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CMOST: an open-source framework for the microsimulation of colorectal cancer screening strategies
BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer-related mortality. CRC incidence and mortality can be reduced by several screening strategies, including colonoscopy, but randomized CRC prevention trials face significant obstacles such as the need for large study populations with lon...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460500/ https://www.ncbi.nlm.nih.gov/pubmed/28583127 http://dx.doi.org/10.1186/s12911-017-0458-9 |
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author | Prakash, Meher K. Lang, Brian Heinrich, Henriette Valli, Piero V. Bauerfeind, Peter Sonnenberg, Amnon Beerenwinkel, Niko Misselwitz, Benjamin |
author_facet | Prakash, Meher K. Lang, Brian Heinrich, Henriette Valli, Piero V. Bauerfeind, Peter Sonnenberg, Amnon Beerenwinkel, Niko Misselwitz, Benjamin |
author_sort | Prakash, Meher K. |
collection | PubMed |
description | BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer-related mortality. CRC incidence and mortality can be reduced by several screening strategies, including colonoscopy, but randomized CRC prevention trials face significant obstacles such as the need for large study populations with long follow-up. Therefore, CRC screening strategies will likely be designed and optimized based on computer simulations. Several computational microsimulation tools have been reported for estimating efficiency and cost-effectiveness of CRC prevention. However, none of these tools is publicly available. There is a need for an open source framework to answer practical questions including testing of new screening interventions and adapting findings to local conditions. METHODS: We developed and implemented a new microsimulation model, Colon Modeling Open Source Tool (CMOST), for modeling the natural history of CRC, simulating the effects of CRC screening interventions, and calculating the resulting costs. CMOST facilitates automated parameter calibration against epidemiological adenoma prevalence and CRC incidence data. RESULTS: Predictions of CMOST were highly similar compared to a large endoscopic CRC prevention study as well as predictions of existing microsimulation models. We applied CMOST to calculate the optimal timing of a screening colonoscopy. CRC incidence and mortality are reduced most efficiently by a colonoscopy between the ages of 56 and 59; while discounted life years gained (LYG) is maximal at 49–50 years. With a dwell time of 13 years, the most cost-effective screening is at 59 years, at $17,211 discounted USD per LYG. While cost-efficiency varied according to dwell time it did not influence the optimal time point of screening interventions within the tested range. CONCLUSIONS: Predictions of CMOST are highly similar compared to a randomized CRC prevention trial as well as those of other microsimulation tools. This open source tool will enable health-economics analyses in for various countries, health-care scenarios and CRC prevention strategies. CMOST is freely available under the GNU General Public License at https://gitlab.com/misselwb/CMOST ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12911-017-0458-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5460500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54605002017-06-07 CMOST: an open-source framework for the microsimulation of colorectal cancer screening strategies Prakash, Meher K. Lang, Brian Heinrich, Henriette Valli, Piero V. Bauerfeind, Peter Sonnenberg, Amnon Beerenwinkel, Niko Misselwitz, Benjamin BMC Med Inform Decis Mak Technical Advance BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer-related mortality. CRC incidence and mortality can be reduced by several screening strategies, including colonoscopy, but randomized CRC prevention trials face significant obstacles such as the need for large study populations with long follow-up. Therefore, CRC screening strategies will likely be designed and optimized based on computer simulations. Several computational microsimulation tools have been reported for estimating efficiency and cost-effectiveness of CRC prevention. However, none of these tools is publicly available. There is a need for an open source framework to answer practical questions including testing of new screening interventions and adapting findings to local conditions. METHODS: We developed and implemented a new microsimulation model, Colon Modeling Open Source Tool (CMOST), for modeling the natural history of CRC, simulating the effects of CRC screening interventions, and calculating the resulting costs. CMOST facilitates automated parameter calibration against epidemiological adenoma prevalence and CRC incidence data. RESULTS: Predictions of CMOST were highly similar compared to a large endoscopic CRC prevention study as well as predictions of existing microsimulation models. We applied CMOST to calculate the optimal timing of a screening colonoscopy. CRC incidence and mortality are reduced most efficiently by a colonoscopy between the ages of 56 and 59; while discounted life years gained (LYG) is maximal at 49–50 years. With a dwell time of 13 years, the most cost-effective screening is at 59 years, at $17,211 discounted USD per LYG. While cost-efficiency varied according to dwell time it did not influence the optimal time point of screening interventions within the tested range. CONCLUSIONS: Predictions of CMOST are highly similar compared to a randomized CRC prevention trial as well as those of other microsimulation tools. This open source tool will enable health-economics analyses in for various countries, health-care scenarios and CRC prevention strategies. CMOST is freely available under the GNU General Public License at https://gitlab.com/misselwb/CMOST ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12911-017-0458-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-05 /pmc/articles/PMC5460500/ /pubmed/28583127 http://dx.doi.org/10.1186/s12911-017-0458-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Technical Advance Prakash, Meher K. Lang, Brian Heinrich, Henriette Valli, Piero V. Bauerfeind, Peter Sonnenberg, Amnon Beerenwinkel, Niko Misselwitz, Benjamin CMOST: an open-source framework for the microsimulation of colorectal cancer screening strategies |
title | CMOST: an open-source framework for the microsimulation of colorectal cancer screening strategies |
title_full | CMOST: an open-source framework for the microsimulation of colorectal cancer screening strategies |
title_fullStr | CMOST: an open-source framework for the microsimulation of colorectal cancer screening strategies |
title_full_unstemmed | CMOST: an open-source framework for the microsimulation of colorectal cancer screening strategies |
title_short | CMOST: an open-source framework for the microsimulation of colorectal cancer screening strategies |
title_sort | cmost: an open-source framework for the microsimulation of colorectal cancer screening strategies |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460500/ https://www.ncbi.nlm.nih.gov/pubmed/28583127 http://dx.doi.org/10.1186/s12911-017-0458-9 |
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