Evidence map›Paper›PMID 33202065›Full record

ArticleTransfusion2021

Residual red cells in blood components: A multisite study of fully automated enumeration using a hematology analyzer.

Chloe Cavagnetto, Richard Alejo Blanco, Hollie McKenna, Laura Willmott, Elif Aydogdu, Nicola Akinyemi, Helena Standring, Simon Procter, Johan W Lagerberg, Elin Johansson and 7 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Transfusion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

17 authors.

Chloe CavagnettoComponent Development Laboratory, NHS Blood and Transplant, Cambridge, UK.
Richard Alejo BlancoComponent Development Laboratory, NHS Blood and Transplant, Cambridge, UK.ORCID 0000-0001-5162-7696
Hollie McKennaClinical Services, NHS Blood and Transplant, UK.
Laura WillmottComponent Development Laboratory, NHS Blood and Transplant, Cambridge, UK.
Elif AydogduManufacturing and Product Development, NHS Blood and Transplant, UK.
Nicola AkinyemiManufacturing and Product Development, NHS Blood and Transplant, UK.
Helena StandringManufacturing and Product Development, NHS Blood and Transplant, UK.
Simon ProcterManufacturing and Product Development, NHS Blood and Transplant, UK.
Johan W LagerbergProduct and Process Development, Sanquin Blood Bank, Amsterdam, Netherlands.
Elin JohanssonIrish Blood Transfusion Service, Dublin, Ireland.
Harry CroxonIrish Blood Transfusion Service, Dublin, Ireland.
Dirk de KorteProduct and Process Development, Sanquin Blood Bank, Amsterdam, Netherlands.
Stephen F GarnerComponent Development Laboratory, NHS Blood and Transplant, Cambridge, UK.
Atsushi ShirakamiScientific Affairs, Sysmex Corporation, Kobe, Japan.
Jarob SakerScientific Affairs, Sysmex Corporation, Kobe, Japan.
Joachim LinssenScientific Affairs, Sysmex Corporation, Kobe, Japan.
Rebecca CardiganComponent Development Laboratory, NHS Blood and Transplant, Cambridge, UK.

Funding

NHS Blood and TransplantSysmex Corporation
6 · The paper itself

Abstract

backgroundManufacture of platelet concentrates (PCs) and plasma may fail to remove all residual red blood cells (rRBCs). Measuring rRBCs for compliance to guidelines has proven challenging, leading to an absence of a consensus methodology. Sysmex hematology analyzers with the Blood Bank mode (BB mode) analysis option offer the potential for automated rRBC counting. We therefore performed a two-site appraisal of the system. STUDY DESIGN AND

methodsPerformance characteristics were determined using platelet and plasma samples spiked with RBCs. Sample stability (n = 47) and the impact of sample type were also assessed. Components (platelets, n = 1474; plasma, n = 77) prepared using different routine manufacturing methods were tested to assess variation in rRBC concentration.

resultsLinearity studies up to 19 000 RBCs/μL demonstrated good correlation between expected and observed results (R

conclusionThe BB mode had acceptable performance characteristics and has the potential for integration into a fully automated process control system for rRBC enumeration in plasma and PCs.

Indexed as

Blood Component TransfusionErythrocytesAnticoagulantsAutomationBlood Buffy CoatBlood Cell CountBlood Component RemovalEdetic AcidErythrocyte CountFlow CytometryHumansAnticoagulantsEdetic Acidblood componentshaematology analyserresidual red cells

Identifiers

PMID33202065
PMCPMC7894184

What OpenQuestion holds

Textmetadata
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.