Evidence map›Paper›PMID 30592078›Full record

Trial reportAmerican journal of hematology2019

Rapid assessment of hyperdiploidy in plasma cell disorders using a novel multi-parametric flow cytometry method.

Surbhi Sidana, Dragan Jevremovic, Rhett P Ketterling, Nidhi Tandon, Angela Dispenzieri, Morie A Gertz, Patricia T Greipp, Linda B Baughn, Francis K Buadi, Martha Q Lacy and 13 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in American journal of hematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Risk factors for multiple myeloma and its precursor diseases.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

23 authors at 1 institution in 1 country.

Surbhi SidanaDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-3288-7614
Dragan JevremovicDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Rhett P KetterlingDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Nidhi TandonDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-4008-9081
Angela DispenzieriDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Morie A GertzDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-3853-5196
Patricia T GreippDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Linda B BaughnDivision of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Francis K BuadiDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Martha Q LacyDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
William MoriceDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Curtis HansonDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Michael TimmDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
David DingliDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Suzanne R HaymanDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Wilson I GonsalvesDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-6890-969X
Prashant KapoorDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Robert A KyleDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Nelson LeungDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-5651-1411
Ronald S GoDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-8284-3495
John A LustDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
S Vincent RajkumarDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-5862-1833
Shaji K KumarDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-5392-9284
Mayo Clinic · US

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
NCATS NIH HHS UL1 TR002377NIH HHS
6 · The paper itself

Abstract

Trisomies of odd numbered chromosomes are seen in nearly half of patients with multiple myeloma (MM) and typically correlate with a hyperdiploid state and better overall survival (OS). We compared DNA ploidy of monoclonal plasma cells (as a surrogate for the presence of trisomies) assessed simultaneously by PCPRO (plasma cell proliferative index), a novel method that estimates DNA index by multi-parametric flow cytometry to fluorescence in situ hybridization (FISH) in 1703 patients with plasma cell disorders. The distribution of ploidy was hyperdiploid: 759 (45%), diploid 765 (45%), hypodiploid: 71 (4%), tetraploid/near-tetraploid: 108 (6%). FISH identified trisomies in 82% (621/756) of patients with hyperdiploidy by PCPRO and no trisomy by FISH was observed in 88% (730/834) of patients without hyperdiploidy. 95% (795/834) of patients without hyperdiploidy on PCPRO had one or less trisomy by FISH. Sensitivity and specificity of PCPRO for detecting hyperdiploidy was 86% (621/725) and 84% (730/865), respectively. Sensitivity increased to 94% (579/618) for patients with more than one trisomy. Newly diagnosed MM patients with hyperdiploidy on PCPRO (147/275) had better OS compared to nonhyperdiploid patients (median not reached vs 59 months, P = 0.008) and better progression free survival (median: 33 vs 23 months, P = 0.03). Within the hyperdiploidy group, patients with high-hyperdiploidy (DNA index: 1.19-1.50) versus those with low-hyperdiploidy (DNA index: 1.05-1.18) had superior OS (3 year OS of 88% vs 68% P = 0.03). Ploidy assessment by flow cytometry can provide rapid, valuable prognostic information and also reduces the number of copy number FISH probes required and hence the cost of FISH.

Indexed as

Flow CytometryKaryotypingTrisomyDisease-Free SurvivalFemaleHumansIn Situ Hybridization, FluorescenceMaleMultiple MyelomaPredictive Value of TestsSurvival Rate

Identifiers

PMID30592078
PMCPMC8083940
OpenAlexW2906793849

What OpenQuestion holds

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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.