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Log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma

CONTEXT: Log odds of positive lymph nodes (LODDS) have been recently demonstrated as a very promising staging model and have outperformed AJCC pN, lymph node ratio (LNR) category in major cancers. Literature is scarce concerning the prognostic ability of LODDS in oral squamous cell carcinoma (OSCC)...

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Autores principales: Iyer, Varuni, Kumar, Kiran, Hallikeri, Kaveri, Desai, Anil Kumar, Kumar, Niranjan, Natarajan, Srikant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083415/
https://www.ncbi.nlm.nih.gov/pubmed/33967502
http://dx.doi.org/10.4103/jomfp.JOMFP_110_20
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author Iyer, Varuni
Kumar, Kiran
Hallikeri, Kaveri
Desai, Anil Kumar
Kumar, Niranjan
Natarajan, Srikant
author_facet Iyer, Varuni
Kumar, Kiran
Hallikeri, Kaveri
Desai, Anil Kumar
Kumar, Niranjan
Natarajan, Srikant
author_sort Iyer, Varuni
collection PubMed
description CONTEXT: Log odds of positive lymph nodes (LODDS) have been recently demonstrated as a very promising staging model and have outperformed AJCC pN, lymph node ratio (LNR) category in major cancers. Literature is scarce concerning the prognostic ability of LODDS in oral squamous cell carcinoma (OSCC) patients. AIMS: The present study was aimed to evaluate the importance of LODDS in predicting locoregional recurrence and overall survival (OS) in patients with OSCC compared to LNR. SETTINGS AND DESIGN: The retrospective study was carried out on 194 patients with OSCC cases treated by surgery ± adjuvant therapy from 2008 to 2014 at our institution. SUBJECTS AND METHODS: Demographical and clinicopathological details of study cases were recorded. LNR and LODDS were calculated and expressed as a percentage and mean ± standard deviation. STATISTICAL ANALYSIS USED: The OS analysis was done by the Kaplan–Meier curve followed by log-rank (mantel-cox) test. Univariate and multivariate survival analysis was done to analyze the prognostic ability of LNR% and LODDS after adjusting the clinicopathological parameters by the Cox proportional hazards model. RESULTS: Patients with cut off values of LODDS >−1.2 and LNR% >4 had significantly lower mean OS (P ≤ 0.001). Multivariate analysis indicated that only mean LODDS >−1.2 was significantly associated with poor OS. Although there was a correlation with locoregional recurrence, LODDS and LNR failed to be the independent predictors of locoregional recurrence. CONCLUSIONS: LODDS was an independent reliable prognostic indicator for patients with OSCCs than conventional staging systems and LNR.
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spelling pubmed-80834152021-05-06 Log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma Iyer, Varuni Kumar, Kiran Hallikeri, Kaveri Desai, Anil Kumar Kumar, Niranjan Natarajan, Srikant J Oral Maxillofac Pathol Original Article CONTEXT: Log odds of positive lymph nodes (LODDS) have been recently demonstrated as a very promising staging model and have outperformed AJCC pN, lymph node ratio (LNR) category in major cancers. Literature is scarce concerning the prognostic ability of LODDS in oral squamous cell carcinoma (OSCC) patients. AIMS: The present study was aimed to evaluate the importance of LODDS in predicting locoregional recurrence and overall survival (OS) in patients with OSCC compared to LNR. SETTINGS AND DESIGN: The retrospective study was carried out on 194 patients with OSCC cases treated by surgery ± adjuvant therapy from 2008 to 2014 at our institution. SUBJECTS AND METHODS: Demographical and clinicopathological details of study cases were recorded. LNR and LODDS were calculated and expressed as a percentage and mean ± standard deviation. STATISTICAL ANALYSIS USED: The OS analysis was done by the Kaplan–Meier curve followed by log-rank (mantel-cox) test. Univariate and multivariate survival analysis was done to analyze the prognostic ability of LNR% and LODDS after adjusting the clinicopathological parameters by the Cox proportional hazards model. RESULTS: Patients with cut off values of LODDS >−1.2 and LNR% >4 had significantly lower mean OS (P ≤ 0.001). Multivariate analysis indicated that only mean LODDS >−1.2 was significantly associated with poor OS. Although there was a correlation with locoregional recurrence, LODDS and LNR failed to be the independent predictors of locoregional recurrence. CONCLUSIONS: LODDS was an independent reliable prognostic indicator for patients with OSCCs than conventional staging systems and LNR. Wolters Kluwer - Medknow 2020 2021-01-09 /pmc/articles/PMC8083415/ /pubmed/33967502 http://dx.doi.org/10.4103/jomfp.JOMFP_110_20 Text en Copyright: © 2021 Journal of Oral and Maxillofacial Pathology https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Iyer, Varuni
Kumar, Kiran
Hallikeri, Kaveri
Desai, Anil Kumar
Kumar, Niranjan
Natarajan, Srikant
Log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma
title Log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma
title_full Log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma
title_fullStr Log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma
title_full_unstemmed Log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma
title_short Log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma
title_sort log odds of positive lymph nodes as an independent predictor of overall survival in oral squamous cell carcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083415/
https://www.ncbi.nlm.nih.gov/pubmed/33967502
http://dx.doi.org/10.4103/jomfp.JOMFP_110_20
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