Overdiagnosis in Lung Cancer Screening, Cost-Effectiveness of Computed Tomography Screening for Lung Cancer, and Decision Analysis of Need for Biopsy-proven Diagnosis before Stereotactic Ablative Radiotherapy for Lung Cancer

2015 ◽  
Vol 192 (8) ◽  
pp. 1009-1011 ◽  
Author(s):  
Sarah Petteys ◽  
Joseph Zeman ◽  
Charles Stahlmann
2020 ◽  
Vol 135 ◽  
pp. 121-129 ◽  
Author(s):  
Yihui Du ◽  
Grigory Sidorenkov ◽  
Marjolein A. Heuvelmans ◽  
Harry J.M. Groen ◽  
Karin M. Vermeulen ◽  
...  

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
Z Voko ◽  
A Molnar ◽  
V Valay ◽  
M Moizs ◽  
A Kerpel-Fronius ◽  
...  

Abstract Background Hungary has the highest incidence of lung cancer in the world (GLOBOCAN, 2018). Since lung cancer is rarely treatable in its advanced stage, one possible way to reduce mortality is early diagnosis and subsequent treatment. The possibility and necessity of introducing low-dose computed tomography (LDCT) lung cancer screening as a public health programme is a current and relevant health policy issue. Methods A Markov cohort model was built to assess the cost-effectiveness of such a risk group screening programme in Hungary. The model was populated with transition probabilities and resource utilization data derived from the HUNCHEST Hungarian lung cancer screening trial. The model results are presented in incremental cost-effectiveness ratio. Results A closed cohort of 10,000 smokers with the average starting age of 59 years was followed over life-time horizon and screened for lung cancer annually until the age of 74. Compared to the current scenario of no organized lung cancer screening in Hungary, the model resulted in an additional 0.1614 life-year gained per individual and an additional 0.2924 disease-free life-year gained per individual with annual screening frequency. The incremental cost-effectiveness ratio was EUR 608 indicating that assessed intervention is cost-effective in the analyzed setting. Sensitivity analyses confirmed the robustness of the model results. Conclusions Results suggest that introducing low-dose computed tomography screening for lung cancer is a cost-effective intervention in Hungary. Considering the exceptionally high incidence and mortality of lung cancer in Hungary, the population could benefit from such a risk group screening programme. Key messages Low-dose computed tomography screening for lung cancer is cost-effectiveness in the Hungarian setting. Policy makers are encouraged to consider the introduction of a risk group screening programme.


2014 ◽  
Author(s):  
Doraid Jarrar ◽  
Grace Y. Song ◽  
Scott Swanson

Lung cancer is the leading cause of cancer deaths worldwide. Although lung cancer screening has been advocated, for a long time level 1 evidence has been absent, leaving physicians with the challenge of treating patients with mostly incurable disease. Even in 2014, the 5-year survival for lung cancer will only be around 16% despite sophisticated imaging and diagnostic tools. Physicians are thus taking a more proactive route, including early screening for lung cancer and efforts to curb tobacco use. This review discusses lung cancer screening in the context of the National Lung Screening Trial, risk of overdiagnosis, cost-effectiveness, U.S. Preventive Services Task Force recommendations, lung cancer screening in the community, improving the specificity of lung cancer screening, and treatment options for early-stage lung cancer. Tables review key principles of computed tomographic screening, cost-effectiveness of computer tomographic screening, predictors of malignancy in the Pan-Canadian screening study model, and follow-up and management of newly detected indeterminate nodules. Figures show common causes of cancer death in the United States, estimated new cancer cases and cancer deaths in men and women, a four-stage system used in clinical and surgical evaluation of lung cancer, secondary prevention lung cancer screening goals, and a low-dose computer tomographic scan. This review contains 5 figures, 4 tables, and 31 references.


2016 ◽  
Vol 14 (4) ◽  
pp. 409-418 ◽  
Author(s):  
Adam J. N. Raymakers ◽  
John Mayo ◽  
Stephen Lam ◽  
J. Mark FitzGerald ◽  
David G. T. Whitehurst ◽  
...  

2017 ◽  
Vol 158 (25) ◽  
pp. 963-975
Author(s):  
Zoltán Vokó ◽  
Magdolna Barra ◽  
Anett Molnár ◽  
Anna Kerpel-Fronius ◽  
Gábor Bajzik ◽  
...  

Abstract: Introduction: Lung cancer is a rapidly progressing, often life-threatening disease that constitutes a huge societal burden. Because of the scarce resources of the Hungarian health care system, the cost-effectiveness of introducing low-dose computed tomography screening is a relevant health policy matter. Aim: The aim of this study is to design a model concept for assessing the cost-effectiveness of low-dose computed tomography lung cancer screening in Hungary, and to define the required steps for performing the analysis. Method: A targeted literature review was conducted to identify and synthesize the evidence on efficacy and effectiveness of screening, and results were evaluated based on adaptability to Hungarian settings. We also summarized the available Hungarian scientific evidence and reconstructed the potential patient pathways. Results: In accordance with these findings, we recommend to perform the full health-economic evaluation of low-dose computed tomography lung cancer screening using a complex model structure that consists of several sub-models and is capable to follow the population at risk on life-time horizon. Conclusions: The proposed cost-effectiveness model will be suitable to provide data for further analyses that support decision-making on introducing low-dose computed tomography lung cancer screening as public health program. Orv Hetil. 2017; 158(25): 963–975.


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