Evidence map›Paper›PMID 42036977›Full record

ArticleTransfusion2026

The risk of transfusion transmissible infection in a civilian walking blood bank using rapid diagnostic tests: A modeling study.

Neil Thivalapill, Zhaohui Geng, Nikathan Kumar, Elizabeth Stoeger, Nobhojit Roy, Bopaya Bidanda, Nakul Raykar

Abstract read
In one paragraph

Article in Transfusion, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

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

7 authors.

Neil ThivalapillDepartment of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-3398-6710
Zhaohui GengDepartment of Industrial and Systems Engineering, Ohio University, Athens, Ohio, USA.
Nikathan KumarProgram in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA.
Elizabeth StoegerBrigham and Women's Hospital, Division of Trauma & Emergency Surgery, Center for Surgery and Public Health, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-6077-4567
Nobhojit RoyThe Blood D.E.S.E.R.T. Coalition, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2022-7416
Bopaya BidandaDepartment of Industrial Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-6239-6800
Nakul RaykarProgram in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCivilian walking blood banks (WBBs) can transfuse fresh whole blood from mobilized donors who are screened using rapid diagnostic testing (RDT) for transfusion transmissible infections (TTIs) to preserve life when banked blood is unavailable. However, concerns regarding TTI risk using an RDT process instead of laboratory-based testing methods persist. We aimed to understand the additional risk of TTI using an RDT-based strategy compared to a laboratory-based strategy with a simulation model and accompanying online tool. STUDY DESIGN AND

methodsWe modeled expected TTIs per 100,000 donations from initial collection to transfusion and infection. Parameters included TTI prevalence, donor risk stratification, efficacy of stratification tools, TTI testing rates, platform test performance, and probability of infection.

resultsA baseline TTI prevalence of 1% (95% confidence interval [CI]: 0.25%, 1.75%) resulted in 56 TTIs (95% CI: 23, 91) when the RDT sensitivity was 90% (95% CI: 88%, 92%), 30 TTIs (95% CI: 12, 52) when the RDT sensitivity was 95% (95% CI: 93%, 97%), and 12 TTIs (95% CI: 4, 23) when the RDT sensitivity was 99% (95% CI: 97, 100%) per 100,000 donations. Compared to lab-based testing, 15,351 donations would need to be made under a high-sensitivity RDT testing strategy in order to incur one additional TTI. DISCUSSION: In a simulated WBB model, modern RDT platforms demonstrated favorable test characteristics, with low absolute rates of TTI, particularly when low-risk donors are selected. These findings support WBB implementation as an emergency transfusion strategy in settings lacking banked blood.

Indexed as

Blood BanksBlood-Borne InfectionsBlood SafetyTransfusion ReactionBlood BankingBlood DonationBlood DonorsBlood TransfusionHumansRapid Diagnostic Testsblood transfusiontransfusion transmitted infectionswalking blood banks

Identifiers

PMID42036977
PMCPMC13350415

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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.