Evidence map›Paper›PMID 40402082›Full record

ArticleBlood advances2025

A revised prognostic model for patients with acute myeloid leukemia and first relapse.

Niek G van der Maas, Dimitri Breems, Clara P W Klerk, Thomas Pabst, Patrycja Gradowska, Abin Thomas, Bart J Biemond, Jurgen Kuball, Catharina H M J Van Elssen, Otto Visser and 17 more

Abstract read
In one paragraph

Article in Blood advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

27 authors.

Niek G van der MaasDepartment of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, The Netherlands.ORCID 0009-0006-9751-8122
Dimitri BreemsDepartment of Hematology, Ziekenhuis aan de Stroom, Cadix Hospital, Antwerp, Belgium.
Clara P W KlerkDepartment of Internal Medicine, Dijklander Hospital, Amsterdam, The Netherlands.
Thomas PabstDepartment of Medical Oncology, University Hospital, Inselspital, Bern, Switzerland.ORCID 0000-0002-6055-5257
Patrycja GradowskaDepartment of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0002-4620-9163
Abin ThomasCentre for Trials Research, College of Biomedical & Life Sciences, Cardiff University, Cardiff, United Kingdom.ORCID 0000-0002-8283-6762
Bart J BiemondDepartment of Hematology, Amsterdam University Medical Center, Cancer Center Amsterdam, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-4426-5743
Jurgen KuballDepartment of Hematology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-3914-7806
Catharina H M J Van ElssenDivision Hematology, Department of Internal Medicine, GROW institute for Oncology and developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands.
Otto VisserDepartment of Hematology, Isala Hospital, Zwolle, The Netherlands.
Marie-Christiane VekemansDepartment of Hematology, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Carlos GrauxDepartment of Hematology, Université Catholique de Louvain, University Hospital Center Namur (Godinne), Yvoir, Belgium.ORCID 0000-0001-9236-3623
Johan MaertensDepartment of Hematology, University Hospital Gasthuisberg, Leuven, Belgium.ORCID 0000-0003-4257-5980
Steven KnapperSchool of Medicine, Cardiff University, Cardiff, United Kingdom.ORCID 0000-0002-6405-4441
Mike DennisDepartment of Haematology, The Christie NHS Foundation Trust, Manchester, United Kingdom.ORCID 0000-0002-2540-8673
Sylvie FreemanDepartment of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-1869-180X
Ian ThomasCentre for Trials Research, College of Biomedical & Life Sciences, Cardiff University, Cardiff, United Kingdom.
H Berna BeverlooDepartment of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0003-2280-7617
Gerwin HulsDepartment of Hematology, University Medical Center, University Groningen, Groningen, The Netherlands.
Charles CraddockWarwick Clinical Trials Unit, University of Warwick, Warwick, United Kingdom.ORCID 0000-0001-5041-6678
Peter J M ValkDepartment of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, The Netherlands.
Paresh VyasMRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-3931-0914
Nigel RussellGuy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Gert OssenkoppeleDepartment of Hematology, Amsterdam University Medical Center, Cancer Center Amsterdam, University of Amsterdam, Amsterdam, The Netherlands.
Bob LöwenbergDepartment of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0001-8982-5217
Jan J CornelissenDepartment of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, The Netherlands.
Jurjen VersluisDepartment of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, The Netherlands.ORCID 0000-0003-2372-1663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractMost patients with acute myeloid leukemia (AML) may obtain remission upon induction chemotherapy, but relapse is frequent and associated with poor survival. Previous prognostic models for outcomes after relapse lacked analysis of comprehensive molecular data. A validated prognostic model integrating clinical, cytogenetic, and molecular variables may support treatment decisions. We studied 943 patients with AML who relapsed after intensive induction treatment in a development cohort (HOVON-SAKK). A random survival forest algorithm was used to evaluate the association of clinical parameters, cytogenetic abnormalities, and molecular variables at diagnosis with overall survival (OS). Relapsing patients (n = 377) who were enrolled in the NCRI-AML18 trial were used for validation. In the development cohort, the median age at relapse was 58 years, and patients were classified as 2022 European LeukemiaNet favorable (22%), intermediate (31%), and adverse risk (48%). One-third underwent allogeneic transplantation in the first complete remission. Variable selection yielded 9 variables associated with 1-year OS, including relapse-free interval, age, white blood cell count, mutated TP53, FLT3 internal tandem duplication, core-binding factor abnormalities, t(v;11q23)/KMT2A rearrangement, and complex/monosomal karyotype, which were assigned points according to their estimated hazard ratios. Three prognostic groups were defined with distinct 1-year OS in both development (favorable, 51% ± 3%; intermediate, 29% ± 3%; and poor, 14% ± 2%, respectively) and validation cohorts (51% ± 4%, 26% ± 5%, and 14% ± 3%, respectively). Validation confirmed the improved accuracy in predicting outcomes for patients with AML in first relapse. The revised AML relapse model improved on previous prognostic models for outcomes after first relapse. It provides stratification that might support tailoring second line treatment.

Indexed as

Leukemia, Myeloid, AcuteAdultAgedFemaleHumansMaleMiddle AgedPrognosisRecurrenceYoung Adult

Identifiers

PMID40402082
PMCPMC12329292

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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.