摘要
BACKGROUND Lymph node metastasis(LNM)significantly impacts the treatment and prognosis of early gastric cancer(EGC).Consequently,the precise prediction of LNM risk in EGC patients is essential to guide the selection of appropriate surgical approaches in clinical settings.AIM To develop a novel nomogram risk model for predicting LNM in EGC patients,utilizing preoperative clinicopathological data.METHODS Univariate and multivariate logistic regression analyses were performed to examine the correlation between clinicopathological factors and LNM in EGC patients.Additionally,univariate Kaplan-Meier and multivariate Cox regression analyses were used to assess the influence of clinical factors on EGC prognosis.A predictive model in the form of a nomogram was developed,and its discrimination ability and calibration were also assessed.RESULTS The incidence of LNM in the study cohort was 19.6%.Multivariate logistic regression identified tumor size,location,degree of differentiation,and pathological type as independent risk factors for LNM in EGC patients.Both tumor pathological type and LNM independently affected the prognosis of EGC.The model’s performance was reflected by an area under the curve of 0.750[95%confidence interval(CI):0.701-0.789]for the training group and 0.763(95%CI:0.687-0.838)for the validation group.CONCLUSION A clinical prediction model was constructed(using tumor size,low differentiation,location in the middle-lower region,and signet ring cell carcinoma),with its score being a significant prognosis indicator.
基金
Supported by the 14th Five-Year Plan National Key R&D Program,No.2021YFA0910100
Zhejiang Upper Gastrointestinal Cancer Diagnosis and Treatment Technology Research Center,No.JBZX-202006
Zhejiang Provincial Medical and Health Program-Provincial and Ministerial Joint Construction Project,No.WKJ-ZJ-2104
the National Natural Science Foundation of China,No.82074245 and No.81973634。
