Evidence map›Paper›PMID 37120689›Full record

ArticleLeukemia2023

AML classification in the year 2023: How to avoid a Babylonian confusion of languages.

Sandra Huber, Constance Baer, Stephan Hutter, Frank Dicker, Manja Meggendorfer, Christian Pohlkamp, Wolfgang Kern, Torsten Haferlach, Claudia Haferlach, Gregor Hoermann

Abstract read
In one paragraph

Article in Leukemia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Annals of laboratory medicine · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Sandra HuberMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany.
Constance BaerMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany.ORCID http://orcid.org/0000-0002-8571-1551
Stephan HutterMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany.
Frank DickerMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany.
Manja MeggendorferMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany.ORCID http://orcid.org/0000-0002-9038-3265
Christian PohlkampMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany.
Wolfgang KernMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany.ORCID http://orcid.org/0000-0002-6452-2874
Torsten HaferlachMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany.ORCID http://orcid.org/0000-0003-0196-2837
Claudia HaferlachMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany.ORCID http://orcid.org/0000-0002-6333-5049
Gregor HoermannMLL Munich Leukemia Laboratory, Max-Lebsche-Platz 31, 81377, Munich, Germany. gregor.hoermann@mll.com.ORCID http://orcid.org/0000-0002-7374-4380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In parallel to the 5th edition of the World Health Organization Classification of Haematolymphoid Tumours (WHO 2022), an alternative International Consensus Classification (ICC) has been proposed. To evaluate the impact of the new classifications on AML diagnoses and ELN-based risk classification, we analyzed 717 MDS and 734 AML non-therapy-related patients diagnosed according to the revised 4th WHO edition (WHO 2017) by whole genome and transcriptome sequencing. In both new classifications, the purely morphologically defined AML entities decreased from 13% to 5%. Myelodysplasia-related (MR) AML increased from 22% to 28% (WHO 2022) and 26% (ICC). Other genetically-defined AML remained the largest group, and the abandoned AML-RUNX1 was mainly reclassified as AML-MR (WHO 2022: 77%; ICC: 96%). Different inclusion criteria of AML-CEBPA and AML-MR (i.a. exclusion of TP53 mutated cases according to ICC) were associated with differences in overall survival. In conclusion, both classifications focus on more genetics-based definitions with similar basic concepts and a large degree of agreement. The remaining non-comparability (e.g., TP53 mutated AML) needs additional studies to definitely answer open questions on disease categorization in an unbiased way.

Indexed as

Leukemia, Myeloid, AcuteMyelodysplastic SyndromesHumansLanguageMutationNucleophosminWorld Health OrganizationNucleophosmin

Identifiers

PMID37120689
PMCPMC10317829

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.