Evidence map›Paper›PMID 23409946›Full record

ArticleVirology journal2013

Characterization of antiviral resistance mutations among the Eastern Indian Hepatitis B virus infected population.

Rajesh Panigrahi, Avik Biswas, Binay Krishna De, Sekhar Chakrabarti, Runu Chakravarty

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Current Scenario of Hepatitis B and Its Treatment in India.Journal of clinical and translational hepatology · 2017
    Review
  5. Article
  6. Review
  7. 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

5 authors at 4 institutions in 1 country.

Rajesh PanigrahiICMR Virus Unit, Kolkata, ID & BG Hospital Campus, Kolkata, India.
Avik Biswas
Binay Krishna De
Sekhar Chakrabarti
Runu Chakravarty
Indian Council of Medical Research · INMedical College and Hospital, Kolkata · INNational Institute of Cholera and Enteric Diseases · INVirus Unit · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntiviral therapy using nucleos(t)ide analogues (NAs) is an effective control measure of chronic hepatitis B virus (HBV) infection; however they need long term treatment. Presence of drug-resistance mutations may get in the way of the efficacy of antiviral therapy. Our study was aimed at defining the prevalence of HBV drug-resistance in HBVrt region in a population of 147 HBsAg positive patients.

findingsHBV/D has shown multiple types of HBVrt mutations both among treatment naïve (65.0%, 13 of 20 HBV/D) and treated patients (56.2%, 9 of 16 HBV/D). In additional, several mutations, with a suggested role in drug resistance, were detected among the treatment naïve as well as the treated patients. The mutations reported to be involved in reduction of drug effectiveness, was common among non-responders to therapy as well as among the naïve patients. Notably, classical antiviral resistance mutations (rtL80I/V-rtI169T-rtV173L-rtL180M-rtA181T/V/S-rtT184A/S/G/C-rtA194T-rtS202C /G/I -rtM204V/I-rtN236T-rtM250V) were not detected.

conclusionThe prevalence of putative NAr mutations among non responders to therapy suggests that they might have role in reduced efficacy of currently available antivirals and requires further investigations.

Indexed as

Drug Resistance, ViralMutation, MissenseAdultAntiviral AgentsDNA, ViralFemaleHepatitis B, ChronicHepatitis B virusHumansIndiaMaleMiddle AgedMolecular Sequence DataPolymorphism, GeneticPrevalenceRetrospective StudiesAntiviral AgentsDNA, Viral

Identifiers

PMID23409946
PMCPMC3621210
OpenAlexW2101437829

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Registered trials

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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.