Volume 6, Number 3 (11 2010)                   irje 2010, 6(3): 35-49 | Back to browse issues page


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Asghari Jafarabadi M, Hajizadeh E, Kazemnejad A, Fatemi S. Comparison the Role of BMI, Pathologic Stage and Hereditary Related Factors on Survival between Colon and Rectal Cancers: Frailty Competing Risks Model. irje. 2010; 6 (3) :35-49
URL: http://irje.tums.ac.ir/article-1-76-en.html

Abstract:   (8601 Views)
Background & Objectives: Cholera is always being considered as a public health threat in poor and developing countries. However outbreaks of cholera are not very common in central area of Iran in 2008 district health authority reported a cluster of diarrhea cases. We investigated this cluster to identify the etiological agent, source of transmission and propose control measures.
Methods: We analyzed the data of total of 1219 patients with colorectal cancer who registered between 1 January 2002 to 1 October 2007. Data were analyzed using univariate and multivariate Accelerated Failure Time (AFT) parametric survival model with frailty, utilizing STATA statistical software.
Results: In the univariate analysis for age at diagnosis, gender, marital status, race and education level, the survival of patients with colon cancer were approximately between half to one fourth and for BMI, alcohol history, Inflammatory Bowel Disease (IBD), familial history of cancer and the pathologic stage of tumor, the survival of patients with colon cancer were significantly (between 0.12 to 0.56 times) shorter than those patients with rectal cancer. In the multivariate analysis, for age at diagnosis (45-65 years), there was significant difference between colon and rectum cancer. But for BMI, alcohol history, IBD and pathologic stage there were not significant differences. The adjusted survival and 1, 2, 3, 4 and 5 year survival of patients with rectal cancer were better than those with colon cancer.
Conclusions: Site-specific evaluation of colon and rectum could give a better perspective of factors affecting these cancers. It may help to design of clinical trials, better diagnosis of diseases and optimal administration of specific treatments.
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Type of Study: Research | Subject: General
Received: 2009/11/3 | Accepted: 2010/05/22 | Published: 2013/09/1

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