Evidence map›Paper›PMID 40190532›Full record

ArticleAfrican health sciences2024

Recent updates on molecular epidemiology of hepatitis C virus in Gujranwala, Pakistan.

Bacha Syed Yousuf Shah, Khan Muhammad Umer, Zulfiqar Aymn, Zahid Tazeen, Ghani Muhammad Usman, Amin Iram, Shahid Muhammad, Munir Rakhtasha, Younas Saima, Vajeeha Ayesha

Abstract read
In one paragraph

Article in African health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Bacha Syed Yousuf ShahInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Khan Muhammad UmerInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Zulfiqar AymnInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Zahid TazeenInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Ghani Muhammad UsmanCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Amin IramCentre of Excellence in Molecular Biology (CEMB), University of the Punjab, Lahore-Pakistan.
Shahid MuhammadCentre of Excellence in Molecular Biology (CEMB), University of the Punjab, Lahore-Pakistan.
Munir RakhtashaCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Younas SaimaCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Vajeeha AyeshaCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatitis C infection (HCV) remains a leading cause of liver cirrhosis, posing a critical health threat worldwide. Objective: This research aimed to provide a contemporary overview of HCV infection and its genotypic distribution in Gujranwala, Punjab, Pakistan. Additionally, it sought to explore the interrelation between HCV genotypes and associated risk factors among individuals infected with HCV. Method: To examine the prevalence of antibodies against HCV, blood samples were collected from 1004 patients and tested using an immunochromatographic test (ICT). Positive ICT samples were subsequently confirmed through a chemiluminescence technique and then subjected to amplification and genotyping. Results: The study revealed that females (54.68%) were more affected by HCV than males (45.32%). Notably, the highest incidence of HCV infection (27%) was observed in the 50-59 age group. Among HCV RNA-positive patients, genotype 3a predominated, accounting for 71.81% of cases. High rate of untypable genotypes was also detected (20.82%), along with mixed (3.29%), 1a (2.09%), 1b (0.79%), 2b (0.70%), and 3b (0.50%). Conclusion: The study highlights the prevalence of genotype 3a as the most common HCV genotype in the sampled population. This information is crucial for informing public health interventions and further research in the field of HCV infection.

Indexed as

HepacivirusHepatitis CAdolescentAdultAgedFemaleGenotypeHepatitis C AntibodiesHumansIncidenceMaleMiddle AgedMolecular EpidemiologyPakistanPrevalenceRisk FactorsHepatitis C AntibodiesRNA, ViralgenotypesHepatitis C Virusmolecular epidemiology

Identifiers

PMID40190532
PMCPMC11970147

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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.