Bradley, SH orcid.org/0000-0002-2038-2056, Shinkins, B orcid.org/0000-0001-5350-1018 and Kennedy, MPT (2021) What is the balance of benefits and harms for lung cancer screening with low-dose computed tomography? Journal of the Royal Society of Medicine, 114 (4). pp. 164-170. ISSN 0141-0768
Abstract
After the National Lung Screening Trial (NLST)1 demonstrated improved lung cancer mortality almost a decade ago, hopes have been raised that low-dose computed tomography could be used to detect lung cancer in asymptomatic populations and improve outcomes by reducing the number of people diagnosed with advanced disease. The publication of the long-awaited Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON) trial last year2 has provided further evidence of a lung cancer mortality benefit and has provoked further calls to implement national population-based screening programmes, but the case for lung cancer screening remains controversial.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Royal Society of Medicine 2021. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Health Economics (Leeds) |
Funding Information: | Funder Grant number NIHR National Inst Health Research Not Known Leeds Teaching Hospitals NHS Trust NIHR Surgical MIC MF |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jan 2021 14:20 |
Last Modified: | 15 Oct 2021 08:02 |
Status: | Published |
Publisher: | SAGE |
Identification Number: | 10.1177/0141076821991108 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169944 |