| Literature DB >> 23833759 |
Gil-Yong Lee1, Sung-Min Lee, Je-Ho Jang, Heung-Kwon Oh, Duck-Woo Kim, Soyeon Ahn, Sung-Bum Kang.
Abstract
PURPOSE: It is unknown whether patients with advanced rectal cancer develop severe constipation. Therefore, the objective of this study was to assess whether constipation severity is associated with pathologic progression of rectal cancer.Entities:
Keywords: Constipation; Questionnaire; Rectal neoplasms
Year: 2013 PMID: 23833759 PMCID: PMC3699686 DOI: 10.4174/jkss.2013.85.1.35
Source DB: PubMed Journal: J Korean Surg Soc ISSN: 1226-0053
Fig. 1Study profile.
Fig. 2Distribution of constipation scores. Bars show the number of patients.
Patients demographics and constipation-related factors (n = 472)
Values are presented as mean ± standard deviation or number (%).
B, regression coefficient; CI, confidence interval; CEA, carcinoembryonic antigen.
a)Multiple linear regression analysis. b)B indicates change of constipation score according to the incremental change of each variable. c)Student t-test. d)One-way analysis of variance.
Relationship between T stage and constipation score (n = 472)
Values are presented as no. of cases (%).
a)P < 0.001.
Relationship between disease recurrence and constipation score (n = 397)
Values are presented as no. of cases (%).
a)P = 0.049.
Prognostic analysis of 3-year disease-free survival (n = 397)
HR, hazard ratio; CI, confidence interval; CEA carcinoembryonic antigen.
a)Log-rank test. b)Cox proportional hazard model.
Fig. 3Kaplan-Meier analysis of 3-year disease-free survival in patients divided by tertiles of constipation score.
Prognostic analysis of 5-year overall survival (n = 472)
HR, hazard ratio; CI, confidence interval; CEA, carcinoembryonic antigen.
a)Log-rank test. b)Cox proportional hazard model.
Fig. 4Kaplan-Meier analysis of 5-year overall survival in patients divided by tertiles of constipation score.