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Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection
BACKGROUND: To define different prognostic groups of surgical colorectal adenocarcinoma patients derived from recursive partitioning analysis (RPA). METHODS: Ten thousand four hundred ninety four patients with colorectal adenocarcinoma underwent colorectal resection from Taiwan Cancer Database durin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3286393/ https://www.ncbi.nlm.nih.gov/pubmed/22214198 http://dx.doi.org/10.1186/1471-2288-12-2 |
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author | Chang, Yun-Jau Chen, Li-Ju Chang, Yao-Jen Chung, Kuo-Piao Lai, Mei-Shu |
author_facet | Chang, Yun-Jau Chen, Li-Ju Chang, Yao-Jen Chung, Kuo-Piao Lai, Mei-Shu |
author_sort | Chang, Yun-Jau |
collection | PubMed |
description | BACKGROUND: To define different prognostic groups of surgical colorectal adenocarcinoma patients derived from recursive partitioning analysis (RPA). METHODS: Ten thousand four hundred ninety four patients with colorectal adenocarcinoma underwent colorectal resection from Taiwan Cancer Database during 2003 to 2005 were included in this study. Exclusion criteria included those patients with stage IV disease or without number information of lymph nodes. For the definition of risk groups, the method of classification and regression tree was performed. Main primary outcome was 5-year cancer-specific survival. RESULTS: We identified six prognostic factors for cancer-specific survival, resulting in seven terminal nodes. Four risk groups were defined as following: Group 1 (mild risk, 1,698 patients), Group 2 (moderate risk, 3,129 patients), Group 3 (high risk, 4,605 patients) and Group 4 (very high risk, 1,062 patients). The 5-year cancer-specific survival for Group 1, 2, 3, and 4 was 86.6%, 62.7%, 55.9%, and 36.6%, respectively (p < 0.001). Hazard ratio of death was 2.13, 5.52 and 10.56 (95% confidence interval 1.74-2.60, 4.58-6.66 and 8.66-12.9, respectively) times for Group 2, 3, and 4 as compared to Group 1. The predictive capability of these grouping was also similar in terms of overall and progression-free survival. CONCLUSION: The use of RPA offered an alternative grouping method that could predict the survival of patients who underwent surgery for colorectal adenocarcinoma. |
format | Online Article Text |
id | pubmed-3286393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32863932012-02-25 Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection Chang, Yun-Jau Chen, Li-Ju Chang, Yao-Jen Chung, Kuo-Piao Lai, Mei-Shu BMC Med Res Methodol Research Article BACKGROUND: To define different prognostic groups of surgical colorectal adenocarcinoma patients derived from recursive partitioning analysis (RPA). METHODS: Ten thousand four hundred ninety four patients with colorectal adenocarcinoma underwent colorectal resection from Taiwan Cancer Database during 2003 to 2005 were included in this study. Exclusion criteria included those patients with stage IV disease or without number information of lymph nodes. For the definition of risk groups, the method of classification and regression tree was performed. Main primary outcome was 5-year cancer-specific survival. RESULTS: We identified six prognostic factors for cancer-specific survival, resulting in seven terminal nodes. Four risk groups were defined as following: Group 1 (mild risk, 1,698 patients), Group 2 (moderate risk, 3,129 patients), Group 3 (high risk, 4,605 patients) and Group 4 (very high risk, 1,062 patients). The 5-year cancer-specific survival for Group 1, 2, 3, and 4 was 86.6%, 62.7%, 55.9%, and 36.6%, respectively (p < 0.001). Hazard ratio of death was 2.13, 5.52 and 10.56 (95% confidence interval 1.74-2.60, 4.58-6.66 and 8.66-12.9, respectively) times for Group 2, 3, and 4 as compared to Group 1. The predictive capability of these grouping was also similar in terms of overall and progression-free survival. CONCLUSION: The use of RPA offered an alternative grouping method that could predict the survival of patients who underwent surgery for colorectal adenocarcinoma. BioMed Central 2012-01-03 /pmc/articles/PMC3286393/ /pubmed/22214198 http://dx.doi.org/10.1186/1471-2288-12-2 Text en Copyright ©2012 Chang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chang, Yun-Jau Chen, Li-Ju Chang, Yao-Jen Chung, Kuo-Piao Lai, Mei-Shu Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection |
title | Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection |
title_full | Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection |
title_fullStr | Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection |
title_full_unstemmed | Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection |
title_short | Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection |
title_sort | risk groups defined by recursive partitioning analysis of patients with colorectal adenocarcinoma treated with colorectal resection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3286393/ https://www.ncbi.nlm.nih.gov/pubmed/22214198 http://dx.doi.org/10.1186/1471-2288-12-2 |
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