Evidence map›Paper›PMID 32554476›Full record

ArticleJournal of clinical microbiology2020

Comparison of Serum Hepatitis B Virus RNA Levels and Quasispecies Evolution Patterns between Entecavir and Pegylated-Interferon Mono-treatment in Chronic Hepatitis B Patients.

Xiao-Qi Yu, Ming-Jie Wang, De-Min Yu, Pei-Zhan Chen, Ming-Yu Zhu, Wei Huang, Yue Han, Qi-Ming Gong, Xin-Xin Zhang

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. [Predictive value of serum HBV RNA for therapeutic effect of entecavir in patients with chronic hepatitis B].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
    Article
  5. Article
  6. [Expert consensus on measurement and clinical application of serum HBV RNA in patients with chronic HBV infection].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiao-Qi YuResearch Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Ming-Jie WangResearch Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
De-Min YuResearch Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Pei-Zhan ChenClinical Research Center, Ruijin Hospital North, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Ming-Yu ZhuDepartment of Gastroenterology & Hepatology, Ruijin Hospital North, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Wei HuangResearch Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yue HanResearch Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Qi-Ming GongDepartment of Infectious Diseases, Institute of Infectious & Respiratory Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China gongqm@hotmail.com zhangxinxin@rjh.com.cn.
Xin-Xin ZhangResearch Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China gongqm@hotmail.com zhangxinxin@rjh.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) RNA may independently predict virological and serological response. This study aimed to compare dynamic changes in serum HBV RNA levels and HBV quasispecies evolution patterns between entecavir and pegylated-interferon mono-treatment in chronic hepatitis B patients and to determine the clinical significance during treatment. TaqMan real-time PCR was used for quantitative analysis. HBV RNA levels were retrospectively determined in serial serum samples from 178 chronic hepatitis B patients who received either entecavir or pegylated-interferon treatment. Both serum HBV DNA and RNA quasispecies were analyzed via next-generation sequencing. Receiver operating characteristics (ROC) analysis was performed to evaluate the prediction value of individual biomarkers for hepatitis B e antigen (HBeAg) seroconversion. Patients who received pegylated-interferon treatment showed stronger declines in HBV RNA levels than did those who received entecavir treatment. Serum HBV RNA levels were lower in patients with subsequent HBeAg seroconversion. At baseline, the level of HBV RNA was better than other indicators in predicting HBeAg seroconversion. Moreover, the predictive value of serum HBV RNA levels was better in the entecavir group. Baseline HBV RNA exhibited a significantly higher genetic diversity than HBV DNA and had a significant decline after 4 weeks of entecavir treatment. Higher baseline genetic diversity may result in a better outcome in pegylated-interferon-treated patients. Serum HBV RNA levels showed different decline kinetics, and HBV RNA quasispecies showed different evolution patterns in entecavir and pegylated-interferon mono-treatment. Taken together, serum HBV RNA may serve as a promising biomarker of HBeAg seroconversion in patients during antiviral treatment.

Indexed as

Hepatitis B, ChronicHepatitis B virusAntiviral AgentsDNA, ViralGuanineHumansPolyethylene GlycolsQuasispeciesRecombinant ProteinsRetrospective StudiesRNATreatment OutcomeViral LoadAntiviral AgentsDNA, ViralentecavirGuaninePolyethylene GlycolsRecombinant ProteinsRNAentecavirETVHBVhepatitis B virusnucleos(t)ide analogue treatmentPeg-IFNpegylated interferonQSquasispecies

Identifiers

PMID32554476
PMCPMC7448659

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.