Evidence map›Paper›PMID 37206278›Full record

ArticleEJHaem2023

Erythroleukemia: Classification.

Nathalie Cervera, Arnaud Guille, José Adélaïde, Marie-Anne Hospital, Sylvain Garciaz, Marie-Joelle Mozziconacci, Norbert Vey, Véronique Gelsi-Boyer, Daniel Birnbaum

Abstract read
In one paragraph

Article in EJHaem, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Acute Erythroid Leukemia: From Molecular Biology to Clinical Outcomes.International journal of molecular sciences · 2024
    Review
  4. Review
  5. 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

9 authors.

Nathalie CerveraLaboratoire d'Oncologie Prédictive Centre de Recherche en Cancérologie de Marseille (CRCM) Institut Paoli-Calmettes INSERM UMR 1068 CNRS UMR725 Aix-Marseille Université Marseille France.ORCID https://orcid.org/0000-0002-6112-386X
Arnaud GuilleLaboratoire d'Oncologie Prédictive Centre de Recherche en Cancérologie de Marseille (CRCM) Institut Paoli-Calmettes INSERM UMR 1068 CNRS UMR725 Aix-Marseille Université Marseille France.
José AdélaïdeLaboratoire d'Oncologie Prédictive Centre de Recherche en Cancérologie de Marseille (CRCM) Institut Paoli-Calmettes INSERM UMR 1068 CNRS UMR725 Aix-Marseille Université Marseille France.
Marie-Anne HospitalDépartement d'Hématologie Institut Paoli-Calmettes Marseille France.
Sylvain GarciazDépartement d'Hématologie Institut Paoli-Calmettes Marseille France.
Marie-Joelle MozziconacciDépartement de BioPathologie Institut Paoli-Calmettes Marseille France.
Norbert VeyDépartement d'Hématologie Institut Paoli-Calmettes Marseille France.
Véronique Gelsi-BoyerLaboratoire d'Oncologie Prédictive Centre de Recherche en Cancérologie de Marseille (CRCM) Institut Paoli-Calmettes INSERM UMR 1068 CNRS UMR725 Aix-Marseille Université Marseille France.
Daniel BirnbaumLaboratoire d'Oncologie Prédictive Centre de Recherche en Cancérologie de Marseille (CRCM) Institut Paoli-Calmettes INSERM UMR 1068 CNRS UMR725 Aix-Marseille Université Marseille France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute erythroid leukemia (AEL) is a rare (2%-5%) form of acute myeloid leukemia (AML). Molecular alterations found in AEL resemble those of other AMLs. We report a classification of AELs in three major classes, with different prognosis and some specific features such as a tendency to mutual exclusion of mutations in epigenetic regulators and signaling genes.

Indexed as

acute erythroid leukemiamolecular classificationmutationsTP53

Identifiers

PMID37206278
PMCPMC10188454

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.