Evidence map›Paper›PMID 40056065›Full record

ReviewAmerican journal of hematology2025

Classification of Myelodysplastic, Myeloproliferative, and Myelodysplastic/Myeloproliferative Neoplasms: The Past, Present, and Future.

Daniel A Arber, Attilio Orazi

Abstract readReview
In one paragraph

Review in American journal of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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

2 authors.

Daniel A ArberDepartment of Pathology, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-2160-9689
Attilio OraziDepartment of Pathology, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA.ORCID 0000-0002-1660-7013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the recent publication of new classification systems of hematopoietic neoplasms, understanding how recognition of disease entities has occurred over time and the subsequent development of formal disease classifications is of importance. This review focuses on the early recognition of myeloid disorders, especially chronic myeloid disorders, and how clinical observations became associated with specific cytologic, histologic, immunophenotypic, and eventually genetic features. This combined approach to disease classification is of particular importance in the evaluation of chronic myeloid neoplasms and has resulted in the definition of clinicopathologic disease entities that allow for more customized treatment approaches. The constant incorporation of ever-increasing information related to these disorders illustrates that disease classification is a constantly evolving process that requires constant updates as we strive to better understand the disorders we diagnose and treat.

Indexed as

Hematologic NeoplasmsMyelodysplastic-Myeloproliferative DiseasesMyelodysplastic SyndromesMyeloproliferative DisordersHumansclassificationmyelodysplastic/myeloproliferative neoplasmsmyelodysplastic syndromemyeloproliferative neoplasms

Identifiers

PMID40056065
PMCPMC12067174

What OpenQuestion holds

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LicenceCC BY
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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.