PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of bmcmrmBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Medical Research Methodology
 
BMC Med Res Methodol. 2012; 12: 2.
Published online 2012 January 3. doi:  10.1186/1471-2288-12-2
PMCID: PMC3286393
Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection
Yun-Jau Chang,1,2,3 Li-Ju Chen,1,4 Yao-Jen Chang,5 Kuo-Piao Chung,corresponding author1 and Mei-Shu Lai6
1Graduate Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan
2Department of General Surgery, Zhong-Xing Branch, Taipei City Hospital, Taipei, Taiwan
3Department of General Surgery, National Taiwan University Hospital, Taipei, Taiwan
4Department of Ophthalmology, HepingFuyou Branch, Taipei City Hospital, Taipei, Taiwan
5Department of Surgery, Taipei Branch, Buddhist Tzu Chi General Hospital, Taipei, Taiwan
6Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
corresponding authorCorresponding author.
Yun-Jau Chang: yunjauchang2003/at/yahoo.com.tw; Li-Ju Chen: lijuchen2003/at/yahoo.com; Yao-Jen Chang: yunjauchang2003/at/yahoo.com.tw; Kuo-Piao Chung: kpchung/at/ntu.edu.tw; Mei-Shu Lai: mslai/at/ntu.edu.tw
Received June 16, 2011; Accepted January 3, 2012.
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.
Keywords: Recursive Partitioning Analysis, Colorectal Cancer, Survival Analysis
Articles from BMC Medical Research Methodology are provided here courtesy of
BioMed Central