Evidence map›Paper›PMID 39597566›Full record

ReviewMicroorganisms2024

Chronic Hepatitis D Virus Infection and Its Treatment: A Narrative Review.

Poonam Mathur, Arshi Khanam, Shyam Kottilil

Abstract readReview
In one paragraph

Review in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. [Analysis of the prevalence status and clinical characteristics of the hepatitis D virus in the Xinjiang region].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    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

3 authors.

Poonam MathurInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0003-1346-9388
Arshi KhanamInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0001-6045-6884
Shyam KottililInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0001-7471-0812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 12 million individuals worldwide are chronically infected with the hepatitis D virus (HDV). HDV infection is the most severe form of viral hepatitis since it requires hepatitis B virus co-infection and accelerates progression to cirrhosis and hepatocellular carcinoma. Therefore, treatment modalities to slow the progression of the disease are essential but not yet available. In addition, no antiviral treatment to date has been shown to reliably eradicate HDV. Pegylated interferon (PEG-IFN) is the only universally used treatment to suppress HDV RNA replication and improve liver inflammation and fibrosis. This treatment can be completed in 12-18 months, but cure rates remain low, and success does not reliably increase with the addition of a nucleos(t)ide analog. PEG-IFN therapy is also limited by poor tolerability and multiple adverse effects, including neutropenia, thrombocytopenia, and neuropsychiatric symptoms. Newer antiviral therapies in development target unique aspects of HDV viral replication and show promising results in combination with PEG-IFN for long-term HDV RNA suppression. These newer antiviral therapies include buleviritide (which blocks HDV entry), lonafarnib (which prevents HDV assembly), and REP-2139 (which prevents HDV export). In this manuscript, we discuss the characteristics of HDV infection and review the new antiviral therapies approved for treatment and those under investigation.

Indexed as

hepatitishepatitis D virustreatment

Identifiers

PMID39597566
PMCPMC11596900

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.