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Reply to: Comments on “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma”
We appreciate to receive commentary from Dr Guangtong Deng and Dr Liang Xiao to our article, “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma”. First, neutrophil-to-lymphocyte ratio (NLR) and derived NLR (dNLR)...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6893163/ https://www.ncbi.nlm.nih.gov/pubmed/31710086 http://dx.doi.org/10.1042/BSR20193401 |
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author | Li, Peng Huang, Wei Wang, Feng Ke, Ye-Fang Gao, Lin Shi, Ke-Qing Zhou, Meng-Tao Chen, Bi-Cheng |
author_facet | Li, Peng Huang, Wei Wang, Feng Ke, Ye-Fang Gao, Lin Shi, Ke-Qing Zhou, Meng-Tao Chen, Bi-Cheng |
author_sort | Li, Peng |
collection | PubMed |
description | We appreciate to receive commentary from Dr Guangtong Deng and Dr Liang Xiao to our article, “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma”. First, neutrophil-to-lymphocyte ratio (NLR) and derived NLR (dNLR) are two different parameters. Some studies show that NLR is inconsistent with dNRL in prognostic value through multivariate Cox regression, therefore, it is reasonable that both NLR and dNLR entered into multivariate analysis simultaneously. Second, it is common that articles of predictive nomograms turned continuous variables into categorical variables. The reason is that the categorization of patient clinical variables is beneficial to doctors to make decisions based on the risk level of individual patients in clinical. At last, multicenter validation is quite difficult and we have listed the shortcomings in the limitations of our article. Further validation will need the joint efforts by other institutions. |
format | Online Article Text |
id | pubmed-6893163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68931632019-12-10 Reply to: Comments on “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma” Li, Peng Huang, Wei Wang, Feng Ke, Ye-Fang Gao, Lin Shi, Ke-Qing Zhou, Meng-Tao Chen, Bi-Cheng Biosci Rep Correspondence We appreciate to receive commentary from Dr Guangtong Deng and Dr Liang Xiao to our article, “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma”. First, neutrophil-to-lymphocyte ratio (NLR) and derived NLR (dNLR) are two different parameters. Some studies show that NLR is inconsistent with dNRL in prognostic value through multivariate Cox regression, therefore, it is reasonable that both NLR and dNLR entered into multivariate analysis simultaneously. Second, it is common that articles of predictive nomograms turned continuous variables into categorical variables. The reason is that the categorization of patient clinical variables is beneficial to doctors to make decisions based on the risk level of individual patients in clinical. At last, multicenter validation is quite difficult and we have listed the shortcomings in the limitations of our article. Further validation will need the joint efforts by other institutions. Portland Press Ltd. 2019-12-04 /pmc/articles/PMC6893163/ /pubmed/31710086 http://dx.doi.org/10.1042/BSR20193401 Text en © 2019 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY). |
spellingShingle | Correspondence Li, Peng Huang, Wei Wang, Feng Ke, Ye-Fang Gao, Lin Shi, Ke-Qing Zhou, Meng-Tao Chen, Bi-Cheng Reply to: Comments on “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma” |
title | Reply to: Comments on “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma” |
title_full | Reply to: Comments on “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma” |
title_fullStr | Reply to: Comments on “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma” |
title_full_unstemmed | Reply to: Comments on “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma” |
title_short | Reply to: Comments on “Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma” |
title_sort | reply to: comments on “nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage i/ii hepatocellular carcinoma” |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6893163/ https://www.ncbi.nlm.nih.gov/pubmed/31710086 http://dx.doi.org/10.1042/BSR20193401 |
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