+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Multi-variate regression analysis of clinicopathological characteristics and prognosis of colorectal cancer



Multi-variate regression analysis of clinicopathological characteristics and prognosis of colorectal cancer



Zhonghua Zhong Liu Za Zhi 25(1): 59-61



Objective To evaluate the relationship between clinicopathologic features and prognosis of colorectal cancer after surgical treatment. Methods The clinical characteristics, pathologic features and survival rate of 761 patients with colorectal cancer after surgical treatment were univariately and multivariately analyzed. Results The overall 3-and 5-year survival rates of patients with colorectal cancer after surgical treatment were 62.9% and 60.7% with a median survival of 1 825 days. The factors of gross findings, degree of differentiation, infiltration, nodal and distant metastasis and neoplastic intestinal obstruction influenced the survival rate by univariate analysis. The factors of Dukes stage, gross tumor configuration, intramural spread and differentiation degree were available independent prognostic factors through multivariate analysis. Conclusion Dukes stage, as the most important available independent prognostic factor (P < 0.0005), is able to assess the postoperative survival.

Please choose payment method:






(PDF emailed within 1 workday: $29.90)

Accession: 011022282

Download citation: RISBibTeXText

PMID: 12678990


Related references

Clinicopathological characteristics and prognosis analysis of colorectal synchronous multiple primary cancer. Zhonghua Wei Chang Wai Ke Za Zhi 21(1): 41-45, 2018

Does overexpression of HER-2 correlate with clinicopathological characteristics and prognosis in colorectal cancer? Evidence from a meta-analysis. Diagnostic Pathology 10: 144, 2015

Clinicopathological characteristics of colorectal cancer complicated with type 2 diabetes mellitus: analysis of clinicopathological data from 3, 202 colorectal cancer patients. Zhonghua Zhong Liu Za Zhi 36(1): 74-77, 2014

An Elevated Platelet-to-Lymphocyte Ratio Predicts Poor Prognosis and Clinicopathological Characteristics in Patients with Colorectal Cancer: A Meta-Analysis. Disease Markers 2017: 1053125, 2017

A multi variate analysis of the contribution of auxometry to prognosis in breast cancer. Journal of Chronic Diseases 32(5): 375-384, 1979

Factors associated with prognosis in human breast cancer 2. multi variate stratification analysis. Neoplasma (Bratislava) 30(4): 485-492, 1983

Clinicopathological characteristics and prognosis of schistosomal colorectal cancer. Colorectal Disease 18(10): 1005-1009, 2016

Clinicopathological characteristics and prognosis of stage IV colorectal cancer. Molecular and Clinical Oncology 3(5): 1093-1098, 2015

Clinicopathological characteristics and prognosis of patients with recurrent colorectal cancer. Zhonghua Wei Chang Wai Ke Za Zhi 9(6): 492-494, 2006

Clinicopathological Characteristics and Prognosis of Colorectal Cancer in Chinese Adolescent Patients. Chinese Medical Journal 128(23): 3149-3152, 2015

Clinicopathological characteristics and prognosis of patients according to recurrence time after curative resection for colorectal cancer. Asian Pacific Journal of Cancer Prevention 15(21): 9277-9281, 2014

Comparison of clinicopathological characteristics and prognosis between early and late recurrence after curative surgery for colorectal cancer. American Journal of Surgery 207(6): 922-930, 2014

Clinicopathological characteristics and prognosis analysis of colorectal neuroendocrine neoplasms based on the data from domestic six medical centers. Zhonghua Wei Chang Wai Ke Za Zhi 19(11): 1235-1240, 2016

Flow cytometric DNA analysis in colorectal cancer and its relationship to clinicopathological features and prognosis. Journal of the Japan Society of Coloproctology 48(2): 85-96, 1995

Regression analysis of multi variate failure time data. Biometrika 68(2): 373-380, 1981