Evidence map›Paper›PMID 28680834›Full record

ArticleJournal of translational internal medicine2017

Direct Acting Anti-hepatitis C Virus Drugs: Clinical Pharmacology and Future Direction.

Ayman Geddawy, Yasmine F Ibrahim, Nabil M Elbahie, Mohammad A Ibrahim

Open access · hybridAbstract read
In one paragraph

Article in Journal of translational internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% 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

92 citing papers in PubMed, 2 syntheses or guidelines pooled it, 195 citations in OpenAlex.

  1. Pooled it
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  5. Mass balance study of [Antimicrobial agents and chemotherapy · 2026
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32 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Ayman GeddawyDepartment of Pharmacology, Faculty of Medicine, Minia University, El- Minia 61519, Egypt.
Yasmine F IbrahimDepartment of Pharmacology, Faculty of Medicine, Minia University, El- Minia 61519, Egypt.
Nabil M ElbahieDepartment of Pharmacology, Faculty of Medicine, Alexandria UniversityEgypt.
Mohammad A IbrahimDepartment of Pharmacology, Faculty of Medicine, Minia University, El- Minia 61519, Egypt.
Minia University · EGAlexandria University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic hepatitis C virus (HCV) infection is a leading cause of chronic liver disease. The introduction of direct acting antiviral agents (DAAs) for its treatment represents a major advance in terms of sustained virologic response (SVR) rates and adverse effect profiles. Mechanistically, DAAs inhibit specific HCV non-structural proteins (NS) that are vital for its replication. Boceprevir, telaprevir, simeprevir, asunaprevir, grazoprevir and paritaprevir are NS3/4A inhibitors. Ombitasvir, ledipasvir, daclatasvir, elbasvir and velpatasvir are NS5A inhibitors. Sofosbuvir and dasabuvir are NS5B inhibitors. Currently, a combination of two or more DAAs is the corner stone for the treatment of HCV infection. However, the success of DAA therapy is facing several challenges, including the potential of drug-drug interactions and resistant variance. Moreover, the shortage of relevant clinical pharmacological data and drug interaction regarding DAA is a clinical concern. The present review discusses the clinical pharmacology of DAAs with special emphasis on drug-drug interaction.

Indexed as

daclatasvirdirect acting antiviraldrug interactionshepatitis C virusledipasvirsofosbuvir

Identifiers

PMID28680834
PMCPMC5490957
OpenAlexW2605753778

What OpenQuestion holds

Textmetadata
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.