Evidence map›Paper›PMID 37041198›Full record

ArticleLeukemia2023

Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia.

Christian Rausch, Maja Rothenberg-Thurley, Annika Dufour, Stephanie Schneider, Hanna Gittinger, Cristina Sauerland, Dennis Görlich, Utz Krug, Wolfgang E Berdel, Bernhard J Woermann and 6 more

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 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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19 more citing papers are in PubMed but not listed here.

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

16 authors.

Christian RauschLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-7364-5526
Maja Rothenberg-ThurleyLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Annika DufourLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Stephanie SchneiderLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Hanna GittingerLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Cristina SauerlandInstitute of Biostatistics and Clinical Research, University of Münster, Münster, Germany.
Dennis GörlichInstitute of Biostatistics and Clinical Research, University of Münster, Münster, Germany.
Utz KrugDepartment of Medicine 3, Klinikum Leverkusen, Leverkusen, Germany.
Wolfgang E BerdelDepartment of Medicine A, University Hospital Münster, Münster, Germany.
Bernhard J WoermannGerman Society of Hematology and Oncology, Berlin, Germany.
Wolfgang HiddemannLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Jan BraessDepartment of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg, Germany.
Michael von Bergwelt-BaildonLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Karsten SpiekermannLaboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-5139-4957
Tobias Herold *Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany. tobias.herold@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-9615-9432
Klaus H Metzeler *Department of Hematology, Cellular Therapy and Hemostaseology, University Hospital Leipzig, Leipzig, Germany. klaus.metzeler@medizin.uni-leipzig.de.ORCID http://orcid.org/0000-0003-3920-7490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The revised 2022 European LeukemiaNet (ELN) AML risk stratification system requires validation in large, homogeneously treated cohorts. We studied 1118 newly diagnosed AML patients (median age, 58 years; range, 18-86 years) who received cytarabine-based induction chemotherapy between 1999 and 2012 and compared ELN-2022 to the previous ELN-2017 risk classification. Key findings were validated in a cohort of 1160 mostly younger patients. ELN-2022 reclassified 15% of patients, 3% into more favorable, and 12% into more adverse risk groups. This was mainly driven by patients reclassified from intermediate- to adverse-risk based on additional myelodysplasia-related mutations being included as adverse-risk markers. These patients (n = 79) had significantly better outcomes than patients with other adverse-risk genotypes (5-year OS, 26% vs. 12%) and resembled the remaining intermediate-risk group. Overall, time-dependent ROC curves and Harrel's C-index controlling for age, sex, and AML type (de novo vs. sAML/tAML) show slightly worse prognostic discrimination of ELN-2022 compared to ELN-2017 for OS. Further refinement of ELN-2022 without including additional genetic markers is possible, in particular by recognizing TP53-mutated patients with complex karyotypes as "very adverse". In summary, the ELN-2022 risk classification identifies a larger group of adverse-risk patients at the cost of slightly reduced prognostic accuracy compared to ELN-2017.

Indexed as

Leukemia, Myeloid, AcuteHumansMiddle AgedMutationPrognosisRisk AssessmentRisk Factors

Identifiers

PMID37041198
PMCPMC10244159

What OpenQuestion holds

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Registered trials

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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.