Evidence map›Paper›PMID 27855500›Full record

ReviewFuture microbiology2016

Treatment of hepatitis B virus: an update.

Haley Ward, Lydia Tang, Bhawna Poonia, Shyam Kottilil

Abstract readReview
In one paragraph

Review in Future microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Establishment of a system for finding inhibitors of ε RNA binding with the HBV polymerase.Genes to cells : devoted to molecular & cellular mechanisms · 2020
    Article
  8. Article
  9. Evaluation of thePolish journal of microbiology · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

4 authors.

Haley WardCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
Lydia TangDivision of Clinical Care & Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Bhawna PooniaDivision of Clinical Care & Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Shyam KottililDivision of Clinical Care & Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic hepatitis B virus infection is a global health concern as it affects over 240 million people worldwide and an estimated 686,000 people die annually as a result of complications of the disease. With the development of newer antiviral drugs, viral suppression of HBV is achievable, however elimination of HBV from infected individuals (functional cure) remains an issue. Due to persistence of HBV DNA (cccDNA) in infected cells, chronically infected patients who discontinue therapy prior to HBsAg loss or seroconversion are likely to relapse. Several novel therapeutic strategies are being researched and studied in clinical trials. Here we review these novel strategies to achieve sustained cure or elimination of HBV. These strategies include the targeting of the host or viral factors required for viral persistence as well as therapeutic vaccines.

Indexed as

AnimalsAntiviral AgentsHepatitis B, ChronicHepatitis B Surface AntigensHepatitis B virusHumansAntiviral AgentsHepatitis B Surface AntigenscccDNAeradicationHBVhepatitis BTLRsToll-like receptors

Identifiers

PMID27855500
PMCPMC5549775

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.