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Predictive value of preoperative and postoperative peripheral lymphocyte difference in hepatitis B virus‐related hepatocellular cancer patients: Based on the analysis of dynamic nomogram
Author(s) -
Luo Dingan,
Li Haoran,
Yu Heng,
Zhang Mao,
Hu Jianchong,
Jin Cheng,
Chua Meisze,
Han Bing
Publication year - 2020
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.26195
Subject(s) - nomogram , medicine , receiver operating characteristic , hepatocellular carcinoma , proportional hazards model , oncology , hazard ratio , area under the curve , hepatitis b virus , gastroenterology , surgery , confidence interval , virus , immunology
Background Inflammation plays an important role in the progression and prognosis of hepatocellular carcinoma (HCC). Our aim is to explore the prognostic value of preoperative and postoperative peripheral lymphocyte differences and to develop a dynamic prognosis nomogram in hepatitis B virus‐related HCC patients. Methods Important indicators related to overall survival (OS) are screened out by Cox proportional hazard models. The receiver operating characteristic curves, decision curve analysis curves, net reclassification improvement, and integrated discrimination improvement were used to evaluate the performance of the model. Results Lymphocyte (L) difference was an independent risk factor. It was further verified that the performance of the nomogram was significantly improved after the L difference was incorporated into the nomogram. The nomogram generated had the area under curves of 0.779, 0.775, and 0.793 at 3, 5, and 7 years after surgery, respectively. Our nomogram models showed significantly better performance in predicting the HCC prognosis compared to other models. And online webserver and scoring system table was built based on the proposed nomogram for convenient clinical use. Conclusions It is newly found that L difference is an effective predictor of OS, and the nomogram based on this indicator can accurately predict the prognosis of HCC patients.