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Development and validation of a risk score for predicting mortality after resection of primary hepatocellular carcinoma

Background: Primary hepatocellular carcinoma (PHCC) has a poor prognosis and high short-term mortality rate, even after resection. Thus, early diagnosis in PHCC cases can help improve quality of life via personalized management strategies. Results: The risk score system (RSS) were classified as low...

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Autores principales: Zhou, Xiang, Cai, Bin-Bin, Hou, Xiang-Qing, Kang, Xing-Kai, Xu, Xiang-Xiang, Wang, Wei-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343477/
https://www.ncbi.nlm.nih.gov/pubmed/32568098
http://dx.doi.org/10.18632/aging.103360
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author Zhou, Xiang
Cai, Bin-Bin
Hou, Xiang-Qing
Kang, Xing-Kai
Xu, Xiang-Xiang
Wang, Wei-Ming
author_facet Zhou, Xiang
Cai, Bin-Bin
Hou, Xiang-Qing
Kang, Xing-Kai
Xu, Xiang-Xiang
Wang, Wei-Ming
author_sort Zhou, Xiang
collection PubMed
description Background: Primary hepatocellular carcinoma (PHCC) has a poor prognosis and high short-term mortality rate, even after resection. Thus, early diagnosis in PHCC cases can help improve quality of life via personalized management strategies. Results: The risk score system (RSS) were classified as low risk (<5 points), medium risk (5–10 points), or high risk (>10 points). The areas under the receiver operating characteristic curves were 0.80 in the training cohort and 0.69 in the validation cohort, which indicated satisfactory prognostic performance. The Hosmer-Lemeshow goodness of fit test (P>0.05) revealed consistent performance in both groups. The concordance index (C-index: 0.663, 95% CI: 0.618–0.708) revealed excellent discrimination and good calibration in the validation cohort. Conclusions: This simple RSS, which is based on clinical and laboratory data from patients undergoing resection of PHCC, might allow clinicians and medical staff to better manage PHCC. Materials and Methods: A total of 672 PHCC cases were retrospectively obtained from the First Affiliated Hospital of Wenzhou Medical University between January 2007 and February 2015. Cox proportional hazard models were used to identify independent predictors of mortality. Kaplan-Meier curves and the log-rank test were used to examine the relationships between the prognostic factors and overall mortality.
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spelling pubmed-73434772020-07-15 Development and validation of a risk score for predicting mortality after resection of primary hepatocellular carcinoma Zhou, Xiang Cai, Bin-Bin Hou, Xiang-Qing Kang, Xing-Kai Xu, Xiang-Xiang Wang, Wei-Ming Aging (Albany NY) Research Paper Background: Primary hepatocellular carcinoma (PHCC) has a poor prognosis and high short-term mortality rate, even after resection. Thus, early diagnosis in PHCC cases can help improve quality of life via personalized management strategies. Results: The risk score system (RSS) were classified as low risk (<5 points), medium risk (5–10 points), or high risk (>10 points). The areas under the receiver operating characteristic curves were 0.80 in the training cohort and 0.69 in the validation cohort, which indicated satisfactory prognostic performance. The Hosmer-Lemeshow goodness of fit test (P>0.05) revealed consistent performance in both groups. The concordance index (C-index: 0.663, 95% CI: 0.618–0.708) revealed excellent discrimination and good calibration in the validation cohort. Conclusions: This simple RSS, which is based on clinical and laboratory data from patients undergoing resection of PHCC, might allow clinicians and medical staff to better manage PHCC. Materials and Methods: A total of 672 PHCC cases were retrospectively obtained from the First Affiliated Hospital of Wenzhou Medical University between January 2007 and February 2015. Cox proportional hazard models were used to identify independent predictors of mortality. Kaplan-Meier curves and the log-rank test were used to examine the relationships between the prognostic factors and overall mortality. Impact Journals 2020-06-21 /pmc/articles/PMC7343477/ /pubmed/32568098 http://dx.doi.org/10.18632/aging.103360 Text en Copyright © 2020 Zhou et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Zhou, Xiang
Cai, Bin-Bin
Hou, Xiang-Qing
Kang, Xing-Kai
Xu, Xiang-Xiang
Wang, Wei-Ming
Development and validation of a risk score for predicting mortality after resection of primary hepatocellular carcinoma
title Development and validation of a risk score for predicting mortality after resection of primary hepatocellular carcinoma
title_full Development and validation of a risk score for predicting mortality after resection of primary hepatocellular carcinoma
title_fullStr Development and validation of a risk score for predicting mortality after resection of primary hepatocellular carcinoma
title_full_unstemmed Development and validation of a risk score for predicting mortality after resection of primary hepatocellular carcinoma
title_short Development and validation of a risk score for predicting mortality after resection of primary hepatocellular carcinoma
title_sort development and validation of a risk score for predicting mortality after resection of primary hepatocellular carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343477/
https://www.ncbi.nlm.nih.gov/pubmed/32568098
http://dx.doi.org/10.18632/aging.103360
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