Open AccessA nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis
Author(s) -
Junjie Kong,
Tao Wang,
Shu Shen,
Zifei Zhang,
Wentao Wang
Publication year - 2019
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0219654
Subject(s) - nomogram , medicine , multivariate analysis , concordance , oncology , epidemiology , stage (stratigraphy) , hepatocellular carcinoma , multivariate statistics , young adult , population , statistics , biology , paleontology , mathematics , environmental health
Background Few studies have reported the clinical characteristics and outcomes of young adult patients diagnosed with hepatocellular carcinoma (HCC). This study aimed to formulate a nomogram to predict the prognosis of young adult HCC patients. Methods Young adult patients diagnosed with HCC from 2004 to 2015 were screened from the Surveillance, Epidemiology, and End Results (SEER) database. Based on the multivariate analysis results, a nomogram was constructed. The concordance index (c-index) and calibration were used to assess the predictive performance of the nomogram. The clinical benefit was measured by using decision curve analysis (DCA). Results The mean follow-up time of the patients was 25.0±34.0 months. Gender, race, AFP level, Edmondson–Steiner classification, treatment and TNM stage were selected as independent prognostic factors and integrated into the nomogram. The c-indexes of the two sets were 0.786 and 0.775, respectively. The calibration curves showed good agreement between the nomogram-predicted probability and the actual observations. Furthermore, the DCA indicated that the nomogram had positive net benefits compared with the conventional staging system. Conclusions The nomogram could accurately predict the prognosis of young adult HCC patients.