Optimal Nutrition Formulas for Patients Undergoing Surgery for Colorectal Cancer: A Bayesian Network Analysis. (20th July 2020)

• Record Type: Journal Article
• Authors: Jiang, Xiao-han; Chen, Xi-jie; Wang, Xin-you; Chen, Yun-zhi; Xie, Qin-qin; Peng, Jun-sheng
• Is Part Of: Nutrition and cancer. Volume 73:Number 5(2021)
• Page Start: 775
• Page End: 784
• Publication Date: 2020-07-20
• Subjects: Cancer -- Periodicals; Nutrition -- Periodicals; Cancer; Nutrition; Periodicals; 616.9940654
• DOI: 10.1080/01635581.2020.1770812
• Languages: English
• ISSNs: 0163-5581

Abstract

Abstract: Optimal nutrition formulas for colorectal cancer patients underwent surgery remains uncertainty. We constructed an indirect comparison study to assess comparative efficacy of different immunonutrition formulas and standard nutrition in colorectal cancer patients underwent surgery. PubMed, the Cochrane Library, EMBASE, ClinicalTrials.gov and Web of Science databases were searched to identify RCTs that compared immunonutrition with standard nutrition or different immunonutrition formulas. Data on length of hospital stays (LOS), infectious complications (IC), noninfectious complications (NIC) and anastomotic leakage (AL) were extracted from the included RCTs for Bayesian network analysis using a random-effect model. Twelve articles that included 1032 individuals were incorporated into this study. The indirect comparison confirmed the potential improvement of arginine-based immunonutrition on IC (odds ratios [OR] = 0.43, 95%confidence interval [CI]: 0.17 to 0.95), glutamine on NIC (OR = 0.07 CI: 0.00 to 0.78) and LOS (MD=-3.91 CI: −6.33 to -1.69) and omega-3 polyunsaturated fatty acids on LOS (OR=-3.49 CI: −5.46 to -1.00). Results indicated that glutamine had the highest probability of reducing complications and hospital stays. As for colorectal cancer patients underwent surgery, this indirect comparison suggested some superiority of glutamine. Future more RCTs with larger scale are required to provide evidence for the optimal immunonutrition formulas.