Evidence map›Paper›PMID 37046720›Full record

ArticleCancers2023

Consensus for Flow Cytometry Clinical Report on Multiple Myeloma: A Multicenter Harmonization Process Merging Laboratory Experience and Clinical Needs.

Iole Cordone, Rachele Amodeo, Silvia Bellesi, Fiorella Bottan, Francesco Buccisano, Maria Stefania De Propris, Serena Masi, Valentina Panichi, Maria Cristina Scerpa, Ombretta Annibali and 12 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
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  5. 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

22 authors at 11 institutions in 1 country.

Iole CordoneDepartment of Research, Advanced Diagnostic and Technological Innovation, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy.
Rachele AmodeoClinical Pathology and Biochemistry Unit, Sant'Andrea University Hospital, 00189 Rome, Italy.
Silvia BellesiDepartment of Diagnostic Imaging, Oncological Radiotherapy and Haematology, IRCCS Foundation A. Gemelli University Hospital, 00168 Rome, Italy.
Fiorella BottanClinical Pathology Unit, San Giovanni Addolorata Hospital, 00184 Rome, Italy.
Francesco BuccisanoHaematology and Stem Cell Transplant Unit, Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', 00133 Rome, Italy.ORCID 0000-0003-4320-9253
Maria Stefania De ProprisImmunophenotype Laboratory, Department of Translational and Precision Medicine, 'Sapienza' University, 00185 Rome, Italy.
Serena MasiDepartment of Research, Advanced Diagnostic and Technological Innovation, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy.
Valentina PanichiMicrobiology and Virology Unit, Department of Oncology and Haematology, Belcolle Central Hospital, 01100 Viterbo, Italy.
Maria Cristina ScerpaHaematology and Stem Cell Unit, Santa Maria Goretti Hospital, ASL Latina, 04100 Latina, Italy.
Ombretta AnnibaliHaematology and Stem Cell Transplant Unit, Campus Bio-Medico University, 00128 Rome, Italy.
Velia BongarzoniHaematology Unit, San Giovanni Addolorata Hospital, 00184 Rome, Italy.
Tommaso Caravita di TorittoHaematology Unit, ASL Roma 1, 00193 Rome, Italy.
Ugo CoppetelliHaematology and Stem Cell Unit, Santa Maria Goretti Hospital, ASL Latina, 04100 Latina, Italy.
Luca CupelliHaematology Unit, Sant'Eugenio Hospital, ASL Roma 2, 00144 Rome, Italy.
Paolo de FabritiisHaematology Unit, Sant'Eugenio Hospital, ASL Roma 2, 00144 Rome, Italy.
Luca FranceschiniHaematology and Stem Cell Transplant Unit, Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', 00133 Rome, Italy.
Mariagrazia GarziaHaematology and Stem Cell Transplant Unit, San Camillo Forlanini Hospital, 00152 Rome, Italy.
Alessia FioriniDepartment of Oncology and Haematology, Belcolle Central Hospital, 01100 Viterbo, Italy.
Giacinto LaverdeHaematology Unit, Sant'Andrea University Hospital, 00189 Rome, Italy.
Andrea MengarelliDepartment of Research and Clinical Oncology, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0002-2606-2467
Tommaso ZaDepartment of Diagnostic Imaging, Oncological Radiotherapy and Haematology, IRCCS Foundation A. Gemelli University Hospital, 00168 Rome, Italy.
Maria Teresa PetrucciHaematology Unit, Department of Translational and Precision Medicine, 'Sapienza' University, 00185 Rome, Italy.ORCID 0000-0003-0688-4882
ASL Roma · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITAgostino Gemelli University Polyclinic · ITAzienda Ospedaliera San Giovanni Addolorata · ITOspedale di Belcolle · ITOspedale Santa Maria Goretti · ITSapienza University of Rome · ITUniversity of Rome Tor Vergata · ITAzienda Ospedaliera Sant'Andrea · ITCarlo Forlanini Hospital · ITUniversità Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flow cytometry is a highly sensitive and specific approach for discriminating between normal and clonal plasma cells in multiple myeloma. Uniform response criteria after treatment have been established by the International Myeloma Working Group and the EuroFlow Group; however, the way in which flow cytometry data are reported has suffered from no collaborative or multicentre efforts. This study, involving 8 expert laboratories and 12 clinical hematology units of the Lazio region in Italy, aims to produce a uniform and shared report among the various Centres. From the pre-analytical phase to sample processing, data acquisition, analysis, and evaluation of the potential limitations and pitfalls of the entire process, the study reaches a final conclusion shared by laboratories and clinicians according to the most updated principles and recommendations. The aim was to identify the necessary data to be included in the clinical report by using multiple-choice questionnaires at every single stage of the process. An agreement of more than 75% of the laboratories was considered mandatory for the data to be included in the report. By ensuring the operational autonomy of each laboratory, this study provides a clear report that limits subjective interpretations and highlights possible bias in the process, better supporting clinical decision-making.

Indexed as

clinical reportflow cytometryminimal residual diseasemultiple myeloma

Identifiers

PMID37046720
PMCPMC10093543
OpenAlexW4361273979

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.