Evidence map›Paper›PMID 24755089›Full record

ArticleBMC infectious diseases2014

Prevalence and trends of markers of hepatitis B virus, hepatitis C virus and human Immunodeficiency virus in Argentine blood donors.

Diego M Flichman, Jorgelina L Blejer, Beatriz I Livellara, Viviana E Re, Sonia Bartoli, Juan A Bustos, Claudia P Ansola, Susana Hidalgo, Martin E Cerda, Alicia E Levin and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Prevalence of hepatitis C virus infection according to the year of birth: identification of risk groups.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    Article
  8. Article
  9. Article
  10. Seroepidemiological Study of Hepatitis B, C and HIV among Blood Donors in KermanAsian Pacific journal of cancer prevention : APJCP · 2017
    Article
  11. Review
  12. Article
  13. Article
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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

18 authors at 8 institutions in 1 country.

Diego M FlichmanUniversidad de Buenos Aires, Cátedra de Virología, Buenos Aires, Argentina. dflichman@ffyb.uba.ar.
Jorgelina L Blejer
Beatriz I Livellara
Viviana E Re
Sonia Bartoli
Juan A Bustos
Claudia P Ansola
Susana Hidalgo
Martin E Cerda
Alicia E Levin
Adriana Huenul
Victoria Riboldi
Elena M C Treviño
Horacio J Salamone
Felix A Nuñez
Robert J Fernández
Juan F Reybaud
Rodolfo H Campos
Centro Científico Tecnológico - Mendoza · ARFundación para la Investigación, Docencia y Prevención del Cáncer · ARHospital Italiano de Buenos Aires · ARUniversidad Nacional de Córdoba · ARUniversity of Buenos Aires · ARAtmospheric Observatory of Austral Patagonia · ARCentral Bank of Argentina · ARNational University of Jujuy · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransfusion-transmitted infections are a major problem associated with blood transfusion. The aim of this study was to determine prevalence and trends of HBV, HCV and HIV in blood donors in Argentina.

methodsA retrospective study was carried out in blood donors of 27 transfusion centers covering the whole country over a period of eight years (2004-2011). Serologic screening assays for HBsAg, anti-HBc, anti-HCV, and anti-HIV were performed in all centers and nucleic acid amplification testing (NAT) was performed in 2 out of the 27 centers.

resultsThe 2,595,852 samples tested nationwide from 2004 to 2011 showed that the prevalence of HBsAg decreased from 0.336% to 0.198% (p < 0.0001), that of anti-HBc from 2.391% to 2.007% (p < 0.0001), that of anti-HCV from 0.721% to 0.460%, (p < 0.0001) and that of anti-HIV from 0.208% to 0.200 (p = 0.075). The prevalence of HBV, HCV and HIV was unevenly distributed among the different regions of the country. Two out of 74,838 screening- negative samples were positive in NAT assays (1 HIV-RNA and 1 HCV-RNA); moreover, HBV-DNA, HCV-RNA and HIV-RNA were detected in 60.29, 24.54 and 66.67% of screening-positive samples of the corresponding assays. As regards donors age, positive HBV-DNA and HCV-RNA donors were significantly older than healthy donors (46.6, 50.5 and 39.5 y respectively, p < 0.001).

conclusionsArgentina has a low prevalence of HBsAg, anti-HCV and anti-HIV in blood donors, with a decreasing trend for HBsAg, anti-HBc and anti-HCV but not for anti-HIV over the last 8 years. The uneven distribution of transfusion-transmitted infections prevalence among the different regions of the country highlights the need to implement regional awareness campaigns and prevention. The discrepancy between samples testing positive for screening assays and negative for NAT assays highlights the problem of blood donors who test repeatedly reactive in screening assays but are not confirmed as positive upon further testing. The uneven distribution of age between healthy donors and NAT-positive donors could be related to changes in risks of these pathogens in the general population and might be attributed to a longer exposure to transmission risk factors in elderly people.

Indexed as

AdultAntibodies, ViralArgentinaBlood DonorsFemaleHepacivirusHepatitis BHepatitis B Surface AntigensHepatitis B virusHepatitis CHepatitis C AntibodiesHIVHIV InfectionsHumansMaleMiddle AgedAntibodies, ViralHepatitis B Surface AntigensHepatitis C Antibodies

Identifiers

PMID24755089
PMCPMC4018657
OpenAlexW2097687666

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.