Evidence map›Paper›PMID 33402959›Full record

ArticleAfrican health sciences2020

Detection, quantification and genotype distribution of HCV patients in Lahore, Pakistan by real-time PCR.

Muhammad Umer Khan, Haleema Sadia, Asma Irshad, Atif Amin Baig, Sana Ashiq, Beenish Zahid, Rozeena Sheikh, Sadia Roshan, Azam Ali, Shazia Shamas and 2 more

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Article in African health sciences, 2020. 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
0.6field-weighted citation impact, top 31% 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, 6 citations in OpenAlex.

  1. Article
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  3. Twenty years ofAfrican health sciences · 2020
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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

12 authors at 5 institutions in 1 country.

Muhammad Umer KhanFaculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan.
Haleema SadiaDepartment of Biotechnology, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan.
Asma IrshadDepartment of Life Sciences, University of Management and Technology (UMT) Lahore, Pakistan.
Atif Amin BaigUnit of Biochemistry, Faculty of Medicine, University, Zainal Abidin.
Sana AshiqCenter for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Beenish ZahidDepartment of Pathobiology, KBCMA, CVAS, Narowal sub-campus of University of Veterinary and Animal Sciences, Pakistan.
Rozeena SheikhDepartment of Biotechnology, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan.
Sadia RoshanDepartment of Zoology, University of Gujrat, Pakistan.
Azam AliMolecular Biology and Biotechnology, University of Lahore, Lahore, Pakistan.
Shazia ShamasDepartment of Zoology, University of Gujrat, Pakistan.
Munir Ahmed BhinderDepartment of Human Genetics and Molecular Biology, University of Health Sciences, Lahore, Pakistan.
Rais AhmadDepartment of Microbiology, CUVAS, Cholistan, Pakistan.
Balochistan University of Information Technology, Engineering and Management Sciences · PKUniversity of Gujrat · PKUniversity of Health Sciences Lahore · PKUniversity of Lahore · PKUniversity of the Punjab · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV) is considered as "Viral Time Bomb" suggested by the World Health Organization and if it is not treated timely, it will lead towards cirrhosis and hepatocellular carcinoma (HCC).

objectiveThe purpose of the present research is to study possible risk factors, frequent genotypes of HCV and its association with different age groups.

methodsSuspected blood samples from HCV patients were collected from different hospitals of Lahore, Pakistan. Out of 1000 HCV suspected samples, 920 samples were found HCV positive detected by Anti-HCV ELISA, CobasR. kit. The quantification of HCV load was determined by HCV quantification kit and LINEAR ARRAY KIT (Roche) was used for genotype determination by Real-Time PCR (ABI). Statistical analysis was done by using Microsoft Excel.

resultsOut of 920 subjects, 77 subjects (8.4%) were false positive and they were not detected by nested PCR. Three PCR positive samples were untypeable. Genotype 3 was predominant in Lahore which was 83.5%, whereas type 1 and 2 were 5.1% and 0.7% respectively. There were also mixed genotypes detected, 1 and 3 were 0.4%, 2 and 3 were 1.41% and 3 and 4 were 0.2% only. Male were more infected of HCV in the age <40 years and females >40years.

conclusionThe major risk factor for HCV transmission is by use of unsterilized razors/blades. It is necessary to spread awareness among the general population of Pakistan about HCV transmission risk factors. Regular physical examination at least once a year is recommended, so that early detection of HCV could be done.

Indexed as

AdultAge DistributionCarcinoma, HepatocellularEnzyme-Linked Immunosorbent AssayFemaleGenotypeHepacivirusHepatitis CHumansLiver DiseasesLiver NeoplasmsMaleMiddle AgedPakistanPrevalenceReal-Time Polymerase Chain ReactiongenotypeHepatitis C virushepatocellular carcinomaquantificationreal-time PCR

Identifiers

PMID33402959
PMCPMC7751519
OpenAlexW3091993120

What OpenQuestion holds

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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.