Evidence map›Paper›PMID 24914351›Full record

ArticleWorld journal of gastroenterology2014

Determining hepatitis C virus genotype distribution among high-risk groups in Iran using real-time PCR.

Marzieh Jamalidoust, Mandana Namayandeh, Sadaf Asaei, Nasrin Aliabadi, Mazyar Ziyaeyan

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Oral Lichen Planus: an Overview of Potential Risk Factors, Biomarkers and TreatmentsAsian Pacific journal of cancer prevention : APJCP · 2018
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Epidemiology of hepatitis C virus in Iran.World journal of gastroenterology · 2015
    Review
  10. 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.

Marzieh JamalidoustMarzieh Jamalidoust, Mandana Namayandeh, Sadaf Asaei, Nasrin Aliabadi, Mazyar Ziyaeyan, Department of Virology, Alborzi Clinical Microbiology Research Center, Shiraz University of Medical Sciences, Shiraz 71937-11351, Iran.
Mandana NamayandehMarzieh Jamalidoust, Mandana Namayandeh, Sadaf Asaei, Nasrin Aliabadi, Mazyar Ziyaeyan, Department of Virology, Alborzi Clinical Microbiology Research Center, Shiraz University of Medical Sciences, Shiraz 71937-11351, Iran.
Sadaf AsaeiMarzieh Jamalidoust, Mandana Namayandeh, Sadaf Asaei, Nasrin Aliabadi, Mazyar Ziyaeyan, Department of Virology, Alborzi Clinical Microbiology Research Center, Shiraz University of Medical Sciences, Shiraz 71937-11351, Iran.
Nasrin AliabadiMarzieh Jamalidoust, Mandana Namayandeh, Sadaf Asaei, Nasrin Aliabadi, Mazyar Ziyaeyan, Department of Virology, Alborzi Clinical Microbiology Research Center, Shiraz University of Medical Sciences, Shiraz 71937-11351, Iran.
Mazyar ZiyaeyanMarzieh Jamalidoust, Mandana Namayandeh, Sadaf Asaei, Nasrin Aliabadi, Mazyar Ziyaeyan, Department of Virology, Alborzi Clinical Microbiology Research Center, Shiraz University of Medical Sciences, Shiraz 71937-11351, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo assess hepatitis C virus (HCV) genotype patterns among high-risk Iranian groups, using real-time RT-PCR.

methodsIn this study, we evaluated the distribution of different HCV genotypes among injection drug users and other high-risk groups over a 4-year period (from 2009 to 2012) using real-time polymerase chain reaction (PCR). Sera from 888 HCV-infected patients residing in southern and southwest Iran were genotyped using real-time PCR with common primers and specific probes. These patients were grouped into distinct exposure categories. Illicit drug users constituted the primary group and were further evaluated for HCV genotype distribution and parameters such as age range.

resultsOf the examined HCV-infected patients, 62% were substance abusers, although the route of transmission could not be determined in approximately 30% of these patients. HCV genotyping revealed that Gt1 was the most prevalent genotype among the drug users as well as among patients with thalassemia, hemophilia, solid organ recipients and those on hemodialysis. Mixed infections were only seen in addict groups, where Gt2 genotype was also found. The highest frequencies in HCV-positive addict patients were observed in the 31-40 age group. Our research also showed that the addiction age has increased, whereas the addiction rate has dropped in this region. Most illicit drug users had more than one risk factor such as tattoo and/or a history of imprisonment.

conclusionThis study revealed that the most common HCV-infection route and HCV-genotype in southern and southwest Iran was illicit drug abuse and Gt1, respectively.

Indexed as

GenotypeReal-Time Polymerase Chain ReactionAdolescentAdultAgedCross-Sectional StudiesFemaleGenes, ViralHepacivirusHepatitis CHumansIranMaleMiddle AgedPrisonersSubstance Abuse, IntravenousHepatitis C virus genotype distributionInjection drug usersIranReal-time PCR

Identifiers

PMID24914351
PMCPMC4024800

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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.