Dynamic change of LSM-HCC score and enhanced liver fibrosis score to predict hepatocellular carcinoma in chronic hepatitis B patients receiving antiviral treatment: abridged secondary publication
GLH Wong, VWS Wong
Department of Medicine and Therapeutics, The Chinese University of Hong Kong
 
 
1. A two-step algorithm combining LSM-HCC score and ELF score could improve the accuracy of predicting HCC in CHB patients after antiviral treatment.
2. The accuracy of predicting the risk of HCC after antiviral therapy may be further improved.
3. Clinicians could use this two-steps algorithm to better differentiate HBV patients and give a more specific surveillance method, which may save medical resources and help to decrease excessive medical care.
3. Clinicians could use this two-steps algorithm to better differentiate HBV patients and give a more specific surveillance method, which may save medical resources and help to decrease excessive medical care.
4. Better monitoring for CHB patients with the strategies of three-level prevention would improve the survival of patients and get economic benefits.
5. Further studies are needed to define the role of this algorithm to guide the need of intensity of HCC surveillance.
6. A prospective cohort study or a randomised controlled trial comparing this algorithm with existing recommendations would be warranted.