Evidence map›Paper›PMID 30390638›Full record

ArticleBMC nephrology2018

A very high prevalence of hepatitis C virus infection among patients undergoing hemodialysis in Kosovo: a nationwide study.

Xhevat Jakupi, Jana Mlakar, Maja M Lunar, Katja Seme, Ibrahim Rudhani, Lul Raka, Adriana Vince, Mario Poljak

Abstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. 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

8 authors.

Xhevat JakupiDepartment of Microbiology, Kosovo National Institute of Public Health, Rrethi i Spitalit, p.n, 10000, Prishtina, Kosovo.
Jana MlakarInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška 4, 1000, Ljubljana, Slovenia.
Maja M LunarInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška 4, 1000, Ljubljana, Slovenia.
Katja SemeInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška 4, 1000, Ljubljana, Slovenia.
Ibrahim RudhaniClinic for Nephrology, University Medical Center of Kosovo, Bulevardi i Dëshmorëve, p.n, 10000, Prishtina, Kosovo.
Lul RakaFaculty of Medicine, Hasan Prishtina University of Prishtina, Bulevardi i Dëshmorëve, p.n, 10000, Prishtina, Kosovo.
Adriana VinceDr Fran Mihaljević University Hospital for Infectious Diseases, Mirogojska 8, 10000, Zagreb, Croatia.
Mario PoljakInstitute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška 4, 1000, Ljubljana, Slovenia. mario.poljak@mf.uni-lj.si.ORCID 0000-0002-3216-7564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients on hemodialysis are at high risk for hepatitis C virus (HCV) infection if measures for effective control of HCV infection in the hemodialysis environment are not implemented. Whereas in developed countries isolated small-scale outbreaks of HCV in hemodialysis units are occasionally reported, HCV transmission in the hemodialysis environment still represents a substantial problem in low-resource countries. This study systematically assessed the prevalence of HCV infection among all patients at all hemodialysis centers in Kosovo, determined the HCV genotype distribution, and reviewed the main risk factors associated with HCV infection in this group of patients.

methodsFrom January to March 2013, blood samples from all patients undergoing hemodialysis at all seven hemodialysis centers in Kosovo were collected. The samples were screened for the presence of anti-HCV antibodies, and seropositive samples were also tested for HCV RNA. Genotyping was performed by sequencing the core region of the HCV genome. Subsequently, face-to-face interviews were conducted with consented patients attending hemodialysis in December 2015 and with the management of all hemodialysis centers in Kosovo.

resultsThe overall seroprevalence of HCV infection among hemodialysis patients in Kosovo was 53.0% (354/668), ranging from 22.3 to 91.1% at different centers. HCV RNA was detected in 323/354 (91.2%) seropositive patients. The most frequent HCV genotype was genotype 1a (62.2%), followed by genotypes 4d (33.1%), 1b (4.0%), and 2c (0.7%). The duration of hemodialysis and receiving dialysis at more than one center were identified as independent significant predictors of anti-HCV positivity. Shortage of staff, lack of resources, and inconsistent use of hygienic precautions and/or isolation strategies were observed.

conclusionsThe prevalence of HCV infection among hemodialysis patients in Kosovo is extremely high. The relatively low prevalence of HCV infection in the general population, predominance of two otherwise rare HCV genotypes among hemodialysis patients, and longer history of hemodialysis as a predictor of HCV infection all indicate nosocomial transmission due to inappropriate infection control practices as the main transmission route.

Indexed as

AdultAgedCohort StudiesFemaleHepacivirusHepatitis CHumansKidney Failure, ChronicKosovoMaleMiddle AgedPrevalenceRenal DialysisHemodialysisHepatitis C virusInfectionInfection controlKosovo

Identifiers

PMID30390638
PMCPMC6215601

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.