Value of the log odds of positive lymph nodes for prognostic assessment of colon mucinous adenocarcinoma: Analysis and external validation

Background: The aim of this study based on log odds of positive lymph nodes (LODDS) is to develop and validate an effective prognostic nomogram for patients with T3 and T4 gallbladder cancer (GBC) after resection.Patients and Methods: A total of 728 T3 and T4 gallbladder cancer patients after resection from the Surveillance, Epidemiology, and End Results (SEER) database, randomly divided into training cohort and validation cohort according to 7:3. Another 128 patients from The Second Affiliated Hospital of Nanchang University for external validation. The nomograms were built by the Cox regression model and the Fine and Grey's model. Concordance index (C-index), calibration curve and the area under receiver operating characteristic (ROC) curve (AUC) were used to evaluate the nomogram and internal verification. The decision curve analysis (DCA) was used to measure clinical applicability.Result: LODDS was independent prognostic predictor for overall survival (OS) and cancer-specific survival (CSS), and established the nomograms on this basis. The nomogram we have established has a good evaluation effect, with a C-index of 0.719 (95%CI, 0.707–0.731) for OS and 0.747 (95%CI, 0.733–0.760) for CSS. The calibration curves of OS and CSS both showed good calibration capability, and the AUC for predicting 1-, 2-, and 3-year 0.858, 0.848 were and 0.811 for OS, and 0.794, 0.793, and 0.750 for CSS. The DCA of nomograms both showed good clinical applicability.Conclusion: The nomogram can provide effective OS and CSS prediction for patients with advanced gallbladder cancer after surgery.

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Log Odds of Positive Lymph Nodes (LODDS): What Are Their Role in the Prognostic Assessment of Gastric Adenocarcinoma?

Journal of Gastrointestinal Surgery ◽

10.1007/s11605-014-2539-8 ◽

2014 ◽

Vol 18 (7) ◽

pp. 1254-1260 ◽

Cited By ~ 26

Author(s):

Paolo Aurello ◽

Niccolò Petrucciani ◽

Giuseppe R. Nigri ◽

Marco La Torre ◽

Paolo Magistri ◽

...

Keyword(s):

Lymph Nodes ◽

Gastric Adenocarcinoma ◽

Prognostic Assessment ◽

Log Odds ◽

Positive Lymph Nodes

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Prognosis of colorectal cancer patients is associated with the novel log odds of positive lymph nodes scheme: derivation and external validation

Journal of Cancer ◽

10.7150/jca.38180 ◽

2020 ◽

Vol 11 (7) ◽

pp. 1702-1711

Author(s):

Qing-Wei Zhang ◽

Chi-Hao Zhang ◽

Yuan-Bo Pan ◽

Alberto Biondi ◽

Valeria Fico ◽

...

Keyword(s):

Colorectal Cancer ◽

Lymph Nodes ◽

Cancer Patients ◽

External Validation ◽

The Novel ◽

Log Odds ◽

Colorectal Cancer Patients ◽

Positive Lymph Nodes

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Construction and Validation of a Nomogram Based on the Log Odds of Positive Lymph Nodes to Predict the Prognosis of Lung Neuroendocrine Tumors

10.1101/2021.10.12.21264905 ◽

2021 ◽

Author(s):

Yue Yu ◽

Meiyun Liu ◽

Suyu Wang ◽

Juan Wei ◽

Yibin Guo ◽

...

Keyword(s):

Lymph Nodes ◽

Neuroendocrine Tumors ◽

Proportional Hazards ◽

Cox Regression ◽

External Validation ◽

Cox Proportional Hazards ◽

Study Cohort ◽

Net Reclassification Improvement ◽

Log Odds ◽

Positive Lymph Nodes

Objectives: This study aimed to investigate the prognostic value of Log odds of positive lymph nodes (LODDS) for predicting the long-term prognosis of patients with node-positive lung neuroendocrine tumors (LNETs). Materials and Methods: We collected 506 eligible patients with resected N1/N2 classification LNETs from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. First, we applied the Cox proportional-hazards regression model to evaluate the relationship between LODDS and study endpoints (cancer-specific survival [CSS] and overall survival [OS]) based on the entire cohort. Second, the study cohort was divided into derivation cohort (n=300) and external validation cohort (n=206) based on different geographic regions. Nomograms were constructed and validated based on these two cohorts to predict the 1-, 3- and 5-year survival of patients with LNETs. The accuracy and clinical practicability of nomograms were tested and compared by Harrell's concordance index (C-index), integrated discrimination improvement (IDI), net reclassification improvement (NRI), calibration plots, and decision curve analyses. Results: The Cox proportional-hazards model showed the high LODDS group (-0.33≤LODDS≤1.14) had significantly higher mortality compared to those in the low LODDS group (-1.44≤LODDS<-0.33) for both CSS and OS. In addition, besides LODDS, age at diagnosis, histotype, type of surgery, radiotherapy, and chemotherapy were shown as independent predictors in Cox regression analyses and included in the nomograms. The values of c-index, NRI, and IDI indicated that the established nomogram performed significantly better than the conventional eighth edition of the TNM staging system alone. The calibration plots for predictions of the 1-, 3-, and 5-year OS were in excellent agreement. Decision curve analyses showed that the nomogram had value in terms of clinical application. Conclusions: We created visualized nomograms for CSS and OS of LNET patients, facilitating clinicians to provide highly individualized risk assessment and therapy.

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The tumor-log odds of positive lymph nodes-metastasis staging system, a new staging system for gastric cancer after D2 resection in China.

Journal of Clinical Oncology ◽

10.1200/jco.2012.30.15_suppl.e14655 ◽

2012 ◽

Vol 30 (15_suppl) ◽

pp. e14655-e14655

Author(s):

Rui-hua Xu ◽

Miao-zhen Qiu

Keyword(s):

Gastric Cancer ◽

Lymph Nodes ◽

Cox Regression ◽

Staging System ◽

Tnm Staging ◽

Cut Points ◽

Tnm System ◽

Prognostic Assessment ◽

Log Odds ◽

Positive Lymph Nodes

e14655 Background: In this study, we established a hypothetical tumor-lodds-metastasis (TLM) and tumor-ratio-metastasis (TRM) staging system. Moreover we compared them with the 7th edition of American Joint Committee on Cancer tumor-nodes-metastasis (AJCC TNM) staging system in gastric cancer patients after D2 resection. Methods: A total of 1000 gastric carcinoma patients receiving treatment in our center were selected for the analysis. Finally, 730 patients who received D2 resection were retrospectively studied. Patients were staged using the TLM, TRM and the 7th edition AJCC TNM system. Survival analysis was performed with a Cox regression model. We used two parameters to compare the TNM, TRM and TLM staging system, the -2log likelihood and the hazard ratio. Results: The cut points of lymph node ratio (LNR) were set as 0, 0-0.3, 0.3-0.6, 0.6-1.0. And for the log odds of positive lymph nodes (LODDS), the cut points were established as≤-0.5, -0.5-0, 0-0.5, >0.5. There were significant differences in survival among patients in different LODDS classifications for each pN or LNR groups. When stratified by the LODDS classifications, the prognosis was highly homologous between those in the according pN or LNR classifications. Multivariate analysis shown that TLM staging system was better than the TRM or TNM system for the prognostic evaluation. Conclusions: The TLM systems was superior to the TRM or TNM system for prognostic assessment of gastric adenocarcinoma patients after D2 resection.

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