Incidence rate of low-level viremia and related influencing factors in treatment-experienced chronic hepatitis B patients:A Meta-analysis
Objective To systematically evaluate the incidence rate of low-level viremia(LLV)in chronic hepatitis B(CHB)patients and related influencing factors,and to provide evidence-based medicine evidence for effective intervention and prevention of LLV in clinical practice.Methods This study was conducted according to the PRISMA guideline,with a PROSPERO registration number of CRD42023455304.CNKI,Wanfang Data,VIP,SinoMed,PubMed,Embase,Web of Science,and the Cochrane library were searched for observational studies on LLV and related influencing factors in CHB patients published up to July 21,2023.Stata 16.0 software was used to perform the meta-analysis.Results A total of 12 articles were included,with a total sample size of 3408 cases,among whom there were 1181 patients with LLV.The meta-analysis showed that the incidence rate of LLV was 32.8%(95%confidence interval[CI]:27.6%—38.3%)in treatment-experienced CHB patients.High HBsAg quantification(odds ratio[OR]=2.107,95%CI:1.782—2.491,P<0.001),positive HBeAg(OR=3.258,95%CI:2.629—4.038,P<0.001),high HBV DNA level at baseline(OR=1.286,95%CI:1.157—1.430,P<0.001),and history of entecavir treatment(OR=3.089,95%CI:1.880—5.074,P<0.001)were risk factors for LLV;duration of antiviral therapy≥3 years(OR=0.175,95%CI:0.093—0.331,P<0.001)and high alanine aminotransferase level at baseline(OR=0.985,95%CI:0.978—0.992,P<0.001)were protective factors against LLV.The sensitivity analysis showed no significant change in effective value,suggesting that the results of the meta-analysis were relatively stable.The funnel plot of the studies included was basically symmetrical,and the results of the Egger's test and the Begg's test suggested that there was no obvious publication bias in the articles included.Conclusion Clinicians should guide decision making based on the influencing factors for LLV and related clinical evidence,so as to reduce long-term clinical risks and avoid adverse outcomes.
国家科技期刊平台
NSTL
万方数据
