Evidence map›Paper›PMID 30159373›Full record

ArticleVirusdisease2018

Molecular characterization and clinical epidemiology of HCV in District Dir (Lower), Pakistan.

Sami Ullah, Muhammad Akram Khan, Shafiq Ur Rahman, Imran Khan, Fazal Akbar, Anshu Babbar

Open access · bronzeAbstract read
In one paragraph

Article in Virusdisease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 5 institutions in 2 countries.

Sami Ullah1Department of Biotechnology, Shaheed Benazir Bhutto University, Dir Upper, Pakistan.
Muhammad Akram Khan2Institute for Pathology, PMAS Arid Agriculture University, Rawalpindi, Pakistan.
Shafiq Ur Rahman3Department of Pharmacy, Shaheed Benazir Bhutto University, Dir Upper, Pakistan.
Imran Khan4Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany.
Fazal Akbar5Center for Biotechnology and Microbiology, University of Swat, Mingora, Pakistan.
Anshu Babbar6Helmholtz Center for Infection Research, Brunswick, Germany.
Shaheed Benazir Bhutto University · PKHeinrich Heine University Düsseldorf · DEHelmholtz Centre for Infection Research · DEPir Mehr Ali Shah Arid Agriculture University · PKUniversity of Swat · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With about 200 million infections globally, Hepatitis C virus (HCV) infection is a major global health threat. The relative prevalence of hepatitis and HCV genotypes/subtypes varies among different geographic regions. Therefore, the present study was conducted to determine the prevalence of hepatitis C and HCV genotypes/subtypes in District Dir (Lower), Pakistan. Blood samples from HCV positive patients were genotyped through multiplex PCR using specific primers for HCV core region. A structured questionnaire was used to obtain information from the patients and data was statistically analyzed for different epidemiological parameters. The molecular evaluation results suggested the prevalence of genotype 3 in this study. The frequency of hepatitis C was found higher in males (

Indexed as

EpidemiologyGenotypingHCVLiver cancerPrevalence

Identifiers

PMID30159373
PMCPMC6111948
OpenAlexW2803519436

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.