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Joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction
Curing of colorectal cancer (CRC) occurs at the time of resection but it is not immediately observable. If the cancer is not completely eliminated, the patient will not be cured of cancer and will experience recurrence as the tumor has regrown to a detectable size. The main propose of the present st...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806811/ https://www.ncbi.nlm.nih.gov/pubmed/33441746 http://dx.doi.org/10.1038/s41598-020-79969-6 |
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author | Alafchi, Behnaz Roshanaei, Ghodratollah Tapak, Leili Abbasi, Mohammad Mahjub, Hossein |
author_facet | Alafchi, Behnaz Roshanaei, Ghodratollah Tapak, Leili Abbasi, Mohammad Mahjub, Hossein |
author_sort | Alafchi, Behnaz |
collection | PubMed |
description | Curing of colorectal cancer (CRC) occurs at the time of resection but it is not immediately observable. If the cancer is not completely eliminated, the patient will not be cured of cancer and will experience recurrence as the tumor has regrown to a detectable size. The main propose of the present study was to assess the effects of different covariates on the probability of being cured as well as the time-to-recurrence, and time-to-death in CRC patients by using multi-state cure model. The information of 283 patients with CRC, who underwent resection, from 2000 to 2015 in Imam Khomeini Hospital of Hamadan, Iran, were analyzed. The results of multi-state cure model reveal that females and who experience metastasis were more likely to be apparently cured. It has been shown that sex has a significant effect on the time-to-recurrence given patient was in the not cured group. The survival time of patients of the not cured group was affected by the stage of disease. However, the survival of the apparently cured patients were affected by age at diagnosis and metastasis status. The multi-state cure model provided a flexible framework to study the effects of prognostic factors simultaneously on the transition between different states and the probability of being apparently cured of CRC. |
format | Online Article Text |
id | pubmed-7806811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78068112021-01-14 Joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction Alafchi, Behnaz Roshanaei, Ghodratollah Tapak, Leili Abbasi, Mohammad Mahjub, Hossein Sci Rep Article Curing of colorectal cancer (CRC) occurs at the time of resection but it is not immediately observable. If the cancer is not completely eliminated, the patient will not be cured of cancer and will experience recurrence as the tumor has regrown to a detectable size. The main propose of the present study was to assess the effects of different covariates on the probability of being cured as well as the time-to-recurrence, and time-to-death in CRC patients by using multi-state cure model. The information of 283 patients with CRC, who underwent resection, from 2000 to 2015 in Imam Khomeini Hospital of Hamadan, Iran, were analyzed. The results of multi-state cure model reveal that females and who experience metastasis were more likely to be apparently cured. It has been shown that sex has a significant effect on the time-to-recurrence given patient was in the not cured group. The survival time of patients of the not cured group was affected by the stage of disease. However, the survival of the apparently cured patients were affected by age at diagnosis and metastasis status. The multi-state cure model provided a flexible framework to study the effects of prognostic factors simultaneously on the transition between different states and the probability of being apparently cured of CRC. Nature Publishing Group UK 2021-01-13 /pmc/articles/PMC7806811/ /pubmed/33441746 http://dx.doi.org/10.1038/s41598-020-79969-6 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Alafchi, Behnaz Roshanaei, Ghodratollah Tapak, Leili Abbasi, Mohammad Mahjub, Hossein Joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction |
title | Joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction |
title_full | Joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction |
title_fullStr | Joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction |
title_full_unstemmed | Joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction |
title_short | Joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction |
title_sort | joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806811/ https://www.ncbi.nlm.nih.gov/pubmed/33441746 http://dx.doi.org/10.1038/s41598-020-79969-6 |
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