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Commentary on: Nomograms based on inflammatory biomarkers for predicting tumor grade and microvascular invasion in stage I/II hepatocellular carcinoma
Author(s) -
Xiao Liang,
Furong Zeng,
Guangtong Deng
Publication year - 2019
Publication title -
bioscience reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 77
eISSN - 1573-4935
pISSN - 0144-8463
DOI - 10.1042/bsr20190683
Subject(s) - nomogram , hepatocellular carcinoma , stage (stratigraphy) , multivariate analysis , medicine , t stage , oncology , multivariate statistics , pathology , overall survival , biology , mathematics , statistics , paleontology
Some doubts were generated during the reading of nomograms based on inflammatory biomarkers for preoperatively predicting tumor grade and microvascular invasion in stage I/II hepatocellular carcinoma (HCC). We would like to highlight and discuss with authors. First, neutrophil-lymphocyte ratio (NLR) and derived NLR (dNLR) should not be entered into multivariate analysis simultaneously. Second, authors should clarify how the cutoffs of these variables including lymphocyte-monocyte ratio (LMR), dNLR, age and tumor size were set. We insist that the type of variables should be consistent when we carry out the analysis and establish the nomogram. Last, we have to point out that Li et al.'s (Biosci. Rep. (2018), 38) study failed to validate nomograms using an independent dataset.

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