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Modeling and Control of Colorectal Cancer

Colorectal Cancer (CRC) is becoming a major threat to people’s life in China. Screening methods adopted by many other countries as effective counter-cancer methods have not been explicitly explored for people there. Thus, we present a Markov model with detailed precancerous adenoma states and then e...

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Detalles Bibliográficos
Autores principales: Song, Li-Peng, Wang, Hao-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990263/
https://www.ncbi.nlm.nih.gov/pubmed/27536786
http://dx.doi.org/10.1371/journal.pone.0161349
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author Song, Li-Peng
Wang, Hao-Yu
author_facet Song, Li-Peng
Wang, Hao-Yu
author_sort Song, Li-Peng
collection PubMed
description Colorectal Cancer (CRC) is becoming a major threat to people’s life in China. Screening methods adopted by many other countries as effective counter-cancer methods have not been explicitly explored for people there. Thus, we present a Markov model with detailed precancerous adenoma states and then evaluate various screening strategies in this paper. Different from current researches, our model considers the population’s heterogeneous risk of developing adenomas and observation-based screening strategies. Furthermore, we also give a new cost-effectiveness metric. After calibrating, the model is simulated using the Monte Carlo method. Numerical results show that there are threshold values of compliance rates below which strategy with every ten-year colonoscopy becomes the most cost-effective method; otherwise, an observation-based screening strategy is the most cost-effective. We also find that strategy with single colonoscopy for adenoma-free individuals and every three-year colonoscopy for those with adenoma is recommended when the observation-based strategy is not considered. Our findings give an explicit and complete instruction in CRC screening protocol in average-risk Chinese.
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spelling pubmed-49902632016-08-29 Modeling and Control of Colorectal Cancer Song, Li-Peng Wang, Hao-Yu PLoS One Research Article Colorectal Cancer (CRC) is becoming a major threat to people’s life in China. Screening methods adopted by many other countries as effective counter-cancer methods have not been explicitly explored for people there. Thus, we present a Markov model with detailed precancerous adenoma states and then evaluate various screening strategies in this paper. Different from current researches, our model considers the population’s heterogeneous risk of developing adenomas and observation-based screening strategies. Furthermore, we also give a new cost-effectiveness metric. After calibrating, the model is simulated using the Monte Carlo method. Numerical results show that there are threshold values of compliance rates below which strategy with every ten-year colonoscopy becomes the most cost-effective method; otherwise, an observation-based screening strategy is the most cost-effective. We also find that strategy with single colonoscopy for adenoma-free individuals and every three-year colonoscopy for those with adenoma is recommended when the observation-based strategy is not considered. Our findings give an explicit and complete instruction in CRC screening protocol in average-risk Chinese. Public Library of Science 2016-08-18 /pmc/articles/PMC4990263/ /pubmed/27536786 http://dx.doi.org/10.1371/journal.pone.0161349 Text en © 2016 Song, Wang http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Song, Li-Peng
Wang, Hao-Yu
Modeling and Control of Colorectal Cancer
title Modeling and Control of Colorectal Cancer
title_full Modeling and Control of Colorectal Cancer
title_fullStr Modeling and Control of Colorectal Cancer
title_full_unstemmed Modeling and Control of Colorectal Cancer
title_short Modeling and Control of Colorectal Cancer
title_sort modeling and control of colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990263/
https://www.ncbi.nlm.nih.gov/pubmed/27536786
http://dx.doi.org/10.1371/journal.pone.0161349
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