Evidence map›Paper›PMID 36218235›Full record

ArticleVox sanguinis2022

High false discovery rate of the Architect anti-HCV screening test in blood donors in Uganda and evaluation of an algorithm for confirmatory testing.

Olivia Lucey, Susan Acana, Peter Olupot-Olupot, Rita Muhindo, Ronald Ayikobua, Sophie Uyoga, Dorothy Kyeyune-Byabazaire, Graham Cooke, Kathryn Maitland

Open access · hybridAbstract read
In one paragraph

Article in Vox sanguinis, 2022. 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
1.7field-weighted citation impact, top 15% 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, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Olivia LuceyDepartment of Infectious Disease, Division of Medicine, Imperial College, London, UK.ORCID https://orcid.org/0000-0001-5716-6245
Susan AcanaUgandan Blood Transfusion Service, Kampala, Uganda.
Peter Olupot-OlupotBusitema University Faculty of Health Sciences, Mbale Campus and Mbale Regional Referral Hospital, Mbale, Uganda.
Rita MuhindoBusitema University Faculty of Health Sciences, Mbale Campus and Mbale Regional Referral Hospital, Mbale, Uganda.
Ronald AyikobuaUgandan Blood Transfusion Service, Kampala, Uganda.
Sophie UyogaKilifi County Hospital and Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0003-1746-7873
Dorothy Kyeyune-ByabazaireUgandan Blood Transfusion Service, Kampala, Uganda.
Graham CookeDepartment of Infectious Disease, Division of Medicine, Imperial College, London, UK.
Kathryn MaitlandDepartment of Infectious Disease, Division of Medicine, Imperial College, London, UK.ORCID https://orcid.org/0000-0002-0007-0645
Mbale Hospital · UGUganda Blood Transfusion Service · UGKenya Medical Research Institute · KEImperial College London · GB

Funding

Medical Research Council MR/J012483/1Wellcome TrustWellcome Trust 105603/Z/14/ZWellcome Trust 203077/Z/16/Z
6 · The paper itself

Abstract

BACKGROUND AND

objectivesAdequate supplies of donor blood remain a major challenge in sub-Saharan Africa. This is exacerbated by a lack of confirmatory testing for transfusion-transmitted infections by blood transfusion services (BTS), leading to significant blood disposal owing to putatively high seroprevalence rates amongst Ugandan blood donors. We aimed to ascertain the false discovery rate of the Architect anti-hepatitis C virus (HCV) screening assay and categorize screen-reactive samples into three groups: presumed false positive, active and past infection, and develop an algorithm for confirmatory testing. MATERIALS AND

methodsA total of 470 screen-reactive HCV blood donations were retested using the Architect anti-HCV assay, an alternative antibody test (SD Biosensor) and a core antigen (cAg) test. signal-to cut-off (S/CO) ratios and pre-analytical factors (centrifugation speed, haemolysis check, time between collection and testing) were recorded. Based on the S/CO ratio evaluation, we propose a testing algorithm to guide supplemental tests.

resultsThe false discovery rate of the Architect anti-HCV assay was 0.84 as 395/470 (84%) screen-reactive samples had no evidence of HCV infection (SD Biosensor and cAg negative) (presumed false positive), 38/470 (8.1%) were antigenaemic, and 32/470 (6.8%) had evidence of past infection. The median S/CO ratios of the presumed false-positive and active infection samples were 1.8 and 17.3, respectively. The positive predictive value of HCV positivity in samples with ratios above 12 was 91.8%. On retesting, 104/470 (22.1%) samples became negative.

conclusionThe Architect anti-HCV assay has a very high false discovery rate in Ugandan BTSs, leading to excessive blood disposal. Pre-analytical factors likely contribute to this. An introduction of confirmatory testing using an algorithm based on S/CO ratio evaluation could limit unnecessary blood wastage and donor deferral.

Indexed as

Blood DonorsTransfusion ReactionHepacivirusHepatitis C AntibodiesHumansMass ScreeningSensitivity and SpecificitySeroepidemiologic StudiesHepatitis C Antibodiesblood transfusion servicesdonor bloodfalse positiveHep C virusscreeningtransfusion-transmitted infections

Identifiers

PMID36218235
PMCPMC10092297
OpenAlexW4304187123

What OpenQuestion holds

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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.