These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: A regression analysis of prognostic factors after resection of Dukes' B and C carcinoma of the rectum and rectosigmoid. Does post-operative radiotherapy change the prognosis? Author: Bentzen SM, Balslev I, Pedersen M, Teglbjaerg PS, Hanberg-Soerensen F, Bone J, Jacobsen NO, Overgaard J, Sell A, Bertelsen K. Journal: Br J Cancer; 1988 Aug; 58(2):195-201. PubMed ID: 3166910. Abstract: The prognostic value of several clinical and histopathological characteristics has been evaluated in patients with Dukes' B and C carcinoma of the rectum and the rectosigmoid. Data on 260 Dukes' B and 208 Dukes' C tumours entered into a prospective, randomized clinical trial of post-operative radiotherapy (50 Gy given with 2 Gy/fraction in an overall time of 7 weeks) were analyzed by means of the Cox proportional hazards model. The Dukes' stages B and C were analyzed in two separate multivariate analyses. In patients with Dukes' B tumours, a poor prognosis was associated with age above 60, perineural and venous invasion, tumour located less than 10 cm from the anal verge and elevated pre-operative carcinoembryonic antigen (CEA) (greater than 3.2 ng ml-1). In patients with Dukes' C tumours, perineural and venous invasion, tumour located less than 10 cm from the anal verge, and elevated pre-operative CEA were associated with a poor prognosis. In addition, a large tumour diameter had a strong, negative influence on the prognosis. Males seemed to have a poorer prognosis than females among the Dukes' C patients. Resection of neighbouring organs was also associated with a poor prognosis in this stage. Post-operative radiotherapy as administered in the present series had no significant influence on prognosis. Based on the derived prognostic models patients with a hazard of death above the median in each stage were selected. A separate analysis of the survival in these high risk patients showed no survival benefit from radiotherapy. The proportional hazards model may be a useful tool in selecting patients for more aggressive adjuvant treatment.[Abstract] [Full Text] [Related] [New Search]