Evidence map›Paper›PMID 29346441›Full record

ArticlePloS one2018

A portable system for processing donated whole blood into high quality components without centrifugation.

Sean C Gifford, Briony C Strachan, Hui Xia, Eszter Vörös, Kian Torabian, Taylor A Tomasino, Gary D Griffin, Benjamin Lichtiger, Fleur M Aung, Sergey S Shevkoplyas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

12 citing papers in PubMed, 26 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

10 authors at 3 institutions in 1 country.

Sean C GiffordHalcyon Biomedical Incorporated, Friendswood, Texas, United States of America.
Briony C StrachanDepartment of Biomedical Engineering, University of Houston, Houston, Texas, United States of America.
Hui XiaDepartment of Biomedical Engineering, University of Houston, Houston, Texas, United States of America.
Eszter VörösDepartment of Biomedical Engineering, University of Houston, Houston, Texas, United States of America.
Kian TorabianDepartment of Biomedical Engineering, University of Houston, Houston, Texas, United States of America.
Taylor A TomasinoDepartment of Biomedical Engineering, University of Houston, Houston, Texas, United States of America.
Gary D GriffinDepartment of Laboratory Medicine, Section of Transfusion Medicine / Blood Donor Center, MD Anderson Cancer Center, Houston, Texas, United States of America.
Benjamin LichtigerDepartment of Laboratory Medicine, Section of Transfusion Medicine / Blood Donor Center, MD Anderson Cancer Center, Houston, Texas, United States of America.
Fleur M AungDepartment of Laboratory Medicine, Section of Transfusion Medicine / Blood Donor Center, MD Anderson Cancer Center, Houston, Texas, United States of America.
Sergey S ShevkoplyasDepartment of Biomedical Engineering, University of Houston, Houston, Texas, United States of America.ORCID 0000-0002-8203-8365
University of Houston · USThe University of Texas MD Anderson Cancer Center · USHalcyon Biomedical (United States) · US

Funding

Eliminating Mediators of Toxicity from Stored BloodR01HL117329 · NHLBI · UNIVERSITY OF HOUSTON · PI SHEVKOPLYAS, SERGEY S · 2012 to 2017
$1.9M
CLC NIH HHS C0000008NHLBI NIH HHS R01 HL117329NIH HHS R01HL117329
6 · The paper itself

Abstract

backgroundThe use of centrifugation-based approaches for processing donated blood into components is routine in the industrialized world, as disparate storage conditions require the rapid separation of 'whole blood' into distinct red blood cell (RBC), platelet, and plasma products. However, the logistical complications and potential cellular damage associated with centrifugation/apheresis manufacturing of blood products are well documented. The objective of this study was to evaluate a proof-of-concept system for whole blood processing, which does not employ electromechanical parts, is easily portable, and can be operated immediately after donation with minimal human labor. METHODS AND

findingsIn a split-unit study (n = 6), full (~500mL) units of freshly-donated whole blood were divided, with one half processed by conventional centrifugation techniques and the other with the new blood separation system. Each of these processes took 2-3 hours to complete and were performed in parallel. Blood products generated by the two approaches were compared using an extensive panel of cellular and plasma quality metrics. Comparison of nearly all RBC parameters showed no significant differences between the two approaches, although the portable system generated RBC units with a slight but statistically significant improvement in 2,3-diphosphoglyceric acid concentration (p < 0.05). More notably, several markers of platelet damage were significantly and meaningfully higher in products generated with conventional centrifugation: the increase in platelet activation (assessed via P-selectin expression in platelets before and after blood processing) was nearly 4-fold higher for platelet units produced via centrifugation, and the release of pro-inflammatory mediators (soluble CD40-ligand, thromboxane B2) was significantly higher for centrifuged platelets as well (p < 0.01).

conclusionThis study demonstrated that a simple, passive system for separating donated blood into components may be a viable alternative to centrifugation-particularly for applications in remote or resource-limited settings, or for patients requiring highly functional platelet product.

Indexed as

BloodBlood DonorsSpecimen HandlingCentrifugationHumans

Identifiers

PMID29346441
PMCPMC5773086
OpenAlexW2789929539

What OpenQuestion holds

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LicenceCC BY
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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.