Construction and case study of a novel lung cancer risk index.
Analytic hierarchy processes
Lung cancer
Meta-analysis
Risk factors
Risk index
Journal
BMC cancer
ISSN: 1471-2407
Titre abrégé: BMC Cancer
Pays: England
ID NLM: 100967800
Informations de publication
Date de publication:
06 Dec 2022
06 Dec 2022
Historique:
received:
30
05
2022
accepted:
25
11
2022
entrez:
6
12
2022
pubmed:
7
12
2022
medline:
15
12
2022
Statut:
epublish
Résumé
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. 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 For both the LCRI and the LCRI 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.
Identifiants
pubmed: 36474178
doi: 10.1186/s12885-022-10370-4
pii: 10.1186/s12885-022-10370-4
pmc: PMC9724373
doi:
Types de publication
Meta-Analysis
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1275Informations de copyright
© 2022. The Author(s).
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