Evidence map›Paper›PMID 21235746›Full record

ArticleVirology journal2011

Hepatitis C virus genotypes circulating in district Swat of Khyber Pakhtoonkhaw, Pakistan.

Inamullah, Muhammad Idrees, Habib Ahmed, Sajid-ul-ghafoor, Muhammad Ali, Liaqat Ali, Aziz Ahmed

Abstract 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 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

InamullahNational Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Muhammad Idrees
Habib Ahmed
Sajid-ul-ghafoor
Muhammad Ali
Liaqat Ali
Aziz Ahmed

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) is the leading cause of chronic hepatitis worldwide and its subtypes/genotypes are clinically important for clinical management and vaccine development. The present study describes frequency distribution of different HCV genotypes and their treatment status in HCV RNA positive patients from district Swat. A total of 185 HCV infected sera were analyzed by molecular genotyping assay. The most prevalent genotype was 3a (34.1%), followed by 2a (8.1%), 3b (7%) and 1a (5.4%). The samples found untypable by the present method of genotypes was 37.8% while, patients with mixed genotype infections were 7.6%. More than 80% of untypable cases were from those HCV patients who had received interferon plus ribavirin standard therapy in the past and either were non-responders and were relapsed thereafter or were under treatment. In conclusion, genotype 3a is the most prevalent HCV genotype in the region. A high prevalence rate of untypable genotypes is present in treated patients that need further investigation for the successful genotyping by developing new assays or using viral sequencing method.

Indexed as

AdolescentAdultAgedAged, 80 and overAntiviral AgentsChildFemaleGenotypeHepacivirusHepatitis CHumansInterferonsMaleMiddle AgedPakistanPrevalenceAntiviral AgentsInterferonsRibavirinRNA, Viral

Identifiers

PMID21235746
PMCPMC3027131

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.