Abstract: OBJECTIVE To systematically analyze the current risk prediction model for postoperative intraabdominal infections in the patients with colorectal cancer so as to provide evidence-based reference for application and optimization of the model. METHODS The literatures relating to the risk prediction model for postoperative intraabdominal infections in patients with colorectal cancer were systematically retrieved from CINAHL， PubMed， Web of Science， Cochrane Library， Embase， CNKI， VIP， Wanfang and China Biomedical Literature Database between their creation time and Oct. 2025. The screening of literatures， quality evaluation and data extraction were performed independently by two researchers. A meta-analysis was performed by Stata 15.0 software. RESULTS A total of 15 literatures involving 16 models were included， all of which were published by Chinese researchers. The meta-analysis showed that the incidence of postoperative abdominal infections was 18.15% among the colorectal cancer patients， and the area under the curve (AUC) was 0.876(95%CI:0.842 to 0.909，P＜0.001). Diabetes mellitus(OR=2.895，95%CI:2.175 to 3.854，P＜0.001)， operation duration(OR=2.986，95%CI:1.977 to 4.508，P＜0.001)， postoperative anastomotic fistula(OR=8.889，95%CI:4.079 to 19.373，P＜0.001)， age (OR=2.188，95%CI:1.609 to 2.975，P＜0.001)， preoperative albumin(OR=2.754，95%CI:1.948 to 3.893，P＜0.001) and postoperative drainage tube indwelling time(OR=2.581，95%CI:1.672 to 3.985，P＜0.001)were the predictive factors. CONCLUSIONS The postoperative abdominal infection is common among the colorectal cancer patients and is associated with a variety of factors. It is necessary to focus on the above risk factors and choose an appropriate risk prediction model for earl identification so as to reduce the incidence of abdominal infections.