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Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach

Evaluating the magnitude of overdiagnosis associated with stool-based service screening for colorectal cancer (CRC) beyond a randomized controlled trial is often intractable and understudied. We aim to estimate the proportion of overdiagnosis in population-based service screening programs for CRC wi...

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Autores principales: Lin, Ting-Yu, Chiu, Sherry Yueh-Hsia, Liao, Ling-Chun, Chen, Sam Li-Sheng, Chiu, Han-Mo, Chen, Tony Hsiu-Hsi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918445/
https://www.ncbi.nlm.nih.gov/pubmed/36765093
http://dx.doi.org/10.1038/s41746-023-00763-5
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author Lin, Ting-Yu
Chiu, Sherry Yueh-Hsia
Liao, Ling-Chun
Chen, Sam Li-Sheng
Chiu, Han-Mo
Chen, Tony Hsiu-Hsi
author_facet Lin, Ting-Yu
Chiu, Sherry Yueh-Hsia
Liao, Ling-Chun
Chen, Sam Li-Sheng
Chiu, Han-Mo
Chen, Tony Hsiu-Hsi
author_sort Lin, Ting-Yu
collection PubMed
description Evaluating the magnitude of overdiagnosis associated with stool-based service screening for colorectal cancer (CRC) beyond a randomized controlled trial is often intractable and understudied. We aim to estimate the proportion of overdiagnosis in population-based service screening programs for CRC with the fecal immunochemical test (FIT). The natural process of overdiagnosis-embedded disease was first built up to learn transition parameters that quantify the pathway of non-progressive and progressive screen-detected cases calibrated with sensitivity, while also taking competing mortality into account. The Markov algorithms were then developed for estimating these transition parameters based on Taiwan FIT service CRC screening data on 5,417,699 residents aged 50–69 years from 2004 to 2014. Following the digital twin design with the parallel universe structure for emulating the randomized controlled trial, the screened twin, mirroring the control group without screening, was virtually recreated by the application of the above-mentioned trained parameters to predict CRC cases containing overdiagnosis. The ratio of the predicted CRCs derived from the screened twin to the observed CRCs of the control group minus 1 was imputed to measure the extent of overdiagnosis. The extent of overdiagnosis for invasive CRCs resulting from FIT screening is 4.16% (95% CI: 2.61–5.78%). The corresponding figure is increased to 9.90% (95% CI: 8.41–11.42%) for including high grade dysplasia (HGD) and further inflated to 15.83% (95% CI: 15.23–16.46%) when the removal adenoma is considered. The modest proportion of overdiagnosis modelled by the digital twin method, dispensing with the randomized controlled trial design, suggests the harm done to population-based FIT service screening is negligible.
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spelling pubmed-99184452023-02-12 Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach Lin, Ting-Yu Chiu, Sherry Yueh-Hsia Liao, Ling-Chun Chen, Sam Li-Sheng Chiu, Han-Mo Chen, Tony Hsiu-Hsi NPJ Digit Med Article Evaluating the magnitude of overdiagnosis associated with stool-based service screening for colorectal cancer (CRC) beyond a randomized controlled trial is often intractable and understudied. We aim to estimate the proportion of overdiagnosis in population-based service screening programs for CRC with the fecal immunochemical test (FIT). The natural process of overdiagnosis-embedded disease was first built up to learn transition parameters that quantify the pathway of non-progressive and progressive screen-detected cases calibrated with sensitivity, while also taking competing mortality into account. The Markov algorithms were then developed for estimating these transition parameters based on Taiwan FIT service CRC screening data on 5,417,699 residents aged 50–69 years from 2004 to 2014. Following the digital twin design with the parallel universe structure for emulating the randomized controlled trial, the screened twin, mirroring the control group without screening, was virtually recreated by the application of the above-mentioned trained parameters to predict CRC cases containing overdiagnosis. The ratio of the predicted CRCs derived from the screened twin to the observed CRCs of the control group minus 1 was imputed to measure the extent of overdiagnosis. The extent of overdiagnosis for invasive CRCs resulting from FIT screening is 4.16% (95% CI: 2.61–5.78%). The corresponding figure is increased to 9.90% (95% CI: 8.41–11.42%) for including high grade dysplasia (HGD) and further inflated to 15.83% (95% CI: 15.23–16.46%) when the removal adenoma is considered. The modest proportion of overdiagnosis modelled by the digital twin method, dispensing with the randomized controlled trial design, suggests the harm done to population-based FIT service screening is negligible. Nature Publishing Group UK 2023-02-10 /pmc/articles/PMC9918445/ /pubmed/36765093 http://dx.doi.org/10.1038/s41746-023-00763-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lin, Ting-Yu
Chiu, Sherry Yueh-Hsia
Liao, Ling-Chun
Chen, Sam Li-Sheng
Chiu, Han-Mo
Chen, Tony Hsiu-Hsi
Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach
title Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach
title_full Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach
title_fullStr Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach
title_full_unstemmed Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach
title_short Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach
title_sort assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918445/
https://www.ncbi.nlm.nih.gov/pubmed/36765093
http://dx.doi.org/10.1038/s41746-023-00763-5
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