemägi MC. Economic impact of using risk models for eligibility selection to the International lung screening Trial. Lung Cancer 2023; 176:38-45. [PMID: 36592498 DOI: 10.1016/j.lungcan.2022.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 12/05/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Using risk models as eligibility criteria for lung screening can reduce race and sex-based disparities. We used data from the International Lung Screening Trial(ILST; NCT02871856) to compare the economic impact of using the PLCOm2012 risk model or the US Preventative Services' categorical age-smoking history-based criteria (USPSTF-2013). MATERIALS AND METHODS The cost-effectiveness of using PLCOm2012 versus USPSTF-2013 was evaluated with a decision analytic model based on the ILST and other screening trials. The primary outcomes were costs in 2020 International Dollars ($), quality-adjusted life-years (QALY) and incremental net benefit (INB, in $ per QALY). Secondary outcomes were selection characteristics and cancer detection rates (CDR). RESULTS Compared with the USPSTF-2013 criteria, the PLCOm2012 risk model resulted in $355 of cost savings per 0.2 QALYs gained (INB=$4294 at a willingness-to-pay threshold of $20 000/QALY (95 %CI: $4205-$4383). Using the risk model was more cost-effective in females at both a 1.5 % and 1.7 % 6-year risk threshold (INB=$6616 and $6112, respectively), compared with males ($5221 and $695). The PLCOm2012 model selected more females, more individuals with fewer years of formal education, and more people with other respiratory illnesses in the ILST. The CDR with the risk model was higher in females compared with the USPSTF-2013 criteria (Risk Ratio = 7.67, 95 % CI: 1.87-31.38). CONCLUSION The PLCOm2012 model saved costs, increased QALYs and mitigated socioeconomic and sex-based disparities in access to screening.
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Affiliation(s)
- Sonya Cressman
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada; The Centre for Clinical Epidemiology and Evaluation, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada.
| | - Marianne F Weber
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney 2011, Australia
| | - Preston J Ngo
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney 2011, Australia
| | - Stephen Wade
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney 2011, Australia
| | - Silvia Behar Harpaz
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney 2011, Australia
| | - Michael Caruana
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney 2011, Australia
| | - Alain Tremblay
- Division of Respiratory Medicine and Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Renee Manser
- Department of Respiratory and Sleep Medicine, Royal Melbourne Hospital, Parksville, Victoria, 3050, Australia; Department of Internal Medicine, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia; University of Melbourne, Department of. Medicine, Royal Melbourne Hospital, Parksville, Victoria, 3010, Australia
| | - Emily Stone
- Department of Thoracic Medicine and Lung Transplantation, St Vincent Hospital, Sydney, Australia; School of Clinical Medicine; School of Public Health, University of Sydney, Australia
| | | | - Deme Karikios
- Nepean Clinical School, The University of Sydney, NSW 2747, Australia
| | - Cheryl Ho
- BC Cancer, Vancouver, British Columbia, Australia; Faculty of Medicine, University of British Columbia, Vancouver, British Columbia
| | - Aleisha Fernandes
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada; Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Jing Yi Weng
- Department of Primary Care and Population Health, University College London, London, United Kingdom
| | - Annette McWilliams
- Department of Respiratory Medicine, Fiona Stanley Hospital, Murdoch, WA, Australia
| | - Renelle Myers
- BC Cancer Research Institute, Vancouver, BC, Canada; BC Cancer, Vancouver, British Columbia, Australia; Faculty of Medicine, University of British Columbia, Vancouver, British Columbia
| | - John Mayo
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia
| | - John Yee
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia
| | - Ren Yuan
- BC Cancer, Vancouver, British Columbia, Australia; Faculty of Medicine, University of British Columbia, Vancouver, British Columbia
| | - Henry M Marshall
- The Prince Charles Hospital and University of Queensland Thoracic Research Centre, Brisbane, QLD, Australia
| | - Kwun M Fong
- The Prince Charles Hospital and University of Queensland Thoracic Research Centre, Brisbane, QLD, Australia
| | - Stephen Lam
- BC Cancer Research Institute, Vancouver, BC, Canada; BC Cancer, Vancouver, British Columbia, Australia; Faculty of Medicine, University of British Columbia, Vancouver, British Columbia
| | - Karen Canfell
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney 2011, Australia
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Behar Harpaz S, Weber MF, Wade S, Ngo PJ, Vaneckova P, Sarich PEA, Cressman S, Tammemagi MC, Fong K, Marshall H, McWilliams A, Zalcberg JR, Caruana M, Canfell K. Updated cost-effectiveness analysis of lung cancer screening for Australia, capturing differences in the health economic impact of NELSON and NLST outcomes. Br J Cancer 2023; 128:91-101. [PMID: 36323879 DOI: 10.1038/s41416-022-02026-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 08/24/2022] [Accepted: 10/13/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND A national, lung cancer screening programme is under consideration in Australia, and we assessed cost-effectiveness using updated data and assumptions. METHODS We estimated the cost-effectiveness of lung screening by applying screening parameters and outcomes from either the National Lung Screening Trial (NLST) or the NEderlands-Leuvens Longkanker Screenings ONderzoek (NELSON) to Australian data on lung cancer risk, mortality, health-system costs, and smoking trends using a deterministic, multi-cohort model. Incremental cost-effectiveness ratios (ICERs) were calculated for a lifetime horizon. RESULTS The ICER for lung screening compared to usual care in the NELSON-based scenario was AU$39,250 (95% CI $18,150-108,300) per quality-adjusted life year (QALY); lower than the NLST-based estimate (ICER = $76,300, 95% CI $41,750-236,500). In probabilistic sensitivity analyses, lung screening was cost-effective in 15%/60% of NELSON-like simulations, assuming a willingness-to-pay threshold of $30,000/$50,000 per QALY, respectively, compared to 0.5%/6.7% for the NLST. ICERs were most sensitive to assumptions regarding the screening-related lung cancer mortality benefit and duration of benefit over time. The cost of screening had a larger impact on ICERs than the cost of treatment, even after quadrupling the 2006-2016 healthcare costs of stage IV lung cancer. DISCUSSION Lung screening could be cost-effective in Australia, contingent on translating trial-like lung cancer mortality benefits to the clinic.
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Affiliation(s)
- Silvia Behar Harpaz
- The Daffodil Centre, the University of Sydney, A joint venture with Cancer Council NSW, Sydney, NSW, Australia.
| | - Marianne F Weber
- The Daffodil Centre, the University of Sydney, A joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Stephen Wade
- The Daffodil Centre, the University of Sydney, A joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Preston J Ngo
- The Daffodil Centre, the University of Sydney, A joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Pavla Vaneckova
- The Daffodil Centre, the University of Sydney, A joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Peter E A Sarich
- The Daffodil Centre, the University of Sydney, A joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Sonya Cressman
- Faculty of Health Sciences, Simon Fraser University, Vancouver, BC, Canada
| | - Martin C Tammemagi
- Department of Health Sciences, Brock University, St Catharines, ON, Canada
| | - Kwun Fong
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia.,University of Queensland Thoracic Research Centre at The Prince Charles Hospital, Chermside, QLD, Australia
| | - Henry Marshall
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia.,University of Queensland Thoracic Research Centre at The Prince Charles Hospital, Chermside, QLD, Australia
| | | | - John R Zalcberg
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Michael Caruana
- The Daffodil Centre, the University of Sydney, A joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Karen Canfell
- The Daffodil Centre, the University of Sydney, A joint venture with Cancer Council NSW, Sydney, NSW, Australia
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Fabbro M, Hahn K, Novaes O, Ó'Grálaigh M, O'Mahony JF. Cost-Effectiveness Analyses of Lung Cancer Screening Using Low-Dose Computed Tomography: A Systematic Review Assessing Strategy Comparison and Risk Stratification. PHARMACOECONOMICS - OPEN 2022; 6:773-786. [PMID: 36040557 PMCID: PMC9596656 DOI: 10.1007/s41669-022-00346-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/23/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVES Our first study objective was to assess the range of lung cancer screening intervals compared within cost-effectiveness analyses (CEAs) of low-dose computed tomography (LDCT) and to examine the implications for the strategies identified as optimally cost effective; the second objective was to examine if and how risk subgroup-specific policies were considered. METHODS PubMed, Embase and Web of Science were searched for model-based CEAs of LDCT lung screening. The retrieved studies were assessed to examine if the analyses considered sufficient strategy variation to permit incremental estimation of cost effectiveness. Regarding risk selection, we examined if analyses considered alternative risk strata in separate analyses or as alternative risk-based eligibility criteria for screening. RESULTS The search identified 33 eligible CEAs, 23 of which only considered one screening frequency. Of the 10 analyses considering multiple screening intervals, only 4 included intervals longer than 2 years. Within the 10 studies considering multiple intervals, the optimal policy choice would differ in 5 if biennial intervals or longer had not been considered. Nineteen studies conducted risk subgroup analyses, 12 of which assumed that subgroup-specific policies were possible and 7 of which assumed that a common screening policy applies to all those screened. CONCLUSIONS The comparison of multiple strategies is recognised as good practice in CEA when seeking optimal policies. Studies that do include multiple intervals indicate that screening intervals longer than 1 year can be relevant. The omission of intervals of 2 years or longer from CEAs of LDCT screening could lead to the adoption of sub-optimal policies. There also is scope for greater consideration of risk-stratified policies which tailor screening intensity to estimated disease risk. Policy makers should take care when interpreting current evidence before implementing lung screening.
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Affiliation(s)
- Matthew Fabbro
- School of Medicine, Trinity College Dublin, 2-4 Foster Place, Dublin, Ireland
| | - Kirah Hahn
- School of Medicine, Trinity College Dublin, 2-4 Foster Place, Dublin, Ireland
| | - Olivia Novaes
- School of Medicine, Trinity College Dublin, 2-4 Foster Place, Dublin, Ireland
| | - Mícheál Ó'Grálaigh
- School of Medicine, Trinity College Dublin, 2-4 Foster Place, Dublin, Ireland
| | - James F O'Mahony
- School of Medicine, Trinity College Dublin, 2-4 Foster Place, Dublin, Ireland.
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Ngo PJ, Wade S, Vaneckova P, Behar-Harpaz S, Caruana M, Cressman S, Tammemagi M, Karikios D, Canfell K, Weber M. Health utilities for participants in a population-based sample who meet eligibility criteria for lung cancer screening. Lung Cancer 2022; 169:47-54. [DOI: 10.1016/j.lungcan.2022.05.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/05/2022] [Accepted: 05/10/2022] [Indexed: 12/17/2022]
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