Evidence map›Paper›PMID 30806444›Full record

ReviewJornal brasileiro de nefrologia

Hepatitis C in Hemodialysis Units: diagnosis and therapeutic approach.

Natasha Silva Constancio, Maria Lucia Gomes Ferraz, Carmen Tzanno Branco Martins, Angiolina Campos Kraychete, Paulo Lisboa Bitencourt, Marcelo Mazza do Nascimento

Open access · diamondAbstract readReview
In one paragraph

Review in Jornal brasileiro de nefrologia. 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
1.4field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Brazilian dialysis survey 2019.Jornal brasileiro de nefrologia
    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

6 authors at 2 institutions in 1 country.

Natasha Silva ConstancioAssociação Renal Vida Rio do Sul, Rio do Sul, SC, Brasil.ORCID https://orcid.org/0000-0002-9602-4247
Maria Lucia Gomes FerrazUniversidade Federal de São Paulo, São Paulo, SP, Brasil.
Carmen Tzanno Branco MartinsSociedade Brasileira de Nefrologia, São Paulo, SP, Brasil.
Angiolina Campos KraycheteSociedade Brasileira de Nefrologia, São Paulo, SP, Brasil.
Paulo Lisboa BitencourtSociedade Brasileira de Hepatologia, São Paulo, SP, Brasil.
Marcelo Mazza do NascimentoUniversidade Federal do Paraná, Curitiba, PR, Brasil.
Sociedade de Nefrologia do Estado de São Paulo · BRSociedade Brasileira de Cardiologia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to data from the last census of the Brazilian Society of Nephrology (SBN), the prevalence of hepatitis C virus (HCV) in Brazilian hemodialysis units (HU) is 3.3%, about three times higher than what is reported for the Brazilian general population. Often, professionals working in HU are faced with clinical situations that require rapid HCV diagnosis in order to avoid horizontal transmission within the units. On the other hand, thanks to the development of new antiviral drugs, the cure of patients with HCV, both in the general population and in patients with chronic kidney disease and the disease eradication, appear to be very feasible objectives to be achieved in the near future . In this scenario, SBN and the Brazilian Society of Hepatology present in this review article a proposal to approach HCV within HUs.

Indexed as

Antiviral AgentsBrazilCross InfectionDisease Transmission, InfectiousGlomerular Filtration RateHepacivirusHepatitis CHumansNephrologyPrevalenceRenal DialysisRenal Insufficiency, ChronicRNA VirusesSocieties, ScientificAntiviral Agents

Identifiers

PMID30806444
PMCPMC6979573
OpenAlexW2911833730

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.