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Construction and case study of a novel lung cancer risk index
PURPOSE: This study constructs a lung cancer risk index (LCRI) that incorporates many modifiable risk factors using an easily reproducible and adaptable method that relies on publicly available data. METHODS: We used meta-analysis followed by Analytic Hierarchy Process (AHP) to generate a lung cance...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724373/ https://www.ncbi.nlm.nih.gov/pubmed/36474178 http://dx.doi.org/10.1186/s12885-022-10370-4 |
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author | Faghani, Ali Guo, Lei Wright, Margaret E. Hughes, M. Courtney Vaezi, Mahdi |
author_facet | Faghani, Ali Guo, Lei Wright, Margaret E. Hughes, M. Courtney Vaezi, Mahdi |
author_sort | Faghani, Ali |
collection | PubMed |
description | PURPOSE: This study constructs a lung cancer risk index (LCRI) that incorporates many modifiable risk factors using an easily reproducible and adaptable method that relies on publicly available data. METHODS: We used meta-analysis followed by Analytic Hierarchy Process (AHP) to generate a lung cancer risk index (LCRI) that incorporates seven modifiable risk factors (active smoking, indoor air pollution, occupational exposure, alcohol consumption, secondhand smoke exposure, outdoor air pollution, and radon exposure) for lung cancer. Using county-level population data, we then performed a case study in which we tailored the LCRI for use in the state of Illinois (LCRI(IL)). RESULTS: For both the LCRI and the LCRI(IL), active smoking had the highest weights (46.1% and 70%, respectively), whereas radon had the lowest weights (3.0% and 5.7%, respectively). The weights for alcohol consumption were 7.8% and 14.7% for the LCRI and the LCRI(IL), respectively, and were 3.8% and 0.95% for outdoor air pollution. Three variables were only included in the LCRI: indoor air pollution (18.5%), occupational exposure (13.2%), and secondhand smoke exposure (7.6%). The Consistency Ratio (CR) was well below the 0.1 cut point. The LCRI(IL) was moderate though significantly correlated with age-adjusted lung cancer incidence (r = 0.449, P < 0.05) and mortality rates (r = 0.495, P < 0.05). CONCLUSION: This study presents an index that incorporates multiple modifiable risk factors for lung cancer into one composite score. Since the LCRI allows data comprising the composite score to vary based on the location of interest, this measurement tool can be used for any geographic location where population-based data for individual risk factors exist. Researchers, policymakers, and public health professionals may utilize this framework to determine areas that are most in need of lung cancer-related interventions and resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10370-4. |
format | Online Article Text |
id | pubmed-9724373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97243732022-12-07 Construction and case study of a novel lung cancer risk index Faghani, Ali Guo, Lei Wright, Margaret E. Hughes, M. Courtney Vaezi, Mahdi BMC Cancer Research PURPOSE: This study constructs a lung cancer risk index (LCRI) that incorporates many modifiable risk factors using an easily reproducible and adaptable method that relies on publicly available data. METHODS: We used meta-analysis followed by Analytic Hierarchy Process (AHP) to generate a lung cancer risk index (LCRI) that incorporates seven modifiable risk factors (active smoking, indoor air pollution, occupational exposure, alcohol consumption, secondhand smoke exposure, outdoor air pollution, and radon exposure) for lung cancer. Using county-level population data, we then performed a case study in which we tailored the LCRI for use in the state of Illinois (LCRI(IL)). RESULTS: For both the LCRI and the LCRI(IL), active smoking had the highest weights (46.1% and 70%, respectively), whereas radon had the lowest weights (3.0% and 5.7%, respectively). The weights for alcohol consumption were 7.8% and 14.7% for the LCRI and the LCRI(IL), respectively, and were 3.8% and 0.95% for outdoor air pollution. Three variables were only included in the LCRI: indoor air pollution (18.5%), occupational exposure (13.2%), and secondhand smoke exposure (7.6%). The Consistency Ratio (CR) was well below the 0.1 cut point. The LCRI(IL) was moderate though significantly correlated with age-adjusted lung cancer incidence (r = 0.449, P < 0.05) and mortality rates (r = 0.495, P < 0.05). CONCLUSION: This study presents an index that incorporates multiple modifiable risk factors for lung cancer into one composite score. Since the LCRI allows data comprising the composite score to vary based on the location of interest, this measurement tool can be used for any geographic location where population-based data for individual risk factors exist. Researchers, policymakers, and public health professionals may utilize this framework to determine areas that are most in need of lung cancer-related interventions and resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10370-4. BioMed Central 2022-12-06 /pmc/articles/PMC9724373/ /pubmed/36474178 http://dx.doi.org/10.1186/s12885-022-10370-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Faghani, Ali Guo, Lei Wright, Margaret E. Hughes, M. Courtney Vaezi, Mahdi Construction and case study of a novel lung cancer risk index |
title | Construction and case study of a novel lung cancer risk index |
title_full | Construction and case study of a novel lung cancer risk index |
title_fullStr | Construction and case study of a novel lung cancer risk index |
title_full_unstemmed | Construction and case study of a novel lung cancer risk index |
title_short | Construction and case study of a novel lung cancer risk index |
title_sort | construction and case study of a novel lung cancer risk index |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724373/ https://www.ncbi.nlm.nih.gov/pubmed/36474178 http://dx.doi.org/10.1186/s12885-022-10370-4 |
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