Evidence map›Paper›PMID 22690234›Full record

ArticleHepatitis monthly2012

Evaluation of multiplex nested polymerase chain reaction for routine hepatitis C virus genotyping in egyptian patients.

Mohamed Abbas Shemis, Dina Mohamed El-Abd, Dalia Ibrahim Ramadan, Mohamed Ibrahim El-Sayed, Bassem Shenoda Guirgis, Mohamed Ali Saber, Hassan Mohamed El-Said Azzazy

Open access · hybridAbstract read
In one paragraph

Article in Hepatitis monthly, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

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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 2 institutions in 1 country.

Mohamed Abbas ShemisDepartment of Biochemistry, Theodor Bilharz Research Institute, Giza, Egypt.
Dina Mohamed El-Abd
Dalia Ibrahim Ramadan
Mohamed Ibrahim El-Sayed
Bassem Shenoda Guirgis
Mohamed Ali Saber
Hassan Mohamed El-Said Azzazy
Cairo University · EGTheodor Bilharz Research Institute · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAt least six HCV (hepatitis C virus) genotypes are unequally distributed worldwide. HCV genotyping guides the selection of treatment regimens and provides important epidemiological markers that enable the outbreak source to be traced and the spread of disease to be controlled. In Egypt, there is an increasing need for cost-effective, fast, and easily performable HCV genotyping assays.Recently, a multiplex PCR assay was developed to determine HCV genotypes. It employs genotype-specific primers, based on sequences of the entire core region and part of the 5'UTR of the genome.

objectivesIn this study, we compared a simple, new, modified multiplex PCR system for HCV genotyping with a commercially available line probe assay (INNO-LiPA) that is based on reverse hybridization. PATIENTS AND

methodsSerum samples from chronic HCV Egyptian patients (n = 73) were genotyped using the modified multiplex PCR assay, and genotypes were verified using the INNO-LiPA HCV II assay.

resultsThe modified multiplex PCR method was able to type HCV-4 in 65 of 70 typeable samples (92.86%) and had 100% concordance with the INNO-LiPA assay.

conclusionsGenotype 4 was the most prevalent genotype in our study. Based on our results, the modified multiplex nested PCR assay is a sensitive and inexpensive alternative for HCV genotyping and can be used in routine diagnostic laboratories. INNO-LiPA may be useful as a second-line assay for genotyping samples that are indeterminate by multiplex PCR. This approach will effect better treatment optimization and a reduction of the spread of HCV.

Indexed as

AssayBranched DNA Signal AmplificationHepatitis CMultiplex Polymerase Chain Reaction

Identifiers

PMID22690234
PMCPMC3360936
OpenAlexW2125043505

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.