Systematic review and Meta-analysis of prediction models:a case study on the risk prediction model for hepatocellular carcinoma in patients with chronic hepatitis B
LIU Haorui
ZHOU Yesheng
LI Yuge
YU Shuang
SUN Feng
WU Shanshan
Abstract：This article aims to introduce the research methodology for systematic reviews and Meta-analyses of prediction models,detailing its six key steps(research question formulation,search strategy development,literature screening and risk of bias assessment,data extraction and preparation,evidence synthesis and Meta-analysis,and result interpretation and reporting),as well as commonly used tools(PROBAST risk of bias assessment tool and TRIPOD-SRMA reporting guidelines).This article uses the chronic hepatitis B-related hepatocellular carcinoma risk prediction model as an example to conduct a Meta-analysis of the 3-year predictive performance of the REACH-B model.This provides a systematic solution and technical approach for evidence synthesis in clinical prediction models.
Keywords：Prediction modelsSystematic reviewMeta-analysisRisk of bias assessmentHepatocellular carcinomaChronic hepatitis B
Publication Date：2025-08-25
Online Publishing Date：2025-09-18(First online date of this platform, not the publication date of the document)
Pages：9( 861-869 )