Evidence map›Paper›PMID 39044692›Full record

ArticleAnnals of laboratory medicine2025

Reclassification of Myelodysplastic Neoplasms According to the 2022 World Health Organization Classification and the 2022 International Consensus Classification Using Open-Source Data: Focus on

Jiwon Yun, Hye Ryoun Kim

Abstract read
In one paragraph

Article in Annals of laboratory medicine, 2025. 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. Clinical Characteristics and Molecular Profiling ofInternational journal of molecular sciences · 2026
    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

2 authors.

Jiwon YunDepartment of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6306-3944
Hye Ryoun KimDepartment of Laboratory Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9229-9665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In 2022, the WHO and International Consensus Classification (ICC) published diagnostic criteria for myelodysplastic neoplasms (MDSs). We examined the influence of the revised diagnostic criteria on classifying MDSs in a large population. Methods: We retrieved an open-source pre-existing dataset from cBioPortal and included 2,454 patients with MDS in this study. Patients were reclassified based on the new diagnostic 2022 WHO and ICC criteria. Survival analysis was performed using Cox regression to validate the new criteria and to assess risk factors. Results: Based on the 2022 WHO criteria, 1.4% of patients were reclassified as having AML. The 2022 WHO criteria provide a superior prognostic/diagnostic model to the 2017 WHO criteria (Akaike information criterion, 14,152 vs. 14,516; concordance index, 0.705 vs. 0.681). For classifying MDS with low blast counts and Conclusions: Our findings support the refinements of the new WHO criteria. We recommend the complementary use of the new WHO and ICC criteria in classifying

Indexed as

MutationMyelodysplastic SyndromesPhosphoproteinsRNA Splicing FactorsTumor Suppressor Protein p53World Health OrganizationAdultAgedAged, 80 and overConsensusCore Binding Factor Alpha 2 SubunitFemaleGene FrequencyHumansKaplan-Meier EstimateMaleCore Binding Factor Alpha 2 SubunitPhosphoproteinsRNA Splicing FactorsSF3B1 protein, humanTP53 protein, humanTumor Suppressor Protein p53Information sourcesInternational Consensus ClassificationMyelodysplastic syndromesWHO Classification

Identifiers

PMID39044692
PMCPMC11609713

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.