Risk prediction model of anastomotic leakage in colorectal cancer patients after operation: a systematic review
10.3760/cma.j.cn115682-20220311-01148
- VernacularTitle:结直肠癌患者术后吻合口瘘风险预测模型的系统评价
- Author:
Siming HUANG
1
;
Jinfang JIANG
;
Ling ZHANG
;
Ting JIANG
;
Shuai ZHOU
Author Information
1. 广西医科大学肿瘤医学院，南宁 530021
- Keywords:
Colorectal neoplasms;
Intraoperative complications;
Anastomotic leak;
Prediction;
Model;
Systematic review
- From:
Chinese Journal of Modern Nursing
2022;28(32):4474-4483
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To systematically evaluate the risk prediction model of anastomotic leakage in colorectal cancer patients after surgery.Methods:The research related to the risk prediction model of anastomotic leakage after colorectal cancer surgery was comprehensively searched in Chinese and English databases such as China National Knowledge Infrastructure (CNKI) , Wanfang Data, VIP, Chinese Biomedical Literature Database, PubMed, Embase, Wed of Science and Cochrane Library. The retrieval time limit was from the establishment of the database to November 30, 2021. Two researchers independently screened the article and extracted information, and used the bias risk and applicability assessment tools of the prediction model study to assess the risk bias.Results:A total of 10 articles were included. The predictors with high frequency in the prediction model included were gender, tumor location, body mass index, preoperative albumin and new adjuvant therapy. The area under the receiver operator characteristic curve of the prediction model was 0.63 to 0.98. The risk of bias in the included studies was mainly caused by the type of study and data analysis.Conclusions:The study on the risk prediction model of anastomotic leakage after colorectal cancer surgery is still in the development stage. Future researchers can refer to the common predictive factors summarized in this study and select appropriate methods to develop and verify the prediction model of anastomotic leakage in combination with clinical practice, so as to identify the risk of anastomotic leakage of patients as early as possible and give targeted preventive measures.
