Evidence map›Paper›PMID 21663629›Full record

ArticleVirology journal2011

HCV genotype-specific correlation with serum markers: higher predictability for genotype 4a.

Waqar Ahmad, Bushra Ijaz, Fouzia T Javed, Humera Kausar, Muhammad T Sarwar, Sana Gull, Sultan Asad, Imran Shahid, Sajida Hassan

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Hepatitis C virus in Iran; transmission routes, growth in 3a genotype distribution, and lack of liver marker relation with genotypes.Journal of research in medical sciences : the official journal of Isfahan University of Medical 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

9 authors at 3 institutions in 2 countries.

Waqar AhmadApplied and Functional Genomics Lab, Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Bushra Ijaz
Fouzia T Javed
Humera Kausar
Muhammad T Sarwar
Sana Gull
Sultan Asad
Imran Shahid
Sajida Hassan
Centre of Excellence in Molecular Biology · PKUniversity of the Punjab · PKJinnah Postgraduate Medical Center · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral factors have been proposed to assess the clinical outcome of HCV infection. The correlation of HCV genotypes to possible serum markers in clinical prediction is still controversial. The main objective of this study was to determine the existence of any correlation between HCV genotypes to viral load and different clinical serum markers.

methodsWe performed a prospective cross-sectional and observational study. About 3160 serum HCV RNA positive patients were chosen from 4020 randomly selected anti-HCV positive patients. Statistical analysis was performed using the SPSS 16 software package. ROC (receiver operating characteristics) curves were used to compare diagnostic values of serum markers to predict genotypes.

resultsThe most prevalent genotype was 3a (73.9%) followed by 1a (10.7%), 4a (6.4%) and 3b (6.1%) in Pakistani population. No correlation was found between viral load and serum markers for genotype 3a in a large no. of sample (n = 2336). While significant correlation was observed between viral load and AST in genotype 3b, ALP with viral load and ALT for genotype 1a. Patients with genotype 4a showed a significant inverse correlation with viral load and Hb level and AST with ALP. For genotype 4a, AUC (area under the curve) of ALT, ALP, AST, bilirubin, Hb level and viral load was 0.790, 0.763, 0.454, 0.664, 0.458 and 0.872 respectively.

conclusionsIn conclusion, there was a significant variable response of HCV genotypes with serum markers. Severity of disease is independent of serum marker level in genotype 3a, while the liver damage in genotype 4a may associate with viral cytopathic effect as well as the immune-mediated process. An index using six serum markers may correctly predict genotype 4a in patients with ≥ 75% accuracy.

Indexed as

Viral LoadAdolescentAdultAgedBiomarkersCross-Sectional StudiesFemaleGenotypeHepacivirusHepatitis CHumansLiverMaleMiddle AgedPrognosisProspective StudiesBiomarkers

Identifiers

PMID21663629
PMCPMC3123289
OpenAlexW2161087227

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.