Evidence map›Paper›PMID 39110987›Full record

ArticleBlood advances2024

Beat-AML 2024 ELN-refined risk stratification for older adults with newly diagnosed AML given lower-intensity therapy.

Fieke W Hoff, William G Blum, Ying Huang, Rina Li Welkie, Ronan T Swords, Elie Traer, Eytan M Stein, Tara L Lin, Kellie J Archer, Prapti A Patel and 30 more

Abstract read
In one paragraph

Article in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

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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

40 authors.

Fieke W HoffDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-7128-1255
William G BlumDepartment of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, GA.
Ying HuangDivision of Hematology, Department of Medicine, The Ohio State University, Columbus, OH.
Rina Li WelkieDivision of Hematology, Department of Medicine, The Ohio State University, Columbus, OH.ORCID 0000-0001-9477-4581
Ronan T SwordsDivision of Hematology/Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR.
Elie TraerDivision of Hematology/Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR.ORCID 0000-0001-8844-2345
Eytan M SteinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Tara L LinDepartment of Internal Medicine, The University of Kansas Medical Center, Kansas City, KS.ORCID 0000-0002-0242-6449
Kellie J ArcherDivision of Biostatistics, The Ohio State University, Columbus, OH.
Prapti A PatelDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Robert H CollinsDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Maria R BaerDepartment of Medicine, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD.
Vu H DuongDepartment of Medicine, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD.ORCID 0000-0003-0278-7727
Martha L ArellanoDepartment of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, GA.
Wendy StockDepartment of Medicine, The University of Chicago, Chicago, IL.
Olatoyosi OdenikeDepartment of Medicine, The University of Chicago, Chicago, IL.
Robert L RednerDepartment of Medicine, University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA.
Tibor KovacsovicsDivision of Hematology and Hematologic Malignancies, The University of Utah, Salt Lake City, UT.
Michael W DeiningerDepartment of Internal Medicine, Versiti Blood Research Institute and Medical College of Wisconsin, Milwaukee, WI.ORCID 0000-0002-2987-1331
Joshua F ZeidnerDivision of Hematology, Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0002-9014-1514
Rebecca L OlinDepartment of Medicine, University of California, San Francisco, San Francisco, CA.
Catherine C SmithDepartment of Medicine, University of California, San Francisco, San Francisco, CA.ORCID 0000-0003-0160-7026
James M ForanDepartment of Internal Medicine, Mayo Clinic, Jacksonville, FL.
Gary J SchillerDepartment of Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA.
Emily K CurranDeparrtment of Internal Medicine, University of Cincinnati, Cincinnati, OH.
Kristin L KoenigDivision of Hematology, Department of Medicine, The Ohio State University, Columbus, OH.ORCID 0000-0002-2071-3169
Nyla A HeeremaDepartment of Pathology, The Ohio State University, Columbus, OH.
Timothy ChenDivision of Hematology, Department of Medicine, The Ohio State University, Columbus, OH.
Molly MartyczDivision of Hematology, Department of Medicine, The Ohio State University, Columbus, OH.
Mona StefanosDivision of Hematology, Department of Medicine, The Ohio State University, Columbus, OH.
Sonja G MarcusLeukemia & Lymphoma Society, Rye Brook, NY.
Leonard RosenbergLeukemia & Lymphoma Society, Rye Brook, NY.
Brian J DrukerDivision of Hematology/Medical Oncology, Knight Cancer Institute, Oregon Health & Science University, Portland, OR.ORCID 0000-0001-8331-8206
Ross L LevineDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Amy BurdLeukemia & Lymphoma Society, Rye Brook, NY.
Ashley O YocumLeukemia & Lymphoma Society, Rye Brook, NY.
Uma M BorateDivision of Hematology, Department of Medicine, The Ohio State University, Columbus, OH.
Alice S MimsDivision of Hematology, Department of Medicine, The Ohio State University, Columbus, OH.ORCID 0000-0002-8971-2199
John C ByrdDeparrtment of Internal Medicine, University of Cincinnati, Cincinnati, OH.
Yazan F MadanatDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0001-9573-2690

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Tumor Intrinsic and Microenvironmental Mechanisms Driving Drug Combination Efficacy and Resistance in AMLU54CA224019 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Jeffrey Wallace Tyner · 2017 to 2026
$13.9M
Targeting the Metabolic Regulator SIRT5 in Acute Myeloid LeukemiaR01CA254354 · NCI · VERSITI WISCONSIN, INC. · PI DEININGER, MICHAEL W. · 2020 to 2024
$2.9M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA254354NCI NIH HHS U54 CA224019
6 · The paper itself

Abstract

abstractAlthough the 2022 European LeukemiaNet (ELN) acute myeloid leukemia (AML) risk classification reliably predicts outcomes in younger patients treated with intensive chemotherapy, it is unclear whether it applies to adults ≥60 years treated with lower-intensity treatment (LIT). We aimed to test the prognostic impact of ELN risk in patients with newly diagnosed (ND) AML aged ≥60 years given LIT and to further refine risk stratification for these patients. A total of 595 patients were included: 11% had favorable-, 11% intermediate-, and 78% had adverse-risk AML. ELN risk was prognostic for overall survival (OS) (P < .001) but did not stratify favorable- from intermediate-risk (P = .71). Within adverse-risk AML, the impact of additional molecular abnormalities was further evaluated. Multivariable analysis was performed on a training set (n = 316) and identified IDH2 mutation as an independent favorable prognostic factor, and KRAS, MLL2, and TP53 mutations as unfavorable (P < .05). A "mutation score" was calculated for each combination of these mutations, assigning adverse-risk patients to 2 risk groups: -1 to 0 points ("Beat-AML intermediate") vs 1+ points ("Beat-AML adverse"). In the final refined risk classification, ELN favorable- and intermediate-risk were combined into a newly defined "Beat-AML favorable-risk" group, in addition to mutation scoring within the ELN adverse-risk group. This approach redefines risk for older patients with ND AML and proposes refined Beat-AML risk groups with improved discrimination for OS (2-year OS, 48% vs 33% vs 11%, respectively; P < .001), providing patients and providers additional information for treatment decision-making.

Indexed as

Leukemia, Myeloid, AcuteAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsFemaleHumansMaleMiddle AgedMutationPrognosisRisk Assessment

Identifiers

PMID39110987
PMCPMC11497398

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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.