Evidence map›Paper›PMID 37706344›Full record

ArticleHaematologica2024

Prognostic value of European LeukemiaNet 2022 criteria and genomic clusters using machine learning in older adults with acute myeloid leukemia.

Silvia Park, Tong Yoon Kim, Byung-Sik Cho, Daehun Kwag, Jong-Mi Lee, MyungShin Kim, Yonggoo Kim, Jamin Koo, Anjali Raman, Tae Kon Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Silvia ParkDepartment of Hematology, Catholic Hematology Hospital, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea; Leukemia Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Korea; Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Tong Yoon KimDepartment of Hematology, Catholic Hematology Hospital, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea; Leukemia Research Institute, College of Medicine, The Catholic University of Korea, Seoul.
Byung-Sik ChoDepartment of Hematology, Catholic Hematology Hospital, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea; Leukemia Research Institute, College of Medicine, The Catholic University of Korea, Seoul. cbscho@catholic.ac.kr.
Daehun KwagDepartment of Hematology, Catholic Hematology Hospital, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea; Leukemia Research Institute, College of Medicine, The Catholic University of Korea, Seoul.
Jong-Mi LeeDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul.
MyungShin KimDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul.
Yonggoo KimDepartment of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Seoul.
Jamin KooDepartment of Chemical Engineering, Hongik University, Seoul, Korea; ImpriMedKorea Inc, Seoul.
Anjali RamanDivision of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt University, Nashville, TN.
Tae Kon KimDivision of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt University, Nashville, TN.
Hee-Je KimDepartment of Hematology, Catholic Hematology Hospital, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea; Leukemia Research Institute, College of Medicine, The Catholic University of Korea, Seoul.
Catholic University of Korea · KRHongik University · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRVanderbilt University · USVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to validate the new European Leukemia Net (ELN) 2022 criteria for genetic risk stratification in older adults with acute myeloid leukemia (AML) and to determine the most likely set of clusters of similar cytogenetic and mutation properties correlated with survival outcomes in three treatment groups: intensive chemotherapy (IC), hypomethylating agents (HMA) alone, and HMA plus venetoclax (HMA/VEN). The study included 279 patients (aged ≥60 years) who received IC (N=131), HMA (N=76), and HMA/VEN (N=72) between July 2017 and October 2021. No significant differences were observed in survival among the groups according to ELN 2022 risk stratification. Unsupervised hierarchical clustering analysis identified nine genomic clusters (C1-9) with varying survival outcomes depending on treatment type. For example, C4 (predominant for core binding factor-AML) displayed a favorable prognosis in the IC group, but not in the HMA or HMA/VEN groups. The HMA/VEN group had better outcomes than the HMA group in many clusters (C1, 2, 3, and 5); however, the addition of VEN to HMA or IC did not improve the survival outcomes compared with those of HMA alone in C7 and C9 (predominant for -5, del(5q), -7, -17/abn(17p), complex karyotypes, and mutated TP53). The study highlights the limitations of ELN genetic risk stratification in older adults with AML. It emphasizes the need for a more comprehensive approach that considers co-occurring somatic mutations to guide treatment selection in older adults with AML.

Indexed as

Leukemia, Myeloid, AcuteAgedAntineoplastic Combined Chemotherapy ProtocolsBridged Bicyclo Compounds, HeterocyclicGenomicsHumansMachine LearningPrognosisRetrospective StudiesRisk FactorsBridged Bicyclo Compounds, Heterocyclic

Identifiers

PMID37706344
PMCPMC10985444
OpenAlexW4386726448

What OpenQuestion holds

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LicenceCC BY-NC
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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.