Evidence map›Paper›PMID 32824635›Full record

ArticleCancers2020

Comparison of NGS and MFC Methods: Key Metrics in Multiple Myeloma MRD Assessment.

Katharina Kriegsmann, Michael Hundemer, Nicole Hofmeister-Mielke, Philipp Reichert, Calin-Petru Manta, Mohamed H S Awwad, Sandra Sauer, Uta Bertsch, Britta Besemer, Roland Fenk and 10 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The burden of myeloma: novel approaches to disease assessment.Hematology. American Society of Hematology. Education Program · 2022
    Review
  10. Review
  11. MRD Assessment in Multiple Myeloma: Progress and Challenges.Current hematologic malignancy reports · 2021
    Review
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

20 authors at 8 institutions in 1 country.

Katharina KriegsmannDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Michael HundemerDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Nicole Hofmeister-MielkeDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Philipp ReichertDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0001-7583-6222
Calin-Petru MantaDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Mohamed H S AwwadDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Sandra SauerDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Uta BertschDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0001-5584-3951
Britta BesemerDepartment of Hematology, Oncology and Immunology, University Hospital Tübingen, 72076 Tübingen, Germany.
Roland FenkDepartment of Hematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, 40225 Düsseldorf, Germany.
Mathias HänelDepartment of Internal Medicine III, Klinikum Chemnitz, 09113 Chemnitz, Germany.
Markus MunderDepartment of Internal Medicine III, University Medical Center Mainz, 55131 Mainz, Germany.
Katja C WeiselDepartment of Oncology, Hematology and Bone Marrow Transplantation with Department of Pneumology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Igor W BlauMedical Clinic, Charité University Medicine Berlin, 10117 Berlin, Germany.
Andreas NeubauerDepartment of Hematology, Oncology and Immunology, Philipps-University Marburg, 35043 Marburg, Germany.ORCID 0000-0002-7606-8760
Carsten Müller-TidowDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Marc S RaabDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Hartmut GoldschmidtDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Stefanie HuhnDepartment of Hematology, Oncology and Rheumatology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
For The German-Speaking Myeloma Multicenter Group Gmmg
Heidelberg University · DECharité - Universitätsmedizin Berlin · DEDüsseldorf University Hospital · DEJohannes Gutenberg University Mainz · DEKlinikum Chemnitz · DEPhilipps University of Marburg · DEUniversität Hamburg · DEUniversity Children's Hospital Tübingen · DE

Funding

Bristol-Myers Squibb GmbH xCelgene xChugai Pharma xKGaA x
6 · The paper itself

Abstract

In order to meet the challenges in data evaluation and comparability between studies in multiple myeloma (MM) minimal residual disease (MRD) assessment, the goal of the current study was to provide a step-by-step evaluation of next-generation sequencing (NGS) and multicolor flow cytometry (MFC) data. Bone marrow (BM) sample pairs from 125 MM patients were analyzed by NGS and MFC MM MRD methods. Tumor load (TL) and limit of detection (LOD) and quantification (LOQ) were calculated. The best-fit MRD cut-off was chosen as 1 × 10

Indexed as

EuroFlowminimal residual disease (MRD)multicolor flow cytometry (MFC)multiple myeloma (MM)next-generation sequencing (NGS)

Identifiers

PMID32824635
PMCPMC7464347
OpenAlexW3049531330

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.