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Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges

Randomised clinical trials have shown the efficacy of computed tomography lung cancer screening, initiating discussions on whether and how to implement population‐based screening programs. Due to smoking behaviour being the primary risk‐factor for lung cancer and part of the criteria for determining...

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Autores principales: ten Haaf, Kevin, van der Aalst, Carlijn M., de Koning, Harry J., Kaaks, Rudolf, Tammemägi, Martin C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8251929/
https://www.ncbi.nlm.nih.gov/pubmed/33783822
http://dx.doi.org/10.1002/ijc.33578
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author ten Haaf, Kevin
van der Aalst, Carlijn M.
de Koning, Harry J.
Kaaks, Rudolf
Tammemägi, Martin C.
author_facet ten Haaf, Kevin
van der Aalst, Carlijn M.
de Koning, Harry J.
Kaaks, Rudolf
Tammemägi, Martin C.
author_sort ten Haaf, Kevin
collection PubMed
description Randomised clinical trials have shown the efficacy of computed tomography lung cancer screening, initiating discussions on whether and how to implement population‐based screening programs. Due to smoking behaviour being the primary risk‐factor for lung cancer and part of the criteria for determining screening eligibility, lung cancer screening is inherently risk‐based. In fact, the selection of high‐risk individuals has been shown to be essential in implementing lung cancer screening in a cost‐effective manner. Furthermore, studies have shown that further risk‐stratification may improve screening efficiency, allow personalisation of the screening interval and reduce health disparities. However, implementing risk‐based lung cancer screening programs also requires overcoming a number of challenges. There are indications that risk‐based approaches can negatively influence the trade‐off between individual benefits and harms if not applied thoughtfully. Large‐scale implementation of targeted, risk‐based screening programs has been limited thus far. Consequently, questions remain on how to efficiently identify and invite high‐risk individuals from the general population. Finally, while risk‐based approaches may increase screening program efficiency, efficiency should be balanced with the overall impact of the screening program. In this review, we will address the opportunities and challenges in applying risk‐stratification in different aspects of lung cancer screening programs, as well as the balance between screening program efficiency and impact.
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spelling pubmed-82519292021-07-07 Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges ten Haaf, Kevin van der Aalst, Carlijn M. de Koning, Harry J. Kaaks, Rudolf Tammemägi, Martin C. Int J Cancer Invited Review Series on Personalized Prevention Randomised clinical trials have shown the efficacy of computed tomography lung cancer screening, initiating discussions on whether and how to implement population‐based screening programs. Due to smoking behaviour being the primary risk‐factor for lung cancer and part of the criteria for determining screening eligibility, lung cancer screening is inherently risk‐based. In fact, the selection of high‐risk individuals has been shown to be essential in implementing lung cancer screening in a cost‐effective manner. Furthermore, studies have shown that further risk‐stratification may improve screening efficiency, allow personalisation of the screening interval and reduce health disparities. However, implementing risk‐based lung cancer screening programs also requires overcoming a number of challenges. There are indications that risk‐based approaches can negatively influence the trade‐off between individual benefits and harms if not applied thoughtfully. Large‐scale implementation of targeted, risk‐based screening programs has been limited thus far. Consequently, questions remain on how to efficiently identify and invite high‐risk individuals from the general population. Finally, while risk‐based approaches may increase screening program efficiency, efficiency should be balanced with the overall impact of the screening program. In this review, we will address the opportunities and challenges in applying risk‐stratification in different aspects of lung cancer screening programs, as well as the balance between screening program efficiency and impact. John Wiley & Sons, Inc. 2021-05-03 2021-07-15 /pmc/articles/PMC8251929/ /pubmed/33783822 http://dx.doi.org/10.1002/ijc.33578 Text en © 2021 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of Union for International Cancer Control. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Invited Review Series on Personalized Prevention
ten Haaf, Kevin
van der Aalst, Carlijn M.
de Koning, Harry J.
Kaaks, Rudolf
Tammemägi, Martin C.
Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges
title Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges
title_full Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges
title_fullStr Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges
title_full_unstemmed Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges
title_short Personalising lung cancer screening: An overview of risk‐stratification opportunities and challenges
title_sort personalising lung cancer screening: an overview of risk‐stratification opportunities and challenges
topic Invited Review Series on Personalized Prevention
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8251929/
https://www.ncbi.nlm.nih.gov/pubmed/33783822
http://dx.doi.org/10.1002/ijc.33578
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