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1Division of Hematology, University of Washington Medical Center, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. eestey@uw.edu
Best Practice & Research. Clinical Haematology
|December 1, 2011
Summary
Prognosis for older patients receiving standard chemotherapy varies. Cytogenetics, not age alone, is key for treatment decisions, guiding choices between standard and investigational therapies for better outcomes.
Area of Science:
- Hematology
- Geriatric Oncology
- Clinical Trial Design
Background:
- Standard chemotherapy (e.g., 3+7 regimen) offers variable prognoses for older adults (≥60 years).
- Monosomal karyotype is a poor prognostic indicator in treated older patients.
- Most older patients receive only supportive care, highlighting treatment challenges.
Purpose of the Study:
- To evaluate prognostic factors beyond age in older patients with hematologic malignancies.
- To inform treatment decisions regarding standard versus investigational therapy.
- To assess the role of cytogenetics and molecular markers in guiding therapy.
Main Methods:
- Analysis of prognostic factors including cytogenetics, molecular markers (NPM, FLT3), and treatment-related mortality (TRM).
- Comparison of outcomes for standard therapy (3+7) versus investigational approaches.
- Evaluation of azacitidine and decitabine efficacy in older patients.
Main Results:
- Cytogenetics, particularly monosomal karyotype, is a more significant prognostic factor than age alone.
- Delaying therapy for results of cytogenetic and molecular markers poses less risk than inappropriate treatment.
- Current hypomethylating agents (azacitidine, decitabine) show limited survival benefits, underscoring the need for novel drug trials.
Conclusions:
- Treatment decisions for older patients should integrate comprehensive prognostic factors, not solely rely on age.
- Investigational therapies are crucial for improving outcomes in older adults, given limitations of current standard treatments.
- Accurate prognostication is essential for optimizing treatment strategies and patient selection for clinical trials.