ArticleClinical interventions in aging2022
Correlation Analysis and Prognostic Impacts of Biological Characteristics in Elderly Patients with Acute Myeloid Leukemia.
Article in Clinical interventions in aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Outcome of Acute Myeloid Leukemia Treatment and Isocitrate Dehydrogenase (IDH) Mutations: A Systematic Review and Meta-Analysis Study.International journal of hematology-oncology and stem cell research · 2026Review
- Genetic profile of ASXL1 gene in risk assessment in acute myeloid leukemia.BMC genomic data · 2025Article
- Mechanism of Luteolin in the Treatment of Primary Sjogren's Syndrome: a Study Based on Systems Biology and Cell Experiments.ACS omega · 2025Article
- Association between Immunophenotypic Parameters and Molecular Alterations in Acute Myeloid Leukemia.Biomedicines · 2023Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The significant heterogeneity of elderly AML patients' biological features has caused stratification difficulties and adverse prognosis. This paper did a correlation study between their genetic mutations, clinical features, and prognosis to further stratify them. Methods: 90 newly diagnosed elderly acute myeloid leukemia (AML) patients (aged ≥60 years) who detected genetic mutations by next-generation sequencing (NGS) were enrolled between April 2015 and March 2021 in our medical center. Results: A total of 29 genetic mutations were identified in 82 patients among 90 cases with a frequency of 91.1%. DNMT3A, BCOR, U2AF1, and BCORL1 mutations were unevenly distributed among different FAB classifications ( Conclusion: The study showed specific correlations between elderly AML patients' genetic mutations and clinical features, some of which may impact prognosis.
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