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Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study

BACKGROUND: Previous works have shown that risk factors are associated with an increased likelihood of colorectal cancer. OBJECTIVE: The purpose of this study was to detect these associations in the region of Lleida (Catalonia) by using multiple correspondence analysis (MCA) and k-means. METHODS: Th...

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Autores principales: Florensa, Dídac, Mateo-Fornés, Jordi, Solsona, Francesc, Pedrol Aige, Teresa, Mesas Julió, Miquel, Piñol, Ramon, Godoy, Pere
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346563/
https://www.ncbi.nlm.nih.gov/pubmed/35852835
http://dx.doi.org/10.2196/29056
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author Florensa, Dídac
Mateo-Fornés, Jordi
Solsona, Francesc
Pedrol Aige, Teresa
Mesas Julió, Miquel
Piñol, Ramon
Godoy, Pere
author_facet Florensa, Dídac
Mateo-Fornés, Jordi
Solsona, Francesc
Pedrol Aige, Teresa
Mesas Julió, Miquel
Piñol, Ramon
Godoy, Pere
author_sort Florensa, Dídac
collection PubMed
description BACKGROUND: Previous works have shown that risk factors are associated with an increased likelihood of colorectal cancer. OBJECTIVE: The purpose of this study was to detect these associations in the region of Lleida (Catalonia) by using multiple correspondence analysis (MCA) and k-means. METHODS: This cross-sectional study was made up of 1083 colorectal cancer episodes between 2012 and 2015, extracted from the population-based cancer registry for the province of Lleida (Spain), the Primary Care Centers database, and the Catalan Health Service Register. The data set included risk factors such as smoking and BMI as well as sociodemographic information and tumor details. The relations between the risk factors and patient characteristics were identified using MCA and k-means. RESULTS: The combination of these techniques helps to detect clusters of patients with similar risk factors. Risk of death is associated with being elderly and obesity or being overweight. Stage III cancer is associated with people aged ≥65 years and rural/semiurban populations, while younger people were associated with stage 0. CONCLUSIONS: MCA and k-means were significantly useful for detecting associations between risk factors and patient characteristics. These techniques have proven to be effective tools for analyzing the incidence of some factors in colorectal cancer. The outcomes obtained help corroborate suspected trends and stimulate the use of these techniques for finding the association of risk factors with the incidence of other cancers.
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spelling pubmed-93465632022-08-04 Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study Florensa, Dídac Mateo-Fornés, Jordi Solsona, Francesc Pedrol Aige, Teresa Mesas Julió, Miquel Piñol, Ramon Godoy, Pere J Med Internet Res Original Paper BACKGROUND: Previous works have shown that risk factors are associated with an increased likelihood of colorectal cancer. OBJECTIVE: The purpose of this study was to detect these associations in the region of Lleida (Catalonia) by using multiple correspondence analysis (MCA) and k-means. METHODS: This cross-sectional study was made up of 1083 colorectal cancer episodes between 2012 and 2015, extracted from the population-based cancer registry for the province of Lleida (Spain), the Primary Care Centers database, and the Catalan Health Service Register. The data set included risk factors such as smoking and BMI as well as sociodemographic information and tumor details. The relations between the risk factors and patient characteristics were identified using MCA and k-means. RESULTS: The combination of these techniques helps to detect clusters of patients with similar risk factors. Risk of death is associated with being elderly and obesity or being overweight. Stage III cancer is associated with people aged ≥65 years and rural/semiurban populations, while younger people were associated with stage 0. CONCLUSIONS: MCA and k-means were significantly useful for detecting associations between risk factors and patient characteristics. These techniques have proven to be effective tools for analyzing the incidence of some factors in colorectal cancer. The outcomes obtained help corroborate suspected trends and stimulate the use of these techniques for finding the association of risk factors with the incidence of other cancers. JMIR Publications 2022-07-19 /pmc/articles/PMC9346563/ /pubmed/35852835 http://dx.doi.org/10.2196/29056 Text en ©Dídac Florensa, Jordi Mateo-Fornés, Francesc Solsona, Teresa Pedrol Aige, Miquel Mesas Julió, Ramon Piñol, Pere Godoy. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 19.07.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Florensa, Dídac
Mateo-Fornés, Jordi
Solsona, Francesc
Pedrol Aige, Teresa
Mesas Julió, Miquel
Piñol, Ramon
Godoy, Pere
Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study
title Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study
title_full Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study
title_fullStr Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study
title_full_unstemmed Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study
title_short Use of Multiple Correspondence Analysis and K-means to Explore Associations Between Risk Factors and Likelihood of Colorectal Cancer: Cross-sectional Study
title_sort use of multiple correspondence analysis and k-means to explore associations between risk factors and likelihood of colorectal cancer: cross-sectional study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346563/
https://www.ncbi.nlm.nih.gov/pubmed/35852835
http://dx.doi.org/10.2196/29056
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