Open AccessModels Based on Dynamic Clinicopathological Indices for Predicting Prognosis During the Perioperative Period for Patients with Colorectal Cancer
Author(s) -
Yihui Ma,
Ping Lü,
Xiaofeng Liang,
Shaozhong Wei
Publication year - 2021
Publication title -
journal of inflammation research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.656
H-Index - 33
ISSN - 1178-7031
DOI - 10.2147/jir.s302435
Subject(s) - medicine , nomogram , colorectal cancer , concordance , proportional hazards model , oncology , perioperative , stage (stratigraphy) , population , multivariate analysis , univariate analysis , pathological , univariate , cancer , surgery , multivariate statistics , paleontology , statistics , biology , environmental health , mathematics
Recent studies have found that clinicopathological indices, such as inflammatory and biochemical indices, play a significant role in the prognosis of colorectal cancer (CRC) patients. However, few studies have focused on the effect of dynamic changes in these indicators. In our study, we studied the influence of dynamic changes in inflammatory and biochemical indices on patient outcomes during the perioperative period.