Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Acute Myeloid Leukemia

Authors: Margaret R, O'Donnell; Frederick R, Appelbaum; Steven E, Coutre; Lloyd E, Damon; Harry P, Erba; James, Foran; Jeffrey, Lancet; +13 Authors

Acute Myeloid Leukemia

Abstract

Approximately 13,290 people will be diagnosed with acute myeloid leukemia (AML) in 2008, and 8820 patients will die of the disease. As the population ages, the incidence of AML, along with myelodysplasia, appears to be rising. Clinical trials have led to significant treatment improvements in some areas, primarily acute promyelocytic leukemia. However, recent large clinical trials have highlighted the need for new, innovative strategies, because outcomes for AML patients have not substantially changed in the past 3 decades. The NCCN AML Panel has focused on outlining reasonable treatment options based on recent clinical trials and data from basic science, which may identify new risk factors and treatment approaches. These guidelines attempt to provide a rationale for including several treatment options in some categories, as divergent opinions about the relative risks and benefits of various treatment options have surfaced. Updates for 2009 include new clarifications of some treatment recommendations as well as for defining polymerase chain reaction positivity. For the most recent version of the guidelines, please visit NCCN.org

Keywords

Leukemia, Myeloid, Acute, Practice Guidelines as Topic, Humans

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    59
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
59
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!