WHO, what, when, where, and why: New classification systems for acute myeloid leukemia and their impact on clinical practice
Best Practice & Research Clinical Haematology, ISSN: 1521-6926, Vol: 36, Issue: 4, Page: 101518
2023
- 2Citations
- 10Captures
- 1Mentions
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Metrics Details
- Citations2
- Citation Indexes2
- Captures10
- Readers10
- 10
- Mentions1
- News Mentions1
- News1
Most Recent News
Investigators from Fred Hutchinson Cancer Research Center Release New Data on Acute Myeloid Leukemia (Who, What, When, Where, and Why: New Classification Systems for Acute Myeloid Leukemia and Their Impact On Clinical Practice)
2024 FEB 28 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Hematology Daily -- Current study results on Oncology - Acute Myeloid Leukemia
Review Description
The goal of a disease classification system is (or should be) to provide a tool for researchers and clinicians to study and treat the disease. The last decade has seen a markedly improved understanding of the pathophysiology of acute myeloid leukemia (AML), the development of new methods to measure the disease, and approval by the Food and Drug Administration (FDA) of at least ten new therapies targeted to its treatment. In response, in 2022 one updated and one new AML classification system were published. In the same year, the European LeukemiaNet updated their recommendations about how to incorporate the advances in diagnosis and treatment into the risk stratification of AML and its treatment. The following discussion summarizes the highlights of these changes and offers an opinion of how well these changes meet the goal of aiding researchers and clinicians in the study and treatment of AML.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1521692623000798; http://dx.doi.org/10.1016/j.beha.2023.101518; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85178366258&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/38092471; https://linkinghub.elsevier.com/retrieve/pii/S1521692623000798; https://dx.doi.org/10.1016/j.beha.2023.101518
Elsevier BV
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