scholarly journals Nomogram to predict overall survival based on the log odds of positive lymph nodes for patients with endometrial carcinosarcoma after surgery

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Linzhi Gao ◽  
Jun Lyu ◽  
Xiaoya Luo ◽  
Dong Zhang ◽  
Guifang Jiang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Lymph Nodes ◽  
Prediction Model ◽  
Classification System ◽  
Staging System ◽  
Seer Database ◽  
Figo Staging ◽  
Log Odds ◽  
Positive Lymph Nodes ◽  
Better Than

Abstract Purpose Aims to compare the prognostic performance of the number of positive lymph nodes (PLNN), lymph node ratio (LNR) and log odds of metastatic lymph nodes (LODDS) and establish a prognostic nomogram to predict overall survival (OS) rate for patients with endometrial carcinosarcoma (ECS). Methods Patients were retrospectively obtained from Surveillance, Epidemiology and End Results (SEER) database from 2004 to 2015. The prognostic value of PLNN, LNR and LODDS were assessed. A prediction model for OS was established based on univariate and multivariate analysis of clinical and demographic characteristics of ECS patients. The clinical practical usefulness of the prediction model was valued by decision curve analysis (DCA) through quantifying its net benefits. Results The OS prediction accuracy of LODDS for ECS is better than that of PLNN and LNR. Five factors, age, tumor size, 2009 FIGO, LODDS and peritoneal cytology, were independent prognostic factors of OS. The C-index of the nomogram was 0.743 in the training cohort. The AUCs were 0.740, 0.682 and 0.660 for predicting 1-, 3- and 5-year OS, respectively. The calibration plots and DCA showed good clinical applicability of the nomogram, which is better than 2009 FIGO staging system. These results were verified in the validation cohort. A risk classification system was built that could classify ECS patients into three risk groups. The Kaplan-Meier curves showed that OS in the different groups was accurately differentiated by the risk classification system and performed much better than FIGO 2009. Conclusion Our results indicated that LODDS was an independent prognostic indicator for ECS patients, with better predictive efficiency than PLNN and LNR. A novel prognostic nomogram for predicting the OS rate of ECS patients was established based on the population in the SEER database. Our nomogram based on LODDS has a more accurate and convenient value for predicting the OS of ECS patients than the FIGO staging system alone.

The variable impact of positive lymph nodes in cervical cancer: Implications of the new FIGO staging system

2020 ◽  
Vol 156 (1) ◽  
pp. 85-92 ◽  
Author(s):  
Kyra N. McComas ◽  
Anna M. Torgeson ◽  
Bryan J. Ager ◽  
Christopher Hellekson ◽  
Lindsay M. Burt ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Lymph Nodes ◽  
Staging System ◽  
Figo Staging ◽  
Variable Impact ◽  
Positive Lymph Nodes

Log Odds of Positive Lymph Nodes in Colon Cancer: A Meaningful Ratio-based Lymph Node Classification System

2012 ◽  
Vol 36 (3) ◽  
pp. 667-674 ◽  
Author(s):  
Roberto Persiani ◽  
Ferdinando C. M. Cananzi ◽  
Alberto Biondi ◽  
Giuseppe Paliani ◽  
Andrea Tufo ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Classification System ◽  
Log Odds ◽  
Node Classification ◽  
Positive Lymph Nodes

Prognostic nomogram based on log odds of positive lymph nodes for gastric carcinoma patients after surgical resection

2019 ◽  
Vol 15 (36) ◽  
pp. 4207-4222
Author(s):  
Enfa Zhao ◽  
Changli Zhou ◽  
Shimin Chen
Keyword(s):  
Gastric Carcinoma ◽  
Lymph Nodes ◽  
Staging System ◽  
Predictive Performance ◽  
Cancer Specific Survival ◽  
Node Ratio ◽  
Log Odds ◽  
Ajcc Staging System ◽  
Ajcc Staging ◽  
Positive Lymph Nodes

Aim: To build a prognostic nomogram based on log odds of positive lymph nodes for patients with gastric carcinoma (GC) after resection, and to compare the predictive performance with the American Joint Committee on Cancer (AJCC) staging system and lymph node ratio (LNR). Methods: Multivariate analyses were performed to identify the independent variables for cancer-specific survival (CSS). A nomogram was constructed based on independent clinicopathological factors. Results: The C-indices for predicting CSS were 0.674 in development cohort and 0.647 in validation cohort, which were higher than that of the AJCC staging system and LNR. Conclusion: The nomogram was more accurate than the AJCC staging system and LNR for predicting CSS in patients undergoing resection for GC.

scholarly journals The Prognostic Value of Log Odds of Positive Lymph Nodes in Early-Stage Esophageal Cancer Patients: A Study Based on the SEER Database and a Chinese Cohort

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Kexing Xi ◽  
Wenyou Chen ◽  
Hui Yu
Keyword(s):  
Esophageal Cancer ◽  
Lymph Nodes ◽  
Validation Cohort ◽  
Early Stage ◽  
High Risk Population ◽  
Seer Database ◽  
Chinese Cohort ◽  
Log Odds ◽  
Cox Analysis ◽  
Positive Lymph Nodes

Objective. Early detection and timely treatment are important for improving the prognosis of esophageal cancer (EC). Identification of the prognostic risk factors could help us to discern the high-risk population. This study was aimed at exploring the prognostic significance of log odds of positive lymph nodes (LODDS) in early-stage EC patients. Methods. Patients who underwent esophagectomy and diagnosed as pathologic T1-2 N0 EC were reviewed between January 2005 and December 2015 from the Surveillance, Epidemiology, and End Results (SEER) database (the development cohort, n = 1004). The X-tile software was used to determine the optimal cutoff values of LODDS. A separate Chinese cohort including 245 patients (the validation cohort) was used to externally validate the results of the SEER database. Result. Patients were divided into two groups based on the cutoff points of LODDS: <−1.40 (LODDS1) and ≥−1.40 (LODDS2). In the development cohort, the 5-year overall survival (OS) rate was 75.3% for patients in the LODDS1 group, compared with 67.5% for those in the LODDS2 group ( P = 0.002 ). In multivariate Cox analysis, LODDS was associated with OS significantly (hazard ratio (HR), 1.48; 95% confidence intervals (CI), 1.19–1.85). In the validation cohort, the 5-year OS rate was 76.6% for patients in the LODDS1 group, compared with 64.4% for those in the LODDS2 group ( P = 0.006 ). The HR value in multivariate Cox analysis for OS was 2.00 (95% CI, 1.26–3.18). Conclusion. LODDS was an important independent factor for survival in early-stage EC patients.

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