Evidence map›Paper›PMID 25972903›Full record

ArticleHepatitis monthly2015

Distribution and predominance of genotype 3 in hepatitis C virus carriers in the province of kahramanmaras, Turkey.

Ahmet Caliskan, Ozlem Kirisci, Esra Ozkaya, Sevinc Ozden, Seray Tumer, Serkan Caglar, Selma Ates Guler, Hande Senol

Open access · hybridAbstract read
In one paragraph

Article in Hepatitis monthly, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 27 citations in OpenAlex.

  1. Healthcare-Related HCV Genotype 4d Infections in Kayseri, Turkey.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2022
    Article
  2. Article
  3. Changes on Hepatitis C virus genotype distribution in Western Turkey: Evaluation of twelve-year data.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2020
    Article
  4. Review
  5. Review
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

8 authors at 3 institutions in 1 country.

Ahmet CaliskanDepartment of Medical Microbiology, Necip Fazil City Hospital, Kahramanmaras, Turkey.
Ozlem KirisciDepartment of Medical Microbiology, Necip Fazil City Hospital, Kahramanmaras, Turkey.
Esra OzkayaDepartment of Medical Microbiology, Necip Fazil City Hospital, Kahramanmaras, Turkey.
Sevinc OzdenDepartment of Medical Microbiology, Necip Fazil City Hospital, Kahramanmaras, Turkey.
Seray TumerDepartment of Medical Microbiology, Necip Fazil City Hospital, Kahramanmaras, Turkey.
Serkan CaglarDepartment of Medical Biohemistry, Necip Fazıl City Hospital, Kahramanmaras, Turkey.
Selma Ates GulerDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Sutcu Imam University, Kahramanmaras, Turkey.
Hande SenolDepartment of Biostatistics, Faculty of Medicine, Pamukkale University, Denizli, Turkey.
Şanlıurfa Mehmet Akif İnan Eğitim ve Araştırma Hastanesi · TRKahramanmaraş Sütçü İmam University · TRPamukkale University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hepatitis C virus (HCV) has six major genotypes and more than 100 subtypes, and the determination of the responsible genotype, collection of epidemiological data, tailoring antiviral therapy, and prediction of prognosis have an important place in disease management.

objectivesThe aim of the present study was to determine the distribution of HCV genotypes across geographic regions and compare these data with those obtained from other geographic locations. PATIENTS AND

methodsThe HCV genotypes were identified in HCV RNA positive blood samples, obtained from different centers. The HCV genotype was determined using molecular methods [Real-Time Polymerase Chain Reaction (RT-PCR)] in 313 patients, who were found to be positive for HCV RNA. The presence of HCV RNA was investigated using the RT-PCR method in serum samples delivered to the Microbiology Laboratory at Kahramanmaras Necip Fazıl City Hospital, Kahramanmaras, Turkey, from the centers located in Kahramanmaras City center and peripheral districts of the province, between March 2010 and August 2014. The HCV genotype analysis was performed in HCV RNA positive samples, using RT-PCR reagents kit. Urine samples from the patients were tested for amphetamine with an Amphetamines II (AMPS2) kit, cocaine was tested with a Cocaine II (COC2) kit, opiates were tested with an Opiates II (OPI2) kit, and cannabinoids were tested with a Cannabinoids II (THC2) kit in Roche/Hitachi Cobas c501 device.

resultsThe blood samples collected from 313 patients were included in the study. Of these patients, 212 (67.7%) were male and 101 (32.3%) were female. The mean age of the patients was 41.29 ± 20.32 years. In terms of HCV genotype distribution, 162 patients (51.7%) had genotype 1, 144 patients (46%) had genotype 3, four patients (1.3%) had genotype 2, and three patients (1%) had genotype 4. The results of urine drug tests were available in only 65 patients (20.2%). Of these, 61 (93.8%) patients had HCV genotype 3.

conclusionsIn conclusion, the prevalence of HCV genotype 1 was 51.7%, which was lower than the rates reported in other studies in Turkey, while the prevalence of HCV genotype 3 was 46%, which was remarkably higher than the reported Turkish data. In addition, the prevalence rate for genotype 3 reported in the present study is the highest that has ever been reported in the literature.

Indexed as

GenotypeHepatitis CReal-Time Polymerase Chain ReactionTurkey

Identifiers

PMID25972903
PMCPMC4426333
OpenAlexW1970823310

What OpenQuestion holds

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LicenceCC BY-NC
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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.