Evidence map›Paper›PMID 32935190›Full record

ArticleAnnals of hematology2020

Biological properties of bone marrow plasma cells influence their recovery in aspirate specimens: impact on classification of plasma cell disorders and potential bias to evaluation of treatment response.

Svitlana Demyanets, Alexandra Kaider, Ingrid Simonitsch-Klupp, Günther Bayer, Almira Subasic, Renate Thalhammer, Harald Esterbauer, Maria T Krauth, Hermine Agis, Thomas Reiter and 1 more

Open access · hybridAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in Annals of hematology, 2020. 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
0.5field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Analysis of Normal Plasma Cell Distribution Across Distinct Age Cohorts Reveals Age-Dependent Changes.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2024
    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

11 authors at 2 institutions in 1 country.

Svitlana DemyanetsDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-0601-0667
Alexandra KaiderCenter for Medical Statistics, Informatics, and Intelligent Systems Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.
Ingrid Simonitsch-KluppDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Günther BayerDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Almira SubasicDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Renate ThalhammerDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Harald EsterbauerDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Maria T KrauthDepartment of Internal Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria.
Hermine AgisDepartment of Internal Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria.
Thomas ReiterDepartment of Internal Medicine III, Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Ilse SchwarzingerDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria. ilse.schwarzinger@meduniwien.ac.at.ORCID https://orcid.org/0000-0001-8250-6520
Medical University of Vienna · ATStatistics Austria · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods to estimate bone marrow plasma cells (BMPC) basically include histopathology, cytomorphology, and flow cytometry. The present study compares the outcomes of these methods with special focus on the impact of BMPC-specific characteristics on their recovery by either method. Laboratory reports of diagnostic samples from 238 consecutive patients with suspected or known plasma cell disease were retrospectively analyzed. The median (IQR) proportion of BMPC was 30.0% (15.0-70.0%) by histological review (hBMPC), 7.0% (2.0-16.0%) by smear review (sBMPC), and 3.0% (0.8-10.0%) by flow cytometry (fBMPC). The disparity of results between core biopsy and aspirate smear was enhanced in case of poor quality of the smear, increased BM fiber content, higher grade cell atypia, expression of CD56 (all P < 0.0001), the number of cytogenetic aberrations (P = 0.0002), and abnormalities of the MYC gene (P = 0.0002). Conversely, expression of CD19 and a non-clonal plasma cell phenotype were associated with a lower difference between hBMPC and sBMPC (both P < 0.0001). The disparity between the percentages of sBMPC and fBMPC was associated with the quality of the smear (P = 0.0007) and expression of CD56 (P < 0.0001). Our results suggest that the recovery of BMPC in aspirate specimens not only is a matter of sampling quality but also depends on biological cell properties. Aspiration failure due to malignant type features of BMPC may lead to misclassification of plasma cell disorders and represent a bias for the detection of minimal residual disease after therapy.

Indexed as

Bone Marrow CellsMultiple MyelomaPlasma CellsAdultAntigens, CD19CD56 AntigenFemaleFlow CytometryHumansImmunophenotypingMaleMiddle AgedNeoplasm ProteinsNeoplasm, ResidualRetrospective StudiesAntigens, CD19CD19 molecule, humanCD56 AntigenNCAM1 protein, humanNeoplasm ProteinsBone marrow aspirateBone marrow biopsyCD56Cytogenetic aberrationsPlasma cell recovery

Identifiers

PMID32935190
PMCPMC7536141
OpenAlexW3086594205

What OpenQuestion holds

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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.