ReviewJournal of clinical and experimental hepatology
The Forgotten Virus, Hepatitis D: A Review of Epidemiology, Diagnosis, and Current Treatment Strategies.
Review in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Sensitive reverse transcription-digital droplet PCR-based discrimination of hepatitis delta virus RNAs reveals differential effects of interferon-α on viral RNA species.The Journal of general virology · 2026Article
- The Impact of Chronic Hepatitis D Virus Infection on Health-Related Quality of Life and Fatigue: A Real-World International Study.Journal of viral hepatitis · 2026Article
- Long-Term Post-transplant Outcomes in Patients with Hepatitis D Virus Infection at a High-Volume Liver Transplant Center.Digestive diseases and sciences · 2026Article
- Applications of CRISPR/Cas as a Toolbox for Hepatitis B Virus Detection and Therapeutics.Viruses · 2024Review
- Hepatitis C Virus as a Possible Helper Virus in Human Hepatitis Delta Virus Infection.Viruses · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatitis D virus (HDV) is an RNA subvirus that infects patients with co-existing hepatitis B virus (HBV) infections. HDV burden is estimated to be approximately 15-20 million people worldwide. Despite HDV severity, screening for HDV remains inadequate. HDV screening would benefit from a revamped approach that automatically reflexes testing when individuals are diagnosed with HBV if HBsAg-positive, to total anti-HDV, and then to quantitative HDV-RNA polymerase chain reaction (PCR) rather than only testing those at high risk sequentially. There are no current treatments in the United States that are Food and Drug Administration (FDA)-approved for the treatment of HDV; however, bulevirtide (BLV) is approved in the European Union conditionally and is under review with the United States FDA. Current treatment strategies in many countries are centered on the use of pegylated-interferon-alfa-2a (PEG-IFNa-2a). There are other therapies in development globally that have shown promise, including BLV, pegylated-interferon-lambda (PEG-IFN-lambda), and lonafarnib (LNF). LNF has shown substantial response in the LOWR trials. BLV is a well-tolerated drug, but it is not finite therapy and has shown significant on-treatment responses in the MYR clinical trials, and the FDA cited concerns with the manufacturing and patient preparation of the drug that have delayed approval. The PDUFA date for BLV in the United States is mid-2024. Current studies with both BLV and LNF are limited in providing sustained virological response (SVR); future trials will need to demonstrate more substantial SVR with possible triple combination trials as options.
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What OpenQuestion holds
Registered trials
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.