Title |
The Survival Benefit of Liver Transplantation for Hepatocellular Carcinoma Patients with Hepatitis B Virus Infection and Cirrhosis
|
---|---|
Published in |
PLOS ONE, December 2012
|
DOI | 10.1371/journal.pone.0050919 |
Pubmed ID | |
Authors |
Qing Zhang, Xinguo Chen, Yunjin Zang, Li Zhang, Hong Chen, Letian Wang, Yujian Niu, Xiuyun Ren, Zhongyang Shen, Lei Shang |
Abstract |
A precise predictive survival model of liver transplantation (LT) with antiviral prophylaxis for hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC) and cirrhosis has not been established. The aim of our study was to identify predictors of outcome after LT in these patients based on tumor staging systems, antitumor therapy pre-LT, and antiviral prophylaxis in patients considered to be unfit by Milan or UCSF criteria. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 4 | 22% |
Student > Ph. D. Student | 4 | 22% |
Researcher | 2 | 11% |
Student > Postgraduate | 2 | 11% |
Student > Master | 1 | 6% |
Other | 3 | 17% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 67% |
Computer Science | 1 | 6% |
Nursing and Health Professions | 1 | 6% |
Decision Sciences | 1 | 6% |
Engineering | 1 | 6% |
Other | 0 | 0% |
Unknown | 2 | 11% |