References

Emerging agents and regimens for AML

10.1186/s13045-021-01062-w · 2021 · External reference

Very early death within 30 days after diagnosis in patients with acute myeloid leukemia

10.1007/s12185-022-03482-x · 2022 · External reference

Risk of early death after acute leukemia diagnosis among adolescents and young adults

10.1093/jncics/pkaf065 · 2025 · External reference

Prediction of early (4‐week) mortality in acute myeloid leukemia with intensive chemotherapy

10.1002/ajh.26395 · 2021 · External reference

Outcomes with intensive treatment for acute myeloid leukemia: an analysis of two decades of data from the HARMONY Alliance

10.3324/haematol.2024.285805 · 2024 · External reference

ELN 2017 classification significantly impacts the risk of early death in acute myeloid leukemia patients receiving intensive induction chemotherapy

10.1007/s00277-021-04716-4 · 2022 · External reference

Prognostic impact of the AML ELN2022 risk classification in patients undergoing allogeneic stem cell transplantation

10.1038/s41408-022-00764-9 · 2022 · External reference

Validation of the 2022 European LeukemiaNet risk stratification for acute myeloid leukemia

10.1038/s41598-024-57295-5 · 2024 · External reference

Redefining remission induction chemotherapy ineligibility by early mortality in de novo acute myeloid leukemia

10.3390/jcm10245768 · 2021 · External reference

Molecular profiling and clinical implications of patients with acute myeloid leukemia and extramedullary manifestations

10.1186/s13045-022-01267-7 · 2022 · External reference

Prognostic impact of extramedullary disease in acute myeloid leukemia: A meta‐analysis

10.1002/ijc.70024 · 2025 · External reference

The ISTH DIC-score predicts early mortality in patients with non-promyelocitic acute myeloid leukemia

10.1016/j.thromres.2024.02.017 · 2024 · External reference

The association between serum ferritin and survival outcome in AML patients: a meta-analysis

10.1182/blood-2024-193182 · 2024 · External reference

Blood-based proteomic profiling identifies OSMR as a novel biomarker of AML outcomes

10.1182/blood.2024027244 · 2025 · External reference

The clinical utility and prognostic value of next-generation sequencing for measurable residual disease assessment in acute myeloid leukemia

10.1177/20406207251349261 · 2025 · External reference

Development and validation of a visual nomogram for predicting clinically significant prostate cancer in negative mpMRI using 68Ga-PSMA PET/CT

10.1038/s41598-025-12312-z · 2025 · External reference

Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development

10.1111/cts.70056 · 2024 · External reference

Prognostic impact of extramedullary disease in acute myeloid leukemia: A meta-analysis

10.1002/ijc.70024 · 2025 · External reference

Treatment intensity in acute myeloid leukemia with extramedullary disease

10.1182/blood-2024-202429 · 2024 · External reference

The survival implications of extramedullary disease in acute myeloid leukemia: a systematic review and meta-analysis

10.37766/inplasy2023.10.0041 · 2023 · External reference

Disseminated intravascular coagulation in a cohort of adult acute leukemia patients: a single center experience

10.1097/mbc.0000000000001172 · 2023 · External reference

The prognostic value of plasma fibrinogen level in patients with acute myeloid leukemia: a systematic review and meta-analysis

10.1080/10428194.2020.1780587 · 2020 · External reference

Increased fibrinogen levels at diagnosis are associated with adverse outcome in patients with acute myeloid leukemia

10.1002/hon.2307 · 2017 · External reference

Ferritin in acute myeloid leukemia: not only a marker of inflammation and iron overload, but also a regulator of cellular iron metabolism, signaling and communication

10.3390/ijms26125744 · 2025 · External reference

Susceptibility of acute myeloid leukemia cells to ferroptosis and evasion strategies

10.3389/fmolb.2023.1275774 · 2023 · External reference

Impact of serum ferritin and iron overload on acute myeloid leukemia outcomes: a systematic review and meta-analysis

10.31557/apjcp.2024.25.8.2951 · 2024 · External reference

Ferritin heavy/light chain (FTH1/FTL) expression, serum ferritin levels, and their functional as well as prognostic roles in acute myeloid leukemia

10.1111/ejh.13183 · 2018 · External reference

Ferroptosis in AML: nanoparticles, biomarkers, and immune rewiring for therapeutic breakthroughs

10.1007/s12672-025-03777-5 · 2025 · External reference

Ferritin-mediated mitochondrial iron homeostasis is essential for the survival of hematopoietic stem cells and leukemic stem cells

10.1038/s41375-024-02169-y · 2024 · External reference

The prognostic impact of additional molecular and cytogenetic abnormalities on AML patients with NPM1- and/or FLT3-ITD mutations receiving intensive chemotherapy: real-world data from the Greek Registry

10.3390/cancers17040667 · 2025 · External reference

Prognostic impact of FLT3-ITD, NPM1 mutation and CEBPA bZIP domain mutation in cytogenetically normal acute myeloid leukemia: a Hokkaido Leukemia Net study

10.1007/s12185-023-03567-1 · 2023 · External reference

The clinical impact of the molecular landscape of acute myeloid leukemia

10.3324/haematol.2022.280801 · 2023 · External reference

Validation and refinement of the revised 2017 European LeukemiaNet genetic risk stratification of acute myeloid leukemia

10.1038/s41375-020-0806-0 · 2020 · External reference

Age‐stratified machine learning identifies divergent prognostic significance of molecular alterations in AML

10.1002/hem3.70132 · 2025 · External reference

Genetic identification of AML patients older than 60 years achieving long-term survival with intensive chemotherapy

10.1182/blood.2021011103 · 2021 · External reference

Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia

10.3389/fimmu.2025.1558496 · 2025 · External reference

Prediction of survival in acute myeloid leukemia patients by extracellular to intracellular water ratio and sarcopenia: development and validation of a novel nomogram

10.1007/s00277-025-06248-7 · 2025 · External reference

Machine learning-based biomarker screening for acute myeloid leukemia prognosis and therapy from diverse cell-death patterns

10.1038/s41598-024-68755-3 · 2024 · External reference

Development and validation of an in-hospital major adverse cardiovascular events risk model for young patients with acute coronary syndrome: a retrospective cohort study

10.7717/peerj.19513 · 2025 · External reference

Prediction model establishment of prognosis factors for acute myeloid leukemia based on the SEER database

10.1038/s41598-025-85310-w · 2025 · External reference