Evidence map›Paper›PMID 31741619›Full record

ArticleIndian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion2019

Flow Cytometric Evaluation of Traditional and Novel Surface Markers for the Diagnosis of Plasma Cell Dyscrasias.

Dominik F Draxler, Lisa M Wutzlhofer, Georg Slavka, Wolfgang Hübl, Heinz Ludwig, Martin Schreder, John Reynolds, Martin Willheim

Abstract read
In one paragraph

Article in Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Immunophenotypic Characterization and Ploidy Analysis of Neoplastic Plasma Cells by Multiparametric Flow Cytometry.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2022
    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

8 authors at 2 institutions in 2 countries.

Dominik F Draxler1Zentrallabor, Wilhelminenspital der Stadt Wien, Vienna, Austria.ORCID 0000-0002-6826-0058
Lisa M Wutzlhofer1Zentrallabor, Wilhelminenspital der Stadt Wien, Vienna, Austria.
Georg Slavka1Zentrallabor, Wilhelminenspital der Stadt Wien, Vienna, Austria.
Wolfgang Hübl1Zentrallabor, Wilhelminenspital der Stadt Wien, Vienna, Austria.
Heinz Ludwig2I. Medizinische Abteilung, Zentrum für Onkologie, Hämatologie und Palliativmedizin, Wilhelminenspital der Stadt Wien, Vienna, Austria.
Martin Schreder2I. Medizinische Abteilung, Zentrum für Onkologie, Hämatologie und Palliativmedizin, Wilhelminenspital der Stadt Wien, Vienna, Austria.
John Reynolds3Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Martin Willheim1Zentrallabor, Wilhelminenspital der Stadt Wien, Vienna, Austria.
Wilhelminen Hospital · ATMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing interest has been expressed for flow cytometric immunophenotyping for diagnosis and monitoring in plasma cell dyscrasias over the last decades. The aim of this investigation was to compare the expression strength of various cell surface markers used traditionally or currently under investigation on normal and abnormal PC populations. We enrolled 295 consecutive patients undergoing bone marrow aspiration in the workup of monoclonal gammopathies, selecting 54 normal and 241 abnormal PC populations via flow cytometry to characterize the expression of CD45, CD38, CD138, CD19, CD56, CD20, CD27, CD28, CD81, CD117 and CD200 on the cell surface of PCs. We observed significant differences in the expression strength of all assessed markers between normal and abnormal PC populations in all markers except for CD20. While none of them was conclusive on its own, the combination of CD81 positivity and CD117 negativity was present in 98.1% of normal PC populations tested. In contrast, particularly CD117 positivity, but also CD81 negativity was indicative of an abnormal PC phenotype. Our results highlight the descriptive value of CD81 and CD117 for the allocation of bone marrow PCs to a normal or abnormal phenotype.

Indexed as

FACSFlow cytometryMultiple myelomaPlasma cell dyscrasiasPlasma cells

Identifiers

PMID31741619
PMCPMC6825118
OpenAlexW2920841857

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.