Evidence map›Paper›PMID 24678171›Full record

ArticleAsian journal of transfusion science2014

Hepatitis C virus genotypes among multiply transfused hemoglobinopathy patients from Northern Iraq.

Adil A Othman, Adil A Eissa, Raji D Markous, Bayram D Ahmed, Nasir A S Al-Allawi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Asian journal of transfusion science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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.

Adil A OthmanDepartment of Biology, Faculty of Science, University of Zakho, Duhok, Iraq.
Adil A EissaScientific Research Centre, Faculty of Medical Sciences, University of Duhok, Duhok, Iraq.
Raji D MarkousInherited Blood Diseases Centre, Central Public Health Laboratory, Duhok, Iraq.
Bayram D AhmedPCR Unit, Central Public Health Laboratory, Duhok, Iraq.
Nasir A S Al-AllawiScientific Research Centre, Faculty of Medical Sciences, University of Duhok, Duhok, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimOwing to the scarcity of data on hepatitis C virus (HCV) genotypes in Iraq and due to their epidemiological as well as therapy implications, this study was initiated aiming at determining these genotypes in Northern Iraq. MATERIALS AND

methodsA total of 70 HCV antibody positive multi transfused patients with hemoglobinopathies, who had detectable HCV ribonucleic acid, were recruited for genotyping using genotype-specific nested polymerase chain reaction.

resultsThe most frequent genotype detected was genotype 4 (52.9%) followed by 3a (17.1%), 1b (12.9%) and 1a (1.4%), while mixed genotypes (4 with either 3a or 1b) were detected in 7.1%.

conclusionThe predominance of genotype 4 is similar to other studies from surrounding Eastern Mediterranean Arab countries and to the only earlier study from central Iraq, however the significant high proportion of 3a and scarcity of 1a, are in contrast to the latter study and may be explainable by the differing population interactions in this part of Iraq. This study complements previous studies from Eastern Mediterranean region and demonstrates relative heterogeneity of HCV genotype distribution within Iraq and should trigger further studies in other parts of the country.

Indexed as

Genotype 4genotypinghepatitis C virusIraq

Identifiers

PMID24678171
PMCPMC3943142

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.