Evidence map›Paper›PMID 42023684›Full record

ArticleTransfusion2026

Intra-apheresis CD34+ cell count: A dynamic approach to predicting peripheral blood stem cell collection yield.

Abdullah Alswied, Linda Song, Mame Thioye-Sall, Leonard N Chen, Kamille West-Mitchell, Nan Zhang, Ping Jin, David Stroncek, Anh Dinh

Abstract read
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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.

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

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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

0 citing papers in PubMed.

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

9 authors.

Abdullah AlswiedDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0002-0815-3170
Linda SongDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Mame Thioye-SallDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Leonard N ChenDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Kamille West-MitchellDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-8152-804X
Nan ZhangDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
Ping JinDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.
David StroncekDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-5867-3265
Anh DinhDepartment of Transfusion Medicine and Center for Cellular Engineering, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0009-0002-9715-7743

Funding

NIH Clinical Center
6 · The paper itself

Abstract

backgroundAccurate prediction of peripheral blood stem cell (PBSC) yield is essential for optimizing hematopoietic stem cell collections. Traditional CD34+ prediction formulas often overlook the ongoing recruitment of CD34+ cells during the collection procedure. This study evaluated whether a single intra-apheresis CD34+ measurement could improve yield prediction compared to existing prediction models.

methodsWe retrospectively analyzed 150 PBSC collections from 123 autologous and allogenic donors. A single intraprocedural CD34

resultsIntra-apheresis CD34 DISCUSSION: A single intra-apheresis CD34+ measurement, particularly at or beyond 1.20 processed blood volumes, offers a reliable, real-time predictor of final PBSC yield. This intraprocedural approach outperforms published pre-apheresis formulas, enabling more efficient collection and reduced donor burden across diverse clinical scenarios.

Indexed as

Antigens, CD34Blood Component RemovalPeripheral Blood Stem CellsAdultFemaleHumansMaleMiddle AgedRetrospective StudiesAntigens, CD34CD34+ cell countcollection efficiencyhematopoietic progenitor cell apheresisintra‐apheresis monitoringperipheral blood stem cell collectionpredictive model

Identifiers

PMID42023684
PMCPMC13350550

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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.