Evidence map›Paper›PMID 29096662›Full record

ArticleVirology journal2017

Hepatitis C virus genotypes in Saudi Arabia: a future prediction and laboratory profile.

Amen Bawazir, Fahad AlGusheri, Hoda Jradi, Mohammed AlBalwi, Abdel-Galil Abdel-Gader

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The effectiveness and safety of direct-acting antivirals for hepatitis C virus treatment: A single-center experience in Saudi Arabia.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. 1Biomolecules · 2020
    Article
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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

5 authors at 2 institutions in 1 country.

Amen BawazirThe King Abdullah International Medical Research Center (KAIMRC), Community and environmental Health,College of Public Health & Health Informatics. King Saud Bin Abdulaziz University for Health Sciences, Riyadh, 11481, Saudi Arabia. bawazir56@hotmail.com.
Fahad AlGusheriDivision of Molecular Pathology and Genetics, Department of Pathology and Laboratory Medicine, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
Hoda JradiThe King Abdullah International Medical Research Center (KAIMRC), Community and environmental Health,College of Public Health & Health Informatics. King Saud Bin Abdulaziz University for Health Sciences, Riyadh, 11481, Saudi Arabia.
Mohammed AlBalwiCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, 3660, Riyadh, 11481, Saudi Arabia.
Abdel-Galil Abdel-GaderDepartment of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
King Saud bin Abdulaziz University for Health Sciences · SAKing Abdulaziz Medical City · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV) genotypes and subtypes are considered an important tool for epidemiological and clinical studies and valuable markers for disease progression and response to antiviral therapy. The aim of this study was to identify the prevalence of HCV genotypes and their relation to socio-demographic factors particularly age and sex, various biochemical profiles and viral load.

methodsThe records (630) of Saudi patients positive for HCV (2007-2011) reported in the system of the Molecular Pathology Laboratory at a tertiary reference hospital in Riyadh, Saudi Arabia were analyzed. Socio-demographic characteristics, liver biochemical profile, viral load and co-infection with HBV and HIV were retrieved from the hospital database. The associations of continuous and categorical variables with genotypes were analyzed.

resultThe overall mean age of the surveyed patients was 59 years ±0.5 years (21% were <50 years (p = 0.02). The rate of infection is lower in males than in females (47.6% vs. 52.4%). HCV genotype 4 was the most prevalent (60.7%), followed by genotype 1 (24.8%). However, genotype 1 and 3 were found more in males (29.7% vs. 20.3% and 6% vs. 2.1%, respectively, p = 0.001), while genotype 2 and 4 were more among females (4.8% vs. 2% and 68.5% vs. 52.3%, respectively). In addition, genotype 1 was found dominant in younger males (33.8%). Biochemical parameters across gender showed significant variation in particular for the ALT (p = 0.007). The mean viral load was significantly higher in genotype 1 than genotype 4 (4,757,532 vs. 1,435,012, p = <001). There is a very low overall percentage of co-infection of HBV or HIV in this study (around 2% for each).

conclusionAlthough HCV genotype 4 shows an overall high prevalence in this study, a clear decline in the rate of this genotype was also demonstrated in particular among the younger age group who displayed increasing trends toward the global trend of genotype 1, rather than genotype 4. This finding would be of clinical interest in relation to future planning of the therapy for HCV infected patient.

Indexed as

AdultAgedAge FactorsBiomarkersCohort StudiesCoinfectionDisease ProgressionFemaleGenotypeHepacivirusHepatitis BHepatitis C, ChronicHIV InfectionsHumansLiverMaleBiomarkersBlood donorsGenotypeHepatitis C virusLiver enzymeViral load

Identifiers

PMID29096662
PMCPMC5667522
OpenAlexW2765620536

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.