Evidence map›Paper›PMID 39125507›Full record

ArticleDiagnostics (Basel, Switzerland)2024

WHO/ICC Classification for Myelodysplastic Neoplasms/Syndromes Performs Better for Subtype Cytomorphological Diagnosis?

Ana Isabel Vicente, Irene Luna, Juan Carlos Ruiz, María José Remigia, Andrés Jerez, Rafael Lluch, Inmaculada Llopis, María Josefa Marco, Carmen Benet, Carmen Alonso and 5 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Ana Isabel VicenteHospital Universitario y Politécnico La Fe, 46026 Valencia, Spain.
Irene LunaHospital Universitario y Politécnico La Fe, 46026 Valencia, Spain.
Juan Carlos RuizDepartamento de Metodología de las Ciencias del Comportamiento, Facultad de Psicología, Universidad de Valencia, 46010 Valencia, Spain.
María José RemigiaServicio de Hematología, Hospital Clínico Universitario, 46010 Valencia, Spain.
Andrés JerezServicio de Hematología, Hospital General Universitario Morales Meseguer, 30008 Murcia, Spain.ORCID 0000-0002-2079-6638
Rafael LluchServicio de Hematología, Hospital Universitario de la Ribera, 46600 Valencia, Spain.ORCID 0000-0003-1358-5186
Inmaculada LlopisServicio de Hematología, Hospital Universitario de la Ribera, 46600 Valencia, Spain.
María Josefa MarcoServicio de Hematología, Hospital Universitario Dr. Peset, 46017 Valencia, Spain.
Carmen BenetServicio de Hematología, Hospital Arnau de Vilanova, 46015 Valencia, Spain.
Carmen AlonsoServicio de Hematología, Hospital Arnau de Vilanova, 46015 Valencia, Spain.
María Dolores LinaresServicio de Hematología, Hospital General Universitario de Castellón, 12004 Castelló de la Plana, Spain.
Luis SerranoServicio de Hematología, Hospital General Universitario de Castellón, 12004 Castelló de la Plana, Spain.
María Teresa OreroServicio de Hematología, Consorcio Hospital General Universitario, 46014 Valencia, Spain.
Francisco José OrtuñoServicio de Hematología, Hospital General Universitario Morales Meseguer, 30008 Murcia, Spain.
María Leonor SenentHospital Universitario y Politécnico La Fe, 46026 Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The International Consensus Classification of Myeloid Neoplasms and Acute Leukemias (ICC) and the 5th edition of the WHO classification (WHO 2022) have refined the diagnosis of myelodysplastic syndromes (MDS). Both classifications segregate MDS subtypes based on molecular or cytogenetic findings but rely on the subjective assessment of blast cell percentage and dysplasia in hematopoietic cell lineages. This study aimed to evaluate interobserver concordance among 13 cytomorphologists from eight hospitals in assessing blast percentages and dysplastic features in 44 MDS patients. The study found fair interobserver agreement for the PB blast percentage and moderate agreement for the BM blast percentage, with the best concordance in cases with <5% BM blasts and >10% BM blasts. Monocyte count agreement was fair, and dysplasia assessment showed moderate concordance for megakaryocytic lineage but lower concordance for erythroid and granulocytic lineages. Overall, interobserver concordance for MDS subtypes was moderate across all classifications, with slightly better results for WHO 2022. These findings highlight the ongoing need for morphological evaluation in MDS diagnosis despite advances in genetic and molecular techniques. The study supports the blast percentage ranges established by the ICC but suggests refining BM blast cutoffs. Given the moderate interobserver concordance, a unified classification approach for MDS is recommended.

Indexed as

blast count concordanceICC classificationmorphological evaluationmyelodysplastic syndromesWHO classification

Identifiers

PMID39125507
PMCPMC11312140

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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.