ArticleInternational journal of clinical pharmacy2018
Cost-effectiveness of novel treatment of hepatitis C virus in Lebanese patients.
Article in International journal of clinical pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled 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.
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
4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Decision-Analytical Modelling of Medicines in the Middle East: A Systematic Review of Economic Evaluation Studies.Applied health economics and health policy · 2025Pooled it
- A Systematic Review on Economic Evaluation Studies of Diagnostic and Therapeutic Interventions in the Middle East and North Africa.Applied health economics and health policy · 2022Pooled it
- Direct-Acting Antivirals Remain Cost-Effective Treatments for Chronic Hepatitis C in Australia Despite Changes to the Treated Population and the Availability of Retreatment: The Glecaprevir/Pibrentasvir (MaviretInfectious diseases and therapy · 2024Article
- Cost-effectiveness of screening and treatment using direct-acting antivirals for chronic Hepatitis C virus in a primary care setting in Karachi, Pakistan.Journal of viral hepatitis · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Limited data is available on Hepatitis C disease prevalence, treatment initiation and its cost-effectiveness in Lebanon and the whole Middle East. Objective The aim of the study is to assess whether initiation of novel Direct Acting Antiviral agents (DAAs) at early stage of hepatitis C is cost-effective in Lebanese patients. Setting Lebanon. Methods This modeling study was conducted from the perspective of Lebanese third party payers, where existing practice is based on international guidelines for the diagnosis and treatment of diseases. The model assessed cost-effectiveness of early versus delayed DAAs treatment in a standard patient upon HCV diagnosis. Medical costs were valued using in-house database. Main outcome measures Incremental Cost-Effectiveness Ratio (ICER) per QALY and per life-year extended. Results Treatment at early HCV disease stage has led to an ICER of 587 euro per QALY gained throughout the course of the disease. Outcomes of early treatment with DAAs upon HCV diagnosis led to an incremental cost of 27,268 euro per QALY gained at first year of treatment, and of 1527 euro per additional life-year extended. Sensitivity analysis showed that a 25% decrease in the cost of dual drug option resulted in a decrease of incremental cost to 16,982 euro per QALY gained at first year of treatment with DAAs upon early HCV diagnosis. Conclusion Decision makers are encouraged to reinforce the need to screen for HCV and initiate novel treatment at early disease stage in the Lebanese healthcare system.
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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.