TY - JOUR
T1 - Risk assessment of lymph node metastasis in early gastric cancer
T2 - Establishment and validation of a Seven-point scoring model
AU - Cai, Fenglin
AU - Dong, Yinping
AU - Wang, Pengliang
AU - Zhang, Li
AU - Yang, Yang
AU - Liu, Yong
AU - Wang, Xuejun
AU - Zhang, Rupeng
AU - Liang, Han
AU - Sun, Yan
AU - Deng, Jingyu
N1 - Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2022/5
Y1 - 2022/5
N2 - Background: Treatment options for early gastric cancer have evolved toward achieving accurate evaluation of lymph node metastasis. This study aimed to investigate risk factors of lymph node metastasis in patients with early gastric cancer and establish a risk score model to guide the selection of optimal treatment. Methods: The clinicopathological characteristics of 351 patients with early gastric cancer from January 2016 to December 2018 were reviewed retrospectively. On the basis of the independent risk factors determined by multivariate binary logistic regression analysis, we established a risk score model for predicting lymph node metastasis and then verified it. The receiver operating characteristic curves were plotted using the test and validation sets. The area under the receiver operating characteristic curve was used to assess the discriminant ability of the model. Results: Lymph node metastasis was observed in 10.5% (37/351) of early gastric cancer cases. Patients with early gastric cancer were grouped based on the independent risk factors for lymph node metastasis (tumor size, depth, histological type, and lymphovascular involvement) determined by multivariate analysis. A 7-point risk score model was established to predict the risk of lymph node metastasis. The area under the receiver operating characteristic curve in the development and validation sets were 0.839 (95% confidence interval, 0.769%−0.910%) and 0.820 (95% confidence interval, 0.711%−0.930%), respectively. Conclusion: A feasible risk score model for lymph node metastasis was established to guide the optimal treatment of patients with early gastric cancer early gastric cancer.
AB - Background: Treatment options for early gastric cancer have evolved toward achieving accurate evaluation of lymph node metastasis. This study aimed to investigate risk factors of lymph node metastasis in patients with early gastric cancer and establish a risk score model to guide the selection of optimal treatment. Methods: The clinicopathological characteristics of 351 patients with early gastric cancer from January 2016 to December 2018 were reviewed retrospectively. On the basis of the independent risk factors determined by multivariate binary logistic regression analysis, we established a risk score model for predicting lymph node metastasis and then verified it. The receiver operating characteristic curves were plotted using the test and validation sets. The area under the receiver operating characteristic curve was used to assess the discriminant ability of the model. Results: Lymph node metastasis was observed in 10.5% (37/351) of early gastric cancer cases. Patients with early gastric cancer were grouped based on the independent risk factors for lymph node metastasis (tumor size, depth, histological type, and lymphovascular involvement) determined by multivariate analysis. A 7-point risk score model was established to predict the risk of lymph node metastasis. The area under the receiver operating characteristic curve in the development and validation sets were 0.839 (95% confidence interval, 0.769%−0.910%) and 0.820 (95% confidence interval, 0.711%−0.930%), respectively. Conclusion: A feasible risk score model for lymph node metastasis was established to guide the optimal treatment of patients with early gastric cancer early gastric cancer.
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U2 - 10.1016/j.surg.2021.10.049
DO - 10.1016/j.surg.2021.10.049
M3 - Article
C2 - 34865863
AN - SCOPUS:85120627490
SN - 0039-6060
VL - 171
SP - 1273
EP - 1280
JO - Surgery (United States)
JF - Surgery (United States)
IS - 5
ER -