Evidence map›Paper›PMID 16891492›Full record

ArticleJournal of clinical microbiology2006

Multitypic hepatitis C virus infection identified by real-time nucleotide sequencing of minority genotypes.

Andrew J Buckton, Siew-Lin Ngui, Catherine Arnold, Katie Boast, Joanne Kovacs, Paul E Klapper, Bharat Patel, Imad Ibrahim, Savita Rangarajan, Mary E Ramsay and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2006. 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 19% 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, 25 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

11 authors at 4 institutions in 1 country.

Andrew J BucktonCentre for Infections, Health Protection Agency, 61 Colindale Avenue, Colindale, London NW9 5HT, United Kingdom. andrew.buckton@hpa.org.uk
Siew-Lin Ngui
Catherine Arnold
Katie Boast
Joanne Kovacs
Paul E Klapper
Bharat Patel
Imad Ibrahim
Savita Rangarajan
Mary E Ramsay
Chong-Gee Teo
St Thomas' Hospital · GBEaling Hospital · GBMiddlesex University · GBWest Yorkshire Police · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of concurrent multitypic hepatitis C virus (HCV) infection is uncertain. A sensitive and specific approach to identifying minority HCV genotypes in blood is presented. Following serum extraction and reverse transcription PCR to amplify cDNA originating from the viral 5' noncoding region, the amplified product mixture was treated with genotype-specific restriction endonuclease to digest the dominant genotype. Residual amplicons were subjected to PCR cloning and then to real-time DNA sequencing using a Pyrosequencer to identify the remaining genotypes. Dilution experiments showed that minority genotypes may be detected when they represent 1:10,000 of the total population and in serum specimens with viral loads as low as 1,000 IU/ml. Of 37 patients with bleeding disorders and 44 injecting drug users, infection by more than one HCV genotype was found in 7 (19%) and 4 (9%) patients, respectively. The low rate of detection in people at high risk of repeated HCV infection suggests that multitypic HCV carriage is uncommon.

Indexed as

5' Untranslated RegionsAdultAgedBase SequenceBloodBlood Coagulation Disorders, InheritedCloning, MolecularGenotypeHepacivirusHepatitis CHumansMiddle AgedRNA, ViralSensitivity and SpecificitySequence Analysis, DNASubstance Abuse, Intravenous5' Untranslated RegionsRNA, Viral

Identifiers

PMID16891492
PMCPMC1594609
OpenAlexW2167173331

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.