ReviewHematology. American Society of Hematology. Education Program2016
Fitness in the elderly: how to make decisions regarding acute myeloid leukemia induction.
Review in Hematology. American Society of Hematology. Education Program, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 48 citations in OpenAlex.
- Endurance and resistance training in patients with acute leukemia undergoing induction chemotherapy-a randomized pilot study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019Trial
- Genetics of acute myeloid leukemia in the elderly: mutation spectrum and clinical impact in intensively treated patients aged 75 years or older.Haematologica · 2018Trial
- Frailty and Fitness in Older Adults With Acute Myeloid Leukemia: From Chronological Age to Multiparametric Assessment.European journal of haematology · 2026Review
- Clinical Utility of Frailty Scoring in Elderly Acute Myeloid Leukemia Patients Treated With Venetoclax and Hypomethylating Agents.European journal of haematology · 2026Article
- Real-world treatment and utilization of venetoclax for incident acute myeloid leukemia in a Medicare population.Future oncology (London, England) · 2025Article
- The Problem of Molecular Target Choice for CAR-T Cells in Acute Myeloid Leukemia Therapy.International journal of molecular sciences · 2025Review
- Fitness assessment in acute myeloid leukemia: recommendations from an expert panel on behalf of the European LeukemiaNet.Blood advances · 2025Review
- Long-term survival can be achieved in a significant fraction of older patients with core-binding factor acute myeloid leukemia treated with intensive chemotherapy.Haematologica · 2025Article
- Treatment challenges and outcomes of older patients with acute myeloid leukemia from India.Annals of hematology · 2024Article
- Regional disparities in the use of intensive chemotherapy for AML in the Netherlands: does it influence survival?BMJ oncology · 2024Article
- The prognostic impact of reduced variant burden in elderly patients with acute myeloid leukemia treated with decitabine.The Korean journal of internal medicine · 2023Article
- The baseline comorbidity burden affects survival in elderly patients with acute myeloid leukemia receiving hypomethylating agents: Results from a multicentric clinical study.Cancer medicine · 2023Article
- Survival in Elderly Patients Diagnosed With Acute Myeloid Leukemia: A Hospital-Based Study.Journal of hematology · 2023Article
- Prevalence of Gene Rearrangement by Multiplex PCR in De Novo Acute Myeloid Leukemia in Adult Iraqi Patients.Journal of blood medicine · 2023Article
- Treatment Pattern, Financial Burden, and Outcomes in Elderly Patients with Acute Myeloid Leukemia in Korea: A Nationwide Cohort Study.International journal of environmental research and public health · 2022Article
- Review
- Evolving Therapeutic Approaches for Older Patients with Acute Myeloid Leukemia in 2021.Cancers · 2021Review
- When Less Is More: Reevaluating the Role of Intensive Chemotherapy for Older Adults With Acute Myeloid Leukemia in the Modern Era.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021Article
- Impact of Physicians' Personalities and Behavioral Traits on Treatment-Related Decision-making for Elderly Acute Myeloid Leukemia.Journal of general internal medicine · 2021Article
- Treatment patterns and a prognostic scoring system for elderly acute myeloid leukemia patients: a retrospective multicenter cohort study in China.Cancer biology & medicine · 2021Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute myeloid leukemia (AML) is a disease of the elderly, but less than half of these patients are offered therapy despite the evidence of better survival with treatment in this patient population. Assessing fit, vulnerable, and frail older adults with AML remains a challenge for the treating oncologist. A majority of AML patients are elderly and often have significant comorbidities, lack of social support, and older caregivers. Performance status (PS), a subjective measure of how a patient will tolerate cancer chemotherapy, has been strongly correlated with mortality in older AML patients. However, a large portion of older adults have poor PS as a result of their underlying AML, and these patients may end up being undertreated. Conversely, some patients with excellent PS unexpectedly end up with excessive toxicity and mortality. The treating physician thus needs a more objective and comprehensive method to differentiate patients along the fit-frail spectrum irrespective of their chronological age. For more than a decade, comprehensive geriatric assessment has been shown to improve routine oncology assessment by adding information about the functional, emotional, cognitive, and social status of older patients with cancer. In addition to the chronological and functional age, there is an attempt to quantify a patient's biological age to aid in better decision making. This chapter attempts to review the clinical challenges of AML treatment in the elderly population and to highlight the current literature and future research required to be able to assess fitness and maximize therapeutic options in this heterogeneous patient population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.