Evidence map›Paper›PMID 36160238›Full record

ReviewFrontiers in microbiology2022

Current treatment of chronic hepatitis B: Clinical aspects and future directions.

Minmin Zhu, Hui Wang, Tao Lou, Pian Xiong, Jiebing Zhang, Lele Li, Yuchao Sun, Yingping Wu

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
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  8. Review
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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

8 authors.

Minmin ZhuThe Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua, China.
Hui WangThe Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua, China.
Tao LouThe Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua, China.
Pian XiongThe Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua, China.
Jiebing ZhangThe Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua, China.
Lele LiThe Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua, China.
Yuchao SunThe Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua, China.
Yingping WuThe Fourth Affiliated Hospital of Zhejiang University School of Medicine, Jinhua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) infection is a public health threat worldwide, and there is no direct treatment yet available. In the event of infection, patients may present liver cirrhosis and cancer, which threaten the patients' health globally, especially in the Asia-Pacific region and China. In 2019, Chinese hepatopathologists updated the 2015 Guidelines for the Prevention and Treatment of Chronic Hepatitis B as the clinical reference. The other versions formulated by the American Association for the Study of Liver Diseases (2018 AASLD guidelines) (AASLD, 2018), European Association for the Study of the Liver (2017 EASL guidelines) (EASL, 2017), and Asian-Pacific Association for the Study of the Liver (2015 APASL guidelines) (APASL, 2015) also provide clinical guidance. However, there are still some issues that need to be addressed. In the present study, the following aspects will be introduced successively: (1) Who should be treated in the general population according to the guidelines; (2) Treatment of specific populations infected with HBV; (3) Controversial issues in clinical practice; (4) Perspective.

Indexed as

ALTHBV infectionimmune tolerantretreatmenttreatmentwithdrawal

Identifiers

PMID36160238
PMCPMC9493448

What OpenQuestion holds

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Registered trials

None linked

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.