Evidence map›Paper›PMID 26509432›Full record

ArticleTransfusion2016

A retrospective analysis of false-positive infectious screening results in blood donors.

Michelle T Vo, Roberta Bruhn, Zhanna Kaidarova, Brian S Custer, Edward L Murphy, Evan M Bloch

Open access · greenAbstract read
In one paragraph

Article in Transfusion, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Michelle T VoSchool of Public Health, University of California at Berkeley, Berkeley, California.
Roberta BruhnBlood Systems Research Institute.ORCID http://orcid.org/0000-0002-5898-8168
Zhanna KaidarovaBlood Systems Research Institute.
Brian S CusterBlood Systems Research Institute.
Edward L MurphyBlood Systems Research Institute.
Evan M BlochBlood Systems Research Institute.
University of California, San Francisco · USBlood Systems Research Institute · USUniversity of California, Berkeley · US

Funding

Health Outcomes in Blood Donors and RecipientsK24HL075036 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MURPHY, EDWARD L · 2004 to 2013
$1.6M
NHLBI NIH HHS K24 HL075036
6 · The paper itself

Abstract

backgroundFalse-positive infectious transfusion screening results remain a challenge with continued loss of both donors and blood products. We sought to identify associations between donor demographic characteristics (age, race, sex, education, first-time donor status) and testing false positive for viruses during routine blood donation screening. In addition the study assessed the prevalence of high-risk behaviors in false-positive donors. STUDY DESIGN AND

methodsBlood Systems, Inc. donors with allogeneic donations between January 1, 2011, and December 31, 2012, were compared in a case-control study. Those with a false-positive donation for one of four viruses (human immunodeficiency virus [HIV], human T-lymphotropic virus [HTLV], hepatitis B virus [HBV], and hepatitis C virus [HCV]) were included as cases. Those with negative test results were controls. For a subset of cases, infectious risk factors were evaluated.

resultsBlack race and Hispanic ethnicity were associated with HCV and HTLV false-positive results. Male sex and lower education were associated with HCV false positivity, and age 25 to 44 was associated with HTLV false positivity. First-time donors were more likely to be HCV false positive although less likely to be HBV and HTLV false positive. No significant associations between donor demographics and HIV false positivity were observed. A questionnaire for false-positive donors showed low levels of high-risk behaviors.

conclusionDemographic associations with HCV and HTLV false-positive results overlap with those of true infection. While true infection is unlikely given current testing algorithms and risk factor evaluation, the findings suggest nonrandom association. Further investigation into biologic mechanisms is warranted.

Indexed as

Blood DonorsVirusesAdolescentAdultAgedAge FactorsBlack or African AmericanDonor SelectionFalse Positive ReactionsFemaleHispanic or LatinoHumansMaleMiddle AgedRetrospective StudiesRisk Factors

Identifiers

PMID26509432
PMCPMC4828031
OpenAlexW1873529754

What OpenQuestion holds

Textmetadata
LicenceTDM
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.