ReviewWorld journal of hepatology2024
Bridging the gap: Addressing disparities in hepatitis C screening, access to care, and treatment outcomes.
Review in World journal of hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Identifying communities at elevated risk of hepatitis C infection in Los Angeles County: an ecological study using machine learning.BMC public health · 2026Article
- Hepatitis C care cascade using direct-acting antivirals in rural new York State from 2013 to 2023: a retrospective observational study.BMC infectious diseases · 2026Observational
- Article
- Factors influencing hepatitis C treatment initiation in a high-prevalence Brazilian state.Cadernos de saude publica · 2026Article
- Integrating hepatitis and HIV point-of-care testing into mandatory migrant tuberculosis screening in the Netherlands: A feasibility and acceptability study.Public health in practice (Oxford, England) · 2025Article
- Early performance of a decentralised, primary-care hepatitis C programme in Cambodia: a retrospective programme evaluation, 2024.The Lancet regional health. Western Pacific · 2025Article
- A Bibliometric Analysis of the HCV Drug-Resistant Majority and Minority Variants.International journal of environmental research and public health · 2025Article
- Trends in Use of Direct-Acting Antivirals for Treatment of Hepatitis C Virus Infection in Australia 2016-2024.Journal of viral hepatitis · 2025Article
- Prioritising viral hepatitis elimination to prevent hepatocellular carcinoma: A public health approach for effective preventive hepatology.JHEP reports : innovation in hepatology · 2025Review
- Elimination of HCV Infection: Recent Epidemiological Findings, Barriers, and Strategies for the Coming Years.Viruses · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatitis C virus (HCV) is a significant public health challenge globally, with substantial morbidity and mortality due to chronic liver disease. Despite the availability of highly effective and well-tolerated direct-acting antiviral therapies, widespread disparities remain in hepatitis C screening, access to treatment, linkage to care, and therapeutic outcomes. This review article synthesizes evidence from various studies to highlight the multifactorial nature of these disparities, which affects ethnic minorities, people with lower socioeconomic status, individuals with substance use disorders, and those within correctional facilities. The review also discusses policy implications and targeted strategies needed to overcome barriers and ensure equitable care for all individuals with HCV. Recommendations for future research to address gaps in knowledge and evaluation of the effectiveness of interventions designed to reduce disparities are provided.
Indexed as
Identifiers
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.