Evidence map›Paper›PMID 30679944›Full record

ArticleISBT science series2016

Algorithms utilizing peripheral blood hematopoietic progenitor cell counts in lieu of some CD34

B W Steussy, M Capper, M D Krasowski, N S Rosenthal, A J Schlueter

Abstract read
In one paragraph

Article in ISBT science series, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Assessment of haematopoietic progenitor cell counting with the SysmexBlood transfusion = Trasfusione del sangue · 2020
    Article
  5. Article
  6. 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

5 authors.

B W SteussyDepartment of Pathology, University of Iowa, Iowa City, IA, USA.
M CapperDepartment of Pathology, University of Iowa, Iowa City, IA, USA.
M D KrasowskiDepartment of Pathology, University of Iowa, Iowa City, IA, USA.
N S RosenthalDepartment of Pathology, University of Iowa, Iowa City, IA, USA.
A J SchlueterDepartment of Pathology, University of Iowa, Iowa City, IA, USA.

Funding

Function and Evolution of the Pregnane X Receptor (PXR)K08GM074238 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KRASOWSKI, MATTHEW D · 2006 to 2009
$509k
NIGMS NIH HHS K08 GM074238
6 · The paper itself

Abstract

BACKGROUND AND

objectivesHematopoietic progenitor cell (HPC) counts from Sysmex hematology analyzers have been shown to correlate with peripheral blood (PB) CD34+ cell counts by flow cytometry. Algorithms utilizing HPC counts to guide stem cell collections have been proposed but rarely tested. This study describes the development and validation of algorithms utilizing HPC and PB CD34+cell counts to predict adequate peripheral blood stem cell (PBSC) collections for chemomobilized and cytokine-mobilized individuals. MATERIALS AND

methodsUtilizing a test set of 83 PB samples from chemomobilized or cytokine-mobilized PBSC collection patients, PB CD34+ counts were correlated with HPC counts and a receiver operating characteristic curve was constructed. Cut-offs of ≤0.5 HPC/μl and ≥7 HPC/μl were established to maximize sensitivity and specificity for using HPC to predict PB CD34+ ≥ 10 cells/μl. These cut-offs were subsequently validated using a separate prospective validation set of 88 HPC/CD34+ cell sample pairs.

resultsUsing the algorithms, all patients in the prospective validation data set achieved adequate collections of ≥1 × 10

conclusionUse of the algorithms provides significant time and cost savings for the laboratory while accurately predicting (i) timing of PBSC collections to obtain adequate CD34

Indexed as

apheresischemomobilizedhematopoietic stem cellplerixaforstem cell transplantationSysmex

Identifiers

PMID30679944
PMCPMC6342496

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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.