Evidence map›Paper›PMID 31179360›Full record

ArticleVirusdisease2019

Hepatitis B virus reverse transcriptase polymorphisms between treated and treatment-naïve chronically infected patients.

Masoumeh Rezanezhadi, Alireza Mohebbi, Fatemeh Sana Askari, Seyyede Delafruz Hosseini, Alijan Tabarraei

Open access · bronzeAbstract read
In one paragraph

Article in Virusdisease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. The Antiviral Activity of Polyphenols.Molecular nutrition & food research · 2025
    Review
  3. Article
  4. An overview of anti-Hepatitis B virus flavonoids and their mechanisms of action.Frontiers in cellular and infection microbiology · 2024
    Review
  5. 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 2 institutions in 1 country.

Masoumeh Rezanezhadi1Student Research Committee, Golestan University of Medical Sciences, Gorgan, Iran.
Alireza Mohebbi1Student Research Committee, Golestan University of Medical Sciences, Gorgan, Iran.
Fatemeh Sana Askari1Student Research Committee, Golestan University of Medical Sciences, Gorgan, Iran.
Seyyede Delafruz Hosseini1Student Research Committee, Golestan University of Medical Sciences, Gorgan, Iran.
Alijan Tabarraei2Infectious Diseases Research Centre, Golestan University of Medical Sciences, Gorgan, Iran.
Golestan University · IRGolestan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was investigation of variation(s) in the Hepatitis B virus (HBV) reverse transcriptase domain. 120 patients with chronic HBV infection recruited. 104 patients were received nucleos(t)ide analogs treatments. DNA extractions were done from plasma samples. Direct sequencing and alignment of Polymerase Chain Reaction products were applied for further analysis. HBV genotypes determined by NCBI's Genotyping Tool. Polymorphism(s) were detected by using DnaSP software. Of 120 samples, 98 were sequenced. All of products were HBV genotype D. 13/98 (13.27%) of patients had M539I/V substitutions corresponding to YMDD motif. FLLAQ to FLMAQ was observed among 22/98 (22.98) patients. Two substitutions N459Y and L515M were significantly correlated (R

Indexed as

Chronic hepatitis B virusDrug resistance conferring substitutionHBV reverse transcriptaseHepatitis B virus polymeraseNucleotide analogues resistance mutation

Identifiers

PMID31179360
PMCPMC6531556
OpenAlexW2909979680

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.