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Journal ArticleDOI

Can metastatic lymph node ratio (LNR) predict survival in oral cavity cancer patients

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TLDR
To evaluate the prognostic role of the lymph node ratio (LNR; ratio of total positive nodes to total dissected nodes) in oral squamous cell carcinoma (OSCC) as compared to pN staging with an aim to provide an optimal cut‐off value.
Abstract
Objectives To evaluate the prognostic role of the lymph node ratio (LNR; ratio of total positive nodes to total dissected nodes) in oral squamous cell carcinoma (OSCC) as compared to pN staging with an aim to provide an optimal cut-off value. Methods 1,408 OSCC previously untreated patients who underwent treatment (surgery + neck dissection + adjuvant treatment). LNR sensitivity with respect to survival was calculated using receiver operating characteristic (ROC) curves and Cox regression method. LNR and TNM staging variables were subjected to multivariate analysis. Results LNR (0.088) showed significant association with survival outcomes. For patients with LNR ≤0.088, the OS, DFS, local control, regional control and distant metastasis rates were 64%, 70%, and 89%; for LNR >0.088 it was 22%, 19%, and 52%, respectively (P < 0.001). On multivariate analysis LNR of 0.088 was seen to be an independent prognostic factor for 5-year regional control (p, hazard ratio [95% confidence interval]; 0.044, 2.016 (1.019–3.990), DFS, 0.032, 1.858 (1.054–3.276), and OS, 0.040, 1.195 (1.033–1.144). On multivariate analysis LNR categorization showed a statistically significant [0.032, 1.858, (1.054–3.276)] advantage over pN staging [0.527, 1.208 (1.054–3.276)] in predicting survival. Conclusions LNR is a better prognostic marker than the current N staging of TNM classification. J. Surg. Oncol. 2013 108:256–263. © 2013 Wiley Periodicals, Inc.

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Journal ArticleDOI

Lymph node ratio as a prognostic factor in head and neck cancer patients

TL;DR: The purpose of this study was to investigate the prognostic value of lymph node ratio (LNR) in head and neck cancer patients who received surgery plus postoperative chemoradiotherapy and revealed that LNR was an independent prognostic factor for OS and LFFS.
Journal ArticleDOI

Lymph node ratio as prognostic variable in oral squamous cell carcinomas: Systematic review and meta-analysis.

TL;DR: LNR is an independent prognostic factor in OSCC and may be considered in future oncologic staging systems and there was no strong evidence to consider a possibility of a second significant value.
Journal ArticleDOI

Squamous cell carcinoma of buccal mucosa: An analysis of prognostic factors.

TL;DR: In addition to TNM classification, other clinical and pathological factors also have a significant role in BMSCC prognostication and there is a need to move beyond TNM and develop a more inclusive, flexible, and easy to use prognostic system.
References
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Journal ArticleDOI

The patterns of cervical lymph node metastases from squamous carcinoma of the oral cavity.

TL;DR: A retrospective review of the records of 501 previously untreated patients with squamous cell carcinoma of the oral cavity was undertaken to ascertain the prevalence of ipsilateral neck node metastases (NM) by neck level, and data support the trend toward selective limited neck dissection in both NO and N+ patients.
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Colon Cancer Survival Is Associated With Decreasing Ratio of Metastatic to Examined Lymph Nodes

TL;DR: After curative resection for colorectal cancer, the LNR is an important prognostic factor and should be used in stratification schemes for future clinical trials investigating adjuvant treatments.

Colon cancer survival is associated with decreasing ratio of metastatic to examined lymph nodes

TL;DR: In this paper, the authors analyzed data from Intergroup trial 0089 of adjuvant chemotherapy for stage II and III patients with colon cancer, in which all patients received fluorouracil-based therapy.
Journal ArticleDOI

Inflation of the type I error rate when a continuous confounding variable is categorized in logistic regression analyses.

TL;DR: It is found that the inflation of the type I error rate increases with increasing sample size, as the correlation between the risk factor and the confounding variable increases, and with a decrease in the number of categories into which the confounder is divided.
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