Evidence map›Paper›PMID 36986354›Full record

ReviewPathogens (Basel, Switzerland)2023

Challenges Facing Viral Hepatitis C Elimination in Lebanon.

Nour Ayoub, Taha Hatab, Abdul Rahman Bizri

Open access · goldAbstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2023. 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
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Nour AyoubFaculty of Medicine, American University of Beirut, Beirut 11-0236, Lebanon.
Taha HatabFaculty of Medicine, American University of Beirut, Beirut 11-0236, Lebanon.
Abdul Rahman BizriFaculty of Medicine, Division of Infectious Diseases, Department of Internal Medicine, American University of Beirut, Beirut 11-0236, Lebanon.ORCID 0000-0002-2763-9395
American University of Beirut · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C is a hepatotropic virus that causes progressive liver inflammation, eventually leading to cirrhosis and hepatocellular carcinoma if left untreated. All infected patients can achieve a cure if treated early. Unfortunately, many patients remain asymptomatic and tend to present late with hepatic complications. Given the economic and health burdens of chronic hepatitis C infection, the World Health Organization (WHO) has proposed a strategy to eliminate hepatitis C by 2030. This article describes the epidemiology of hepatitis C in Lebanon and highlights the challenges hindering its elimination. An extensive search was conducted using PubMed, Medline, Cochrane, and the Lebanese Ministry of Public Health-Epidemiologic Surveillance Unit website. Obtained data were analyzed and discussed in light of the current WHO recommendations. It was found that Lebanon has a low prevalence of hepatitis C. Incidence is higher among males and Mount Lebanon residents. A wide variety of hepatitis C genotypes exists among various risk groups, with genotype 1 being the most predominant. In Lebanon, many barriers prevent successful hepatitis C elimination, including the absence of a comprehensive screening policy, stigma, neglect among high-risk groups, economic collapse, and a lack of proper care and surveillance among the refugees. Appropriate screening schemes and early linkage to care among the general and high-risk populations are essential for successful hepatitis C elimination in Lebanon.

Indexed as

challengeseliminationhepatitis CincidenceinfectionLebanonprevalence

Identifiers

PMID36986354
PMCPMC10057017
OpenAlexW4323663937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.