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Proposed Modification of Staging for Distal Cholangiocarcinoma Based on the Lymph Node Ratio Using Korean Multicenter Database
The 8th American Joint Committee on Cancer (AJCC) staging system for distal cholangiocarcinoma (DCC) included a positive lymph node count (PLNC), but a comparison of the prognostic predictive power of PLNC and lymph node ratio (LNR) is still under debate. This study aimed to compare various staging...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140100/ https://www.ncbi.nlm.nih.gov/pubmed/32213853 http://dx.doi.org/10.3390/cancers12030762 |
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author | You, Yunghun Shin, Yong Chan Choi, Dong Wook Heo, Jin Seok Shin, Sang Hyun Kim, Naru Jang, Kee-Taek Kim, Hongbeom Lim, Chang-Sup Chang, Sun Hee Han, Kang Min Han, In Woong |
author_facet | You, Yunghun Shin, Yong Chan Choi, Dong Wook Heo, Jin Seok Shin, Sang Hyun Kim, Naru Jang, Kee-Taek Kim, Hongbeom Lim, Chang-Sup Chang, Sun Hee Han, Kang Min Han, In Woong |
author_sort | You, Yunghun |
collection | PubMed |
description | The 8th American Joint Committee on Cancer (AJCC) staging system for distal cholangiocarcinoma (DCC) included a positive lymph node count (PLNC), but a comparison of the prognostic predictive power of PLNC and lymph node ratio (LNR) is still under debate. This study aimed to compare various staging models made by combining the abovementioned factors, identify the model with the best predictive power, and propose a modified staging system. We retrospectively reviewed 251 patients who underwent surgery for DCC at four centers. To determine the superiority of various staging models for predicting overall OSR, Akaike information criterion (AIC), Bayesian information criterion (BIC), AIC correction (AICc), and Harrell’s C-statistic were calculated. In multivariate analysis, age (p = 0.003), total lymph node count (p = 0.033), and revised T(LNR)M staging (p < 0.001) were identified as independent factors for overall survival rate. The predictive performance of revised T (LNR) M staging (AIC: 1288.925, BIC: 1303.377, AICc: 1291.52, and Harrell’s C statics: 0.667) was superior to other staging system. A modified staging system consisting of revised T category and LNR predicted better overall survival of DCC than AJCC 7th and AJCC 8th editions. In the future, external validation of the proposed new system using a larger cohort will be required. |
format | Online Article Text |
id | pubmed-7140100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71401002020-04-13 Proposed Modification of Staging for Distal Cholangiocarcinoma Based on the Lymph Node Ratio Using Korean Multicenter Database You, Yunghun Shin, Yong Chan Choi, Dong Wook Heo, Jin Seok Shin, Sang Hyun Kim, Naru Jang, Kee-Taek Kim, Hongbeom Lim, Chang-Sup Chang, Sun Hee Han, Kang Min Han, In Woong Cancers (Basel) Article The 8th American Joint Committee on Cancer (AJCC) staging system for distal cholangiocarcinoma (DCC) included a positive lymph node count (PLNC), but a comparison of the prognostic predictive power of PLNC and lymph node ratio (LNR) is still under debate. This study aimed to compare various staging models made by combining the abovementioned factors, identify the model with the best predictive power, and propose a modified staging system. We retrospectively reviewed 251 patients who underwent surgery for DCC at four centers. To determine the superiority of various staging models for predicting overall OSR, Akaike information criterion (AIC), Bayesian information criterion (BIC), AIC correction (AICc), and Harrell’s C-statistic were calculated. In multivariate analysis, age (p = 0.003), total lymph node count (p = 0.033), and revised T(LNR)M staging (p < 0.001) were identified as independent factors for overall survival rate. The predictive performance of revised T (LNR) M staging (AIC: 1288.925, BIC: 1303.377, AICc: 1291.52, and Harrell’s C statics: 0.667) was superior to other staging system. A modified staging system consisting of revised T category and LNR predicted better overall survival of DCC than AJCC 7th and AJCC 8th editions. In the future, external validation of the proposed new system using a larger cohort will be required. MDPI 2020-03-24 /pmc/articles/PMC7140100/ /pubmed/32213853 http://dx.doi.org/10.3390/cancers12030762 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article You, Yunghun Shin, Yong Chan Choi, Dong Wook Heo, Jin Seok Shin, Sang Hyun Kim, Naru Jang, Kee-Taek Kim, Hongbeom Lim, Chang-Sup Chang, Sun Hee Han, Kang Min Han, In Woong Proposed Modification of Staging for Distal Cholangiocarcinoma Based on the Lymph Node Ratio Using Korean Multicenter Database |
title | Proposed Modification of Staging for Distal Cholangiocarcinoma Based on the Lymph Node Ratio Using Korean Multicenter Database |
title_full | Proposed Modification of Staging for Distal Cholangiocarcinoma Based on the Lymph Node Ratio Using Korean Multicenter Database |
title_fullStr | Proposed Modification of Staging for Distal Cholangiocarcinoma Based on the Lymph Node Ratio Using Korean Multicenter Database |
title_full_unstemmed | Proposed Modification of Staging for Distal Cholangiocarcinoma Based on the Lymph Node Ratio Using Korean Multicenter Database |
title_short | Proposed Modification of Staging for Distal Cholangiocarcinoma Based on the Lymph Node Ratio Using Korean Multicenter Database |
title_sort | proposed modification of staging for distal cholangiocarcinoma based on the lymph node ratio using korean multicenter database |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140100/ https://www.ncbi.nlm.nih.gov/pubmed/32213853 http://dx.doi.org/10.3390/cancers12030762 |
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