Evidence map›Paper›PMID 31647610›Full record

ArticleInternational journal of laboratory hematology2019

A hierarchical approach in the diagnostic workflow of chronic myelomonocytic leukemia: Pivotal role of the "Mono-dysplasia-score" combined with flow cytometric quantification of monocyte subsets.

Jaja Zhu, Elise Sourdeau, Honorine Aubert, Sylvain Clauser, Agathe Maillon, Claude Capron, Katayoun Jondeau, Emily Ronez, Francoise Schillinger, Francine Garnache-Ottou and 2 more

Abstract read
In one paragraph

Article in International journal of laboratory hematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
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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

12 authors.

Jaja ZhuService d'Hématologie-Immunologie-Transfusion, Hôpitaux Universitaires Paris Ile De France Ouest, Université Versailles Saint Quentin, Boulogne, France.
Elise SourdeauService d'Hématologie-Immunologie-Transfusion, Hôpitaux Universitaires Paris Ile De France Ouest, Université Versailles Saint Quentin, Boulogne, France.
Honorine AubertLaboratoire d'Hématologie, UNICAEN, CHU de Caen Normandie, Normandie University, Caen, France.
Sylvain ClauserService d'Hématologie-Immunologie-Transfusion, Hôpitaux Universitaires Paris Ile De France Ouest, Université Versailles Saint Quentin, Boulogne, France.
Agathe MaillonService d'Hématologie-Immunologie-Transfusion, Hôpitaux Universitaires Paris Ile De France Ouest, Université Versailles Saint Quentin, Boulogne, France.
Claude CapronService d'Hématologie-Immunologie-Transfusion, Hôpitaux Universitaires Paris Ile De France Ouest, Université Versailles Saint Quentin, Boulogne, France.
Katayoun JondeauUnité fonctionnelle d'Hématologie, Service de Médecine Interne, Hôpitaux Universitaires Paris Ile De France Ouest, Université Versailles Saint Quentin, Boulogne, France.
Emily RonezService d'Hématologie-Immunologie-Transfusion, Hôpitaux Universitaires Paris Ile De France Ouest, Université Versailles Saint Quentin, Boulogne, France.
Francoise SchillingerLaboratoire d'Hématologie, Etablissement Français du Sang de Bourgogne/Franche-Comté, Besançon, France.ORCID https://orcid.org/0000-0002-0420-9210
Francine Garnache-OttouLaboratoire d'Hématologie, Etablissement Français du Sang de Bourgogne/Franche-Comté, Besançon, France.
Edouard CornetLaboratoire d'Hématologie, UNICAEN, CHU de Caen Normandie, INSERM U1245, Normandie University, Caen, France.ORCID https://orcid.org/0000-0003-1667-3421
Valérie BardetService d'Hématologie-Immunologie-Transfusion, Hôpitaux Universitaires Paris Ile De France Ouest, Université Versailles Saint Quentin, Boulogne, France.ORCID https://orcid.org/0000-0003-0271-3357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMonocytosis is a frequent trigger for blood smear review in a routine hematology laboratory whereas chronic myelomonocytic leukemia (CMML) is infrequent and arises mostly in elderly patients. In order to define the best workflow for monocytosis, we studied three diagnostic approaches: the classical morphology approach (blood smear review), the flow cytometry assay (quantification of monocyte subsets as described by Selimoglu-Buet et al in 2015), and the "mono-dysplasia-score" also referred to as "Monoscore (as described by our team in 2018 using the structural parameters of the Sysmex XN™ analyzers).

methodsStudying a multicentric cohort of 196 nonclonal monocytoses and CMML patients aged over 50 years, we compared the diagnostic performance of the three approaches alone and in combination to propose a diagnostic decision tree.

resultsIn patients presenting with additional criteria for slide review to monocytosis (37% of our cohort), we propose to sequentially combine morphology, Monoscore, and flow cytometry. On the contrary, for patients with isolated monocytosis (63%), slide review is not mandatory and we suggest performing flow cytometry depending on the Monoscore value. Using the proposed algorithm, 98% of CMML patients would have been correctly identified, slide review rate drastically reduced, and flow cytometry would have been carried out in 44% of patients.

conclusionWe have shown that implementation of Monoscore is a useful input filter to significantly reduce slide reviews without losing sensitivity and that flow cytometry is a performant technique in the second step of the diagnostic workup of CMML.

Indexed as

WorkflowAgedAged, 80 and overAlgorithmsDecision TreesFlow CytometryHumansLeukemia, Myelomonocytic, ChronicLeukocytosisMiddle AgedMonocyteschronic myelomonocytic leukemiaclassical monocytes fractionflow cytometrymonocyte subsetsmono-dysplasia score

Identifiers

PMID31647610
PMCPMC6916376

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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.