Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Development of a nomogram for predicting the long-term risk of hepatocellular carcinoma after antiviral treatment for hepatitis C
by
Li, Jing
, He, Yingli
, Zhu, Chengbin
, Yangjin, Baima
, Xu, Weicheng
in
Analysis
/ Antiviral agents
/ Antiviral treatment
/ Care and treatment
/ Chronic hepatitis c
/ Complications and side effects
/ Decision-making
/ Diagnosis
/ Dosage and administration
/ Gastroenterology
/ Health aspects
/ Hepatocellular carcinoma
/ Hepatology
/ Hepatoma
/ Internal Medicine
/ Medicine
/ Medicine & Public Health
/ Nomogram
/ Nomography (Mathematics)
/ Risk factors
/ Sustained virological response
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Development of a nomogram for predicting the long-term risk of hepatocellular carcinoma after antiviral treatment for hepatitis C
by
Li, Jing
, He, Yingli
, Zhu, Chengbin
, Yangjin, Baima
, Xu, Weicheng
in
Analysis
/ Antiviral agents
/ Antiviral treatment
/ Care and treatment
/ Chronic hepatitis c
/ Complications and side effects
/ Decision-making
/ Diagnosis
/ Dosage and administration
/ Gastroenterology
/ Health aspects
/ Hepatocellular carcinoma
/ Hepatology
/ Hepatoma
/ Internal Medicine
/ Medicine
/ Medicine & Public Health
/ Nomogram
/ Nomography (Mathematics)
/ Risk factors
/ Sustained virological response
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Development of a nomogram for predicting the long-term risk of hepatocellular carcinoma after antiviral treatment for hepatitis C
by
Li, Jing
, He, Yingli
, Zhu, Chengbin
, Yangjin, Baima
, Xu, Weicheng
in
Analysis
/ Antiviral agents
/ Antiviral treatment
/ Care and treatment
/ Chronic hepatitis c
/ Complications and side effects
/ Decision-making
/ Diagnosis
/ Dosage and administration
/ Gastroenterology
/ Health aspects
/ Hepatocellular carcinoma
/ Hepatology
/ Hepatoma
/ Internal Medicine
/ Medicine
/ Medicine & Public Health
/ Nomogram
/ Nomography (Mathematics)
/ Risk factors
/ Sustained virological response
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Development of a nomogram for predicting the long-term risk of hepatocellular carcinoma after antiviral treatment for hepatitis C
Journal Article
Development of a nomogram for predicting the long-term risk of hepatocellular carcinoma after antiviral treatment for hepatitis C
2025
Request Book From Autostore
and Choose the Collection Method
Overview
Background
The impact of direct acting antivirals (DAAs) on hepatitis C virus related hepatocellular carcinoma (HCV-HCC) incidence after sustained virologic response (SVR) remains controversial. We aimed to compare long-term HCC incidence after SVR induced by interferon (IFN) and DAA therapy, also to construct a nomogram model for predicting long-term HCC incidence after HCV cure.
Methods
A total of 405 patients treated with IFN or DAA were analyzed. 200 patients who achieved SVR were assigned to IFN and DAA group by propensity score matching. The COX regression, LASSO logistic regression, and best subset regression (BSR) were adopted to select variables independently associated with HCC incidence and construct nomogram.
Results
After a median follow-up period of 72.0 (interquartile range 57.5–90.0) months, HCC developed in 7 (7%) and 15 (15%) patients in IFN and DAA groups, respectively. The cumulative HCC rates were comparable between the two groups (HR: 0.917, 95% CI: 0.262–1.968,
P
= 0.520). Out of all three models constructed by COX, LASSO and BSR, model 2 and 3 both contained gender, age, platelet count and alkaline phosphatase, exhibited the minimum Akaike Information Criterion (174.54) and the best predictive performance for 8-year HCC incidence (AUROC = 0.905). Using these four factors, a novel nomogram was established to predict 8-year HCC occurrence following HCV eradication. It showed significant clinical benefit according to decision curve analysis.
Conclusions
DAAs exert the same long-term protect role against HCC as IFN treatment, though the development of HCC is still inevitable. Herein, we developed a 8-year HCC-predicting nomogram that can be used to guide clinical screening strategies.
Publisher
BioMed Central,BioMed Central Ltd,BMC
Subject
This website uses cookies to ensure you get the best experience on our website.