Evidence map›Paper›PMID 37002682›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Editorial: Effective Direct-Acting Antiviral Treatments Support Global and National Programs to Eliminate Hepatitis C.

Dinah V Parums

Open access · hybridAbstract readEditorial
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

1 author.

Dinah V ParumsScience Editor, Medical Science Monitor, International Scientific Information, Inc., Melville, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eliminating an infectious disease aims to result in no residual disease in a specific geographic area due to deliberate efforts, which may require ongoing control measures to prevent the re-establishment of infection transmission. Currently, no effective vaccines prevent hepatitis C virus (HCV) infection. However, during the past decade, oral direct-acting antivirals (DAAs) have been developed and approved for the treatment of HCV that result in a 'cure' in more than 95% of people infected. Morbidity and mortality from untreated hepatitis C result from liver failure, cirrhosis, and HCC and can be prevented by curative treatment with DAAs, which also prevents HCV transmission. Morbidity and mortality from untreated hepatitis C result from liver failure, cirrhosis, and HCC and can be prevented by curative treatment with DAAs, which also prevents HCV transmission. In May 2016, the World Health Assembly of the World Health Organization (WHO) proposed the first global health initiative on viral hepatitis, which proposed the elimination of hepatitis B and C by 2030. In March 2023, the US President announced that in the 2024 fiscal year budget proposal, a 5-year program was approved to eliminate hepatitis C in the US, using a screening and treatment approach. This Editorial aims to present the development of effective and curative DAA treatments for hepatitis C that support the WHO and US Federal programs for disease elimination.

Indexed as

Carcinoma, HepatocellularHepatitis CHepatitis C, ChronicLiver FailureLiver NeoplasmsAntiviral AgentsHepacivirusHumansLiver CirrhosisAntiviral Agents

Identifiers

PMID37002682
PMCPMC10075002
OpenAlexW4362522095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.