Evidence map›Paper›PMID 33369206›Full record

ArticleMicrobiologyOpen2021

Circulation of an atypical hepatitis C virus (HCV) strain at a dialysis unit in northeast India.

Deepjyoti Kalita, Sangeeta Deka, Kailash Chamuah

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Observational
  2. Review
  3. 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

3 authors.

Deepjyoti KalitaDepartment of Microbiology, All India Institute of Medical Sciences, Rishikesh, India.ORCID 0000-0002-5609-7492
Sangeeta DekaDepartment of Microbiology, All India Institute of Medical Sciences, Rishikesh, India.
Kailash ChamuahDepartment Microbiology, Gauhati Medical College, Guwahati, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients undergoing hemodialysis are at an increased risk of hepatitis C virus (HCV) infection. The implementation of standard infection control measures can substantially decrease the risk of infections and other nosocomial infections. To study the HCV infection rates and genotypes in maintenance hemodialysis subjects in a dialysis unit. A total of 196 maintenance hemodialysis subjects were tested for HCV RNA for one year at a tertiary care teaching hospital in northeast India continuously. Genotyping was performed using direct sequencing (Sanger sequencing) of the 5'UTR-core region. The HCV infection rate was 26.0%. On phylogenetic analysis, 29 sequences clustered around genotype 3 and subtype 3f were observed. High sequence similarities (75-100% homology) were observed among the isolated sequences. High molecular similarities in the isolates from the same dialysis unit with a high infection rate (26.0%) over a relatively short period of study (10 months) indicated an ongoing nosocomial transmission. Nosocomial transmission by subtype 3f is rare, and it has not been reported in dialysis cases previously. The strain is most likely evolving from common strains such as 3b or 3i and may spread due to migration or movement of people. Urgent implementation of adequate infection control measures is required.

Indexed as

AdultAgedCross InfectionCross-Sectional StudiesFemaleGenotypeHepacivirusHepatitis CHumansIndiaInfection ControlMaleMiddle AgedPhylogenyRenal DialysisRNA, ViralRNA, ViraldialysisHCVHCV genotypeshepatitis C infectionmaintenance hemodialysisuncommon genotypes

Identifiers

PMID33369206
PMCPMC7884925

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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.