Evidence map›Paper›PMID 24976833›Full record

ArticleHepatitis monthly2014

Molecular epidemiology of different hepatitis C genotypes in serum and peripheral blood mononuclear cells in jahrom city of iran.

Asghar Ashrafi Hafez, Rasoul Baharlou, Seyed Dawood Mousavi Nasab, Abbas Ahmadi Vasmehjani, Mohammad Shayestehpour, Negar Joharinia, Nayeb Ali Ahmadi

Open access · hybridAbstract read
In one paragraph

Article in Hepatitis monthly, 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
1.6field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Occult HCV Infection: The Current State of Knowledge.Iranian Red Crescent medical journal · 2015
    Review
  9. Article
  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

7 authors at 5 institutions in 1 country.

Asghar Ashrafi HafezProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran.
Rasoul BaharlouDepartment of Microbiology, Jahrom University of Medical Sciences, Jahrom, IR Iran.
Seyed Dawood Mousavi NasabDepartment of Virology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, IR Iran.
Abbas Ahmadi VasmehjaniDepartment of Microbiology, Jahrom University of Medical Sciences, Jahrom, IR Iran.
Mohammad ShayestehpourDepartment of Virology, Tehran University of Medical Sciences, Tehran, IR Iran.
Negar JohariniaDepartment of Microbiology, Jahrom University of Medical Sciences, Jahrom, IR Iran.
Nayeb Ali AhmadiDepartment of Medical Lab Technology and Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IR Iran.
Jahrom University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRJahrom University · IRTarbiat Modares University · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Hepatitis C Virus (HCV) is considered essentially hepatotropic, yet the virus compartments have also been found in important extra hepatic sites. Detection of HCV RNA in extra hepatic reservoirs such as peripheral blood mononuclear cells (PBMCs) is important for determining disease progression and treatment effectiveness.

objectivesThe present study aimed to determine different HCV genotypes in patients' plasma and PBMC specimens, in Jahrom city of Iran. PATIENTS AND

methodsBlood samples of 137 patients with established HCV were collected at the Honari clinic. These patients were anti-HCV and plasma HCV RNA positive. After plasma RNA extraction and obtaining a pellet of approximately 3-5 × 10(6) PBMCs, Real-time PCR was performed, using specific-genotype primers. Finally, data analysis was done by the Statistical Package for Social Sciences (SPSS) software.

resultsSubtype 3 was the most common genotype in plasma (57.7%) and PBMCs (51.1%). Subtype 1a was detected in 36.5% and 30.7% of plasma samples and PBMCs, respectively whereas subtype 4 was not detected in any of the cases. There was a genotype difference between plasma and PBMCs of 12.4% of patients. In four patients no genotype was detected in their plasma but genotype 3 was detected in the PBMCs.

conclusionsIt is suggested that determination of the target genotype by plasma subtyping for choosing the proper antiviral therapy is essential but may result in therapy failure. HCV genotyping in PBMC samples, along with plasma specimens, might be more beneficial. Therefore determining the HCV genotype in PBMCs, before beginning the therapy is useful due to the possibility of occult infection detection.

Indexed as

GenotypeHepatitis C VirusPolymerase Chain Reaction

Identifiers

PMID24976833
PMCPMC4071316
OpenAlexW2100163892

What OpenQuestion holds

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LicenceCC BY
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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.