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  4. Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection
 
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Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection

Resource
BMC Med. Res. Methodol., 12
Journal
BMC Medical Research Methodology
Journal Volume
12
Date Issued
2012
Author(s)
Chang, Yun-Jau
KUO-PIAO CHUNG  
Chen, Li-Ju
Chang, Yao-Jen
Chung, Kuo-Piao  
Lai, Mei-Shu
DOI
10.1186/1471-2288-12-2
URI
http://www.scopus.com/inward/record.url?eid=2-s2.0-84855223506&partnerID=MN8TOARS
http://scholars.lib.ntu.edu.tw/handle/123456789/374556
Abstract
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. ? 2012 Chang et al; licensee BioMed Central Ltd.
Subjects
Colorectal Cancer; Recursive Partitioning Analysis; Survival Analysis
SDGs

[SDGs]SDG3

Other Subjects
adenocarcinoma; adjuvant therapy; adult; age distribution; aged; article; cancer staging; colorectal tumor; comorbidity; decision tree; disease free survival; female; human; male; metastasis; middle aged; mortality; multivariate analysis; prognosis; risk factor; sex ratio; survival rate; Taiwan; treatment outcome; Adenocarcinoma; Adult; Age Distribution; Aged; Colorectal Neoplasms; Comorbidity; Decision Trees; Disease-Free Survival; Female; Humans; Male; Middle Aged; Multivariate Analysis; Neoplasm Staging; Prognosis; Radiotherapy, Adjuvant; Risk Factors; Sex Distribution; Survival Rate; Taiwan; Treatment Outcome
Type
journal article
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