Evidence map›Paper›PMID 41069171›Full record

ArticleTransfusion2025

How do I interpret transfusion transmissible infectious disease testing in a low-risk donor population?

Carmen L Charlton, Mark Bigham, Sheila F O'Brien, Steven J Drews

Abstract readCase Reports
In one paragraph

Article in Transfusion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Carmen L CharltonMicrobiology, Donation Policy & Studies, Canadian Blood Services, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0002-9129-5136
Mark BighamCanadian Blood Services, Vancouver, British Columbia, Canada.
Sheila F O'BrienEpidemiology and Surveillance, Donation Policy & Studies, Canadian Blood Services, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0002-5332-2789
Steven J DrewsMicrobiology, Donation Policy & Studies, Canadian Blood Services, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0003-2519-1109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood donors represent a unique population. Pre-donation screening questions, donor self-deferral, and temporary deferral and re-testing of repeat reactive donors result in lower prevalence of infectious disease compared to the general population. Prevalence directly affects the clinical performance of assay systems apart from the analytical sensitivity and specificity of the assay. STUDY DESIGN AND

methodsIt is important that blood operators understand what situations frequently elicit false reactive and false nonreactive cases, and how to mitigate the effect of these.

resultsFalse reactive transmissible disease assays are seen more frequently in low-prevalence populations due to a reduced positive predictive value, whereas false nonreactives may be derived from failures in quality control (control failures, temperature and humidity deviations), pathophysiology in the donor, or how specimens are processed and tested (e.g., pooling). Reactive screening results require confirmation testing to differentiate between true infection and false reactive interpretation, and result in either temporary or permanent donor deferral (for false reactive or confirmed screens respectively). Complete validation or verification of laboratory assays can mitigate these donor impacts and help laboratorians understand how assays function in their local environments. DISCUSSION: Here we describe how blood donor screening assays are characterized prior to use, explore possible contributors to false reactive and nonreactive results, and the importance of tracking and monitoring infectious disease positivity rates. Two case examples: one for serology and one for molecular testing demonstrate how common errors in laboratory testing can be mitigated.

Indexed as

Blood-Borne InfectionsBlood DonorsDonor SelectionTransfusion ReactionFalse Positive ReactionsHumanslaboratory testingtesting in low prevalence populationstransfusion transmittable diseasevalidationverification

Identifiers

PMID41069171
PMCPMC12704700

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.